cause and effect of covid 19 pandemic essay

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Student Opinion

How Did the Covid-19 Pandemic Affect You, Your Family and Your Community?

This week is the fourth anniversary of the pandemic. What are your most lasting memories? How did it reshape your life — and the world?

By Jeremy Engle

It has been four years since the World Health Organization declared Covid-19 a global pandemic on March 11, 2020. The New York Times writes of the anniversary:

Four years ago today, society began to shut down. Shortly after noon Eastern on March 11, 2020, the World Health Organization declared Covid — or “the coronavirus,” then the more popular term — to be a global pandemic. Stocks plummeted in the afternoon. In the span of a single hour that night, President Donald Trump delivered an Oval Office address about Covid, Tom Hanks posted on Instagram that he had the virus and the N.B.A. announced it had canceled the rest of its season. It was a Wednesday, and thousands of schools would shut by the end of the week. Workplaces closed, too. People washed their hands frequently and touched elbows instead of shaking hands (although the C.D.C. continued to discourage widespread mask wearing for several more weeks). The worst pandemic in a century had begun.

For some people, the earliest days of the pandemic may feel like a lifetime ago; for others, it may feel like just yesterday. But for all of us Covid has indelibly changed our lives and the world. What do you remember about the earliest days of the pandemic? When did it first hit home for you? How did it affect you, your family and your community? What lessons did you learn about yourself and the world?

In “ Four Years On, Covid Has Reshaped Life for Many Americans ,” Julie Bosman writes that while the threat of severe illness and death has faded for many people, the pandemic’s effects still linger:

Jessie Thompson, a 36-year-old mother of two in Chicago, is reminded of the Covid-19 pandemic every day. Sometimes it happens when she picks up her children from day care and then lets them romp around at a neighborhood park on the way home. Other times, it’s when she gets out the shower at 7 a.m. after a weekday workout. “I always think: In my past life, I’d have to be on the train in 15 minutes,” said Ms. Thompson, a manager at United Airlines. A hybrid work schedule has replaced her daily commute to the company headquarters in downtown Chicago, giving Ms. Thompson more time with her children and a deeper connection to her neighbors. “The pandemic is such a negative memory,” she said. “But I have this bright spot of goodness from it.” For much of the United States, the pandemic is now firmly in the past, four years to the day that the Trump administration declared a national emergency as the virus spread uncontrollably. But for many Americans, the pandemic’s effects are still a prominent part of their daily lives. In interviews, some people said that the changes are subtle but unmistakable: Their world feels a little smaller, with less socializing and fewer crowds. Parents who began to home-school their children never stopped. Many people are continuing to mourn relatives and spouses who died of Covid or of complications from the coronavirus. The World Health Organization dropped its global health emergency designation in May 2023, but millions of people who survived the virus are suffering from long Covid, a mysterious and frequently debilitating condition that causes fatigue, muscle pain and cognitive decline . One common sentiment has emerged. The changes brought on by the pandemic now feel lasting, a shift that may have permanently reshaped American life.

As part of our coverage of the pandemic’s anniversary, The Times asked readers how Covid has changed their attitudes toward life. Here is what they said:

“I’m a much more grateful person. Life is precious, and I see the beauty in all the little miracles that happen all around me. I’m a humbled human being now. I have more empathy and compassion towards everyone.” — Gil Gallegos, 59, Las Vegas, N.M. “The pandemic has completely changed my approach to educating my child. My spouse and I had never seriously considered home-schooling until March 2020. Now, we wouldn’t have it any other way.” — Kim Harper, 47, Clinton, Md. “I had contamination O.C.D. before the pandemic began. The last four years have been a steady string of my worst fears coming true. I never feel safe anymore. I know very well now that my body can betray me at any time.” — Adelia Brown, 23, Madison, Wis. “I don’t take for granted the pleasure of being around people. Going to a show, a road trip, a restaurant, people watching at the opera. I love it.” — Philip Gunnels, 66, Sugar Land, Texas “My remaining years are limited. On the one hand, I feel cheated out of many experiences I was looking forward to; on the other hand, I do not want to live my remaining years with long Covid. It’s hard.” — Sandra Wulach, 77, Edison, N.J.

Students, read one or both of the articles and then tell us:

How did the Covid-19 pandemic affect you, your family and your community? How did it reshape your life and the world? What are your most lasting memories of this difficult period? What do you want to remember most? What do you want to forget?

How did you change during this time? What did you learn about yourself and about life? What do you wish you knew then that you know now?

Ms. Bosman writes that some of the people she interviewed revealed that four years after the global pandemic began, “Their world feels a little smaller, with less socializing and fewer crowds.” However, Gil Gallegos told The Times: “I’m a much more grateful person. Life is precious, and I see the beauty in all the little miracles that happen all around me. I’m a humbled human being now. I have more empathy and compassion towards everyone.” Which of the experiences shared in the two articles reminded you the most of your own during and after the pandemic and why? How did Covid change your overall outlook on life?

“The last normal day of school.” “The nursing home shut its doors.” “The bride wore Lululemon.” These are just a few quotes from “ When the Pandemic Hit Home ,” an article in which The Times asked readers to share their memories of the world shutting down. Read the article and then tell us about a time when the pandemic hit home for you.

In the last four years, scientists have unraveled some of the biggest mysteries about Covid. In another article , The Times explores many remaining questions about the coronavirus: Are superdodgers real? Is Covid seasonal? And what’s behind its strangest symptoms? Read the article and then tell us what questions you still have about the virus and its effects.

How do you think history books will tell the story of the pandemic? If you were to put together a time capsule of artifacts from this era to show people 100 years from now, what would you include and why? What will you tell your grandchildren about what it was like to live during this time?

Students 13 and older in the United States and Britain, and 16 and older elsewhere, are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public and may appear in print.

Find more Student Opinion questions here. Teachers, check out this guide to learn how you can incorporate these prompts into your classroom.

Jeremy Engle joined The Learning Network as a staff editor in 2018 after spending more than 20 years as a classroom humanities and documentary-making teacher, professional developer and curriculum designer working with students and teachers across the country. More about Jeremy Engle

Special Issue: COVID-19

This essay was published as part of a Special Issue on Misinformation and COVID-19, guest-edited by Dr. Meghan McGinty (Director of Emergency Management, NYC Health + Hospitals) and Nat Gyenes (Director, Meedan Digital Health Lab).

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The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media

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We investigate the relationship between media consumption, misinformation, and important attitudes and behaviours during the coronavirus disease 2019 (COVID-19) pandemic. We find that comparatively more misinformation circulates on Twitter, while news media tends to reinforce public health recommendations like social distancing. We find that exposure to social media is associated with misperceptions regarding basic facts about COVID-19 while the inverse is true for news media. These misperceptions are in turn associated with lower compliance with social distancing measures. We thus draw a clear link from misinformation circulating on social media, notably Twitter, to behaviours and attitudes that potentially magnify the scale and lethality of COVID-19.

Department of Political Science, McGill University, Canada

Munk School of Global Affairs and Public Policy, University of Toronto, Canada

Max Bell School of Public Policy, McGill University, Canada

School of Computer Science, McGill University, Canada

Department of Languages, Literatures, and Cultures, McGill University, Canada

Computer Science Program, McGill University, Canada

Research Questions

• How prevalent is misinformation surrounding COVID-19 on Twitter, and how does this compare to Canadian news media?
• Does the type of media one is exposed to influence social distancing behaviours and beliefs about COVID-19?
• Is there a link between COVID-19 misinformation and perceptions of the pandemic’s severity and compliance with social distancing recommendations?

Essay Summary

• We evaluate the presence of misinformation and public health recommendations regarding COVID-19 in a massive corpus of tweets as well as all articles published on nineteen Canadian news sites. Using these data, we show that preventative measures are more encouraged and covered on traditional news media, while misinformation appears more frequently on Twitter.
• To evaluate the impact of this greater level of misinformation, we conducted a nationally representative survey that included questions about common misperceptions regarding COVID-19, risk perceptions, social distancing compliance, and exposure to traditional news and social media. We find that being exposed to news media is associated with fewer misperceptions and more social distancing compliance while conversely, social media exposure is associated with more misperceptions and less social distancing compliance.
• Misperceptions regarding the virus are in turn associated with less compliance with social distancing measures, even when controlling for a broad range of other attitudes and characteristics.
• Association between social media exposure and social distancing non-compliance is eliminated when accounting for effect of misperceptions, providing evidence that social media is associated with non-compliance through increasing misperceptions about the virus.

Implications

The COVID-19 pandemic has been accompanied by a so-called “infodemic”—a global spread of misinformation that poses a serious problem for public health. Infodemics are concerning because the spread of false or misleading information has the capacity to change transmission patterns (Kim et al., 2019) and consequently the scale and lethality of a pandemic. This information can be shared by any media, but there is reason to be particularly concerned about the role that social media, such as Facebook and Twitter, play in incidentally boosting misperceptions. These platforms are increasingly relied upon as primary sources of news (Mitchell et al., 2016) and misinformation has been heavily documented on them (Garrett, 2019; Vicario et al., 2016). Scholars have found medical and health misinformation on the platforms, including that related to vaccines (Radzikowski et al., 2016) and other virus epidemics such as Ebola (Fung et al., 2016) and Zika (Sharma et al., 2017). 

However, misinformation content typically makes up a low percentage of overall discussion of a topic (e.g. Fung et al., 2016) and mere exposure to misinformation does not guarantee belief in that misinformation. More research is thus needed to understand the extent and consequences of misinformation surrounding COVID-19 on social media. During the COVID-19 pandemic, Twitter, Facebook and other platforms have engaged in efforts to combat misinformation but they have continued to receive widespread criticism that misinformation is still appearing on prominent pages and groups (Kouzy et al., 2020; NewsGuard, 2020). The extent to which misinformation continues to circulate on these platforms and influence people’s attitudes and behaviours is still very much an open question.

Here, we draw on three data sets and a sequential mixed method approach to better understand the consequences of online misinformation for important behaviours and attitudes. First, we collected nearly 2.5 million tweets explicitly referring to COVID-19 in the Canadian context. Second, we collected just over 9 thousand articles from nineteen Canadian English-language news sites from the same time period. We coded both of these media sets for misinformation and public health recommendations. Third, we conducted a nationally representative survey that included questions related to media consumption habits, COVID-19 perceptions and misperceptions, and social distancing compliance. As our outcome variables are continuous, we use Ordinary Least Squares (OLS) regression to identify relationships between news and social media exposure, misperceptions, compliance with social distancing measures, and risk perceptions. We use these data to illustrate: 1) the relative prevalence of misinformation on Twitter; and 2) a powerful association between social media usage and misperceptions, on the one hand, and social distancing non-compliance on the other.

Misinformation and compliance with social distancing

We first compare the presence of misinformation on Twitter with that on news media and find, consistent with the other country cases (Chadwick & Vaccari, 2019; Vicario et al., 2016), comparatively higher levels of misinformation circulating on the social media platform. We also found that recommendations for safe practices during the pandemic (e.g. washing hands, social distancing) appeared much more frequently in the Canadian news media. These findings are in line with literature examining fake news which finds a large difference in information quality across media (Al-Rawi, 2019; Guess & Nyhan, 2018).

Spending time in a media environment that contains misinformation is likely to change attitudes and behaviours. Even if users are not nested in networks that propagate misinformation, they are likely to be incidentally exposed to information from a variety of perspectives (Feezell, 2018; Fletcher & Nielsen, 2018; Weeks et al., 2017). Even a highly curated social media feed is thus still likely to contain misinformation. As cumulative exposure to misinformation increases, users are likely to experience a reinforcement effect whereby familiarity leads to stronger belief (Dechêne et al., 2010).

To evaluate this empirically, we conducted a national survey that included questions on information consumption habits and a battery of COVID-19 misperceptions that could be the result of exposure to misinformation. We find that those who self-report exposure to the misinformation-rich social media environment do tend to have more misperceptions regarding COVID-19. These findings are consistent with others that link exposure to misinformation and misperceptions (Garrett et al., 2016; Jamieson & Albarracín, 2020). Social media users also self-report less compliance with social distancing.

Misperceptions are most meaningful when they impact behaviors in dangerous ways. During a pandemic, misperceptions can be fatal. In this case, we find that misperceptions are associated with reduced COVID-19 risk perceptions and with lower compliance with social distancing measures. We continue to find strong effects after controlling for socio-economic characteristics as well as scientific literacy. After accounting for the effect of misperceptions on social distancing non-compliance, social media usage no longer has a significant association with non-compliance, providing evidence that social media may lead to less social distancing compliance through its effect on COVID-19 misperceptions.

While some social media companies have made efforts to suppress misinformation on their platforms, there continues to be a high level of misinformation relative to news media. Highly polarized political environments and media ecosystems can lead to the spread of misinformation, such as in the United States during the COVID-19 pandemic (Allcott et al., 2020; Motta et al., 2020). But even in healthy media ecosystems with less partisan news (Owen et al., 2020), social media can continue to facilitate the spread of misinformation. There is a real danger that without concerted efforts to reduce the amount of misinformation shared on social media, the large-scale social efforts required to combat COVID-19 will be undermined. 

We contribute to a growing base of evidence that misinformation circulating on social media poses public health risks and join others in calling for social media companies to put greater focus on flattening the curve of misinformation (Donovan, 2020). These findings also provide governments with stronger evidence that the misinformation circulating on social media can be directly linked to misperceptions and public health risks. Such evidence is essential for them to chart an effective policy course. Finally, the methods and approach developed in this paper can be fruitfully applied to study other waves of misinformation and the research community can build upon the link clearly drawn between misinformation exposure, misperceptions, and downstream attitudes and behaviours.

We found use of social media platforms broadly contributes to misperceptions but were unable to precise the overall level of misinformation circulating on non-Twitter social media. Data access for researchers to platforms such as Facebook, YouTube, and Instagram is limited and virtually non-existent for SnapChat, WhatsApp, and WeChat. Cross-platform content comparisons are an important ingredient for a rich understand of the social media environment and these social media companies must better open their platforms to research in the public interest. 

Finding 1: Misinformation about COVID-19 is circulated more on Twitter as compared to traditional media.

We find large differences between the quality of information shared about COVID-19 on traditional news and Twitter. Figure 1 shows the percentage of COVID-19 related content that contains information linked to a particular theme. The plot reports the prevalence of information on both social and news media for: 1) three specific pieces of misinformation; 2) a general set of content that describes the pandemic itself as a conspiracy or a hoax; and 3) advice about hygiene and social distancing during the pandemic. We differentiate content that shared misinformation (red in the plot) from content that debunked misinformation (green in the plot). 

There are large differences between the levels of misinformation on Twitter and news media. Misinformation was comparatively more common on Twitter across all four categories, while debunking was relatively more common in traditional news. Meanwhile, advice on hygiene and social distancing appeared much more frequently in news media. Note that higher percentages are to be expected for longer format news articles since we rely on keyword searches for identification. This makes the misinformation findings even starker – despite much higher average word counts, far fewer news articles propagate misinformation.

Finding 2: There is a strong association between social media exposure and misperceptions about COVID-19. The inverse is true for exposure to traditional news.

Among our survey respondents we find a corresponding strong association between social media exposure and misperceptions about COVID-19. These results are plotted in Figure 2, with controls included for both socioeconomic characteristics and demographics. Moving from no social media exposure to its maximum is expected to increase one’s misperceptions of COVID-19 by 0.22 on the 0-1 scale and decreased self-reported social distancing compliance by 0.12 on that same scale.

This result stands in stark contrast with the observed relationship between traditional news exposure and our outcome measures. Traditional news exposure is  positively  associated with correct perceptions regarding COVID-19. Moving from no news exposure to its highest level is expected to reduce misperceptions by 0.12 on the 0-1 scale and to increase social distancing compliance by 0.28 on that same scale. The effects are plotted in Figure 2. Social media usage appears to be correlated with COVID-19 misperceptions, suggesting these misperceptions are partially a result of misinformation on social media. The same cannot be said of traditional news exposure.

Finding 3: Misperceptions about the pandemic are associated with lower levels of risk perceptions and social distancing compliance.

COVID-19 misperceptions are also powerfully associated with  lower  levels of social distancing compliance. Moving from the lowest level of COVID-19 misperceptions to its maximum is associated with a reduction of one’s social distancing by 0.39 on the 0-1 scale. The previously observed relationship between social media exposure and misperceptions disappears, suggestive of a mediated relationship. That is, social media exposure increases misperceptions, which in turn reduces social distancing compliance. Misperceptions is also weakly associated with lower COVID-19 risk perceptions. Estimates from our models using COVID-19 concern as the outcome can be found in the left panel of Figure 3, while social distancing can be found in the right panel.

Finally, we also see that the relationship between misinformation and both social distancing compliance and COVID-19 concern hold when including controls for science literacy and a number of fundamental predispositions that are likely associated with both misperceptions and following the advice of scientific experts, such as anti-intellectualism, pseudoscientific beliefs, and left-right ideology. These estimates can similarly be found in Figure 3.

Canadian Twitter and news data were collected from March 26 th  to April 6 th , 2020. We collected all English-language tweets from a set of 620,000 users that have been determined to be likely Canadians. For inclusion, a given user must self-identify as Canadian-based, follow a large number of Canadian political elite accounts, or frequently use Canadian-specific hashtags. News media was collected from nineteen prominent Canadian news sites with active RSS feeds. These tweets and news articles were searched for “covid” or “coronavirus”, leaving a sample of 2.25 million tweets and 8,857 news articles.

Of the COVID-19 related content, we searched for terms associated with four instances of misinformation that circulated during the COVID-19 pandemic: that COVID-19 was no more serious than the flu, that vitamin C or other supplements will prevent contraction of the virus, that the initial animal-to-human transfer of the virus was the direct result of eating bats, or that COVID-19 was a hoax or conspiracy. Given that we used keyword searches to identify content, we manually reviewed a random sample of 500 tweets from each instance of misinformation. Each tweet was coded as one of four categories: propagating misinformation, combatting misinformation, content with the relevant keywords but unrelated to misinformation, or content that refers to the misinformation but does not offer comment. 

We then calculated the overall level of misinformation for that instance on Twitter by multiplying the overall volume of tweets by the proportion of hand-coded content where misinformation was identified. Each news article that included relevant keywords was similarly coded. The volume of the news mentioning these terms was sufficiently low that all news articles were hand coded. To identify health recommendations, we used a similar keyword search for terms associated with particular recommendations: 1) social distancing including staying at home, staying at least 6 feet or 2 meters away and avoiding gatherings; and 2) washing hands and not touching any part of your face. 1 Further details on the media collection strategy and hand-coding schema are available in the supporting materials.

For survey data, we used a sample of nearly 2,500 Canadian citizens 18 years or older drawn from a probability-based online national panel fielded from April 2-6, 2020. Quotas we set on age, gender, region, and language to ensure sample representativeness, and data was further weighted within region by gender and age based on the 2016 Canadian census.

We measure levels of COVID-19 misperceptions by asking respondents to rate the truthfulness of a series of nine false claims, such as the coronavirus being no worse than the seasonal flu or that it can be warded off with Vitamin C. Each was asked on a scale from definitely false (0) to definitely true (5). We use Cronbach’s Alpha as an indicator of scale reliability. Cronbach’s Alpha ranges from 0-1, with scores above 0.8 indicating the reliability is “good.” These items score 0.88, so we can safely construct a 0-1 scale of misperceptions from them. 

We evaluate COVID-19 risk perceptions with a pair of questions asking respondents how serious of a threat they believe the pandemic to be for themselves and for Canadians, respectively. Each question was asked on a scale from not at all (0) to very (4). We construct a continuous index with these items.

We quantify social distancing by asking respondents to indicate which of a series of behaviours they had undertaken in response to the pandemic, such as working from home or avoiding in-person contact with friends, family, and acquaintances. We use principal component analysis (PCA) to reduce the number of dimensions in these data while minimizing information loss. The analysis revealed 2 distinct dimensions in our questions. One dimension includes factors strongly determined by occupation, such as working from home and switching to online meetings. The other dimension contains more inclusive behaviours such as avoiding contact, travel, and crowded places. We generate predictions from the PCA for this latter dimension to use in our analyses. The factor loadings can be found in Table A1 of the supporting materials.

 We gauge news and social media consumption by asking respondents to identify news outlets and social media platforms they have used over the past week for political news. The list of news outlets included 17 organizations such as mainstream sources like CBC and Global, and partisan outlets like Rebel Media and National Observer. The list of social media platforms included 10 options such as Facebook, Twitter, YouTube, and Instagram. We sum the total number of outlets/platforms respondents report using and take the log to adjust for extreme values. We measure offline political discussion with an index based on questions asking how often respondents have discussed politics with family, friends, and acquaintances over the past week. Descriptions of our primary variables can be found in Table A2 of the supporting materials. 

We evaluate our hypotheses using a standard design that evaluates the association between our explanatory and outcome variables controlling for other observable factors we measured. In practice, randomly assigning social media exposure is impractical, while randomly assigning misinformation is unethical. This approach allows us to describe these relationships, though we cannot make definite claims to causality.

We hypothesize that social media exposure is associated with misinformation on COVID-19. Figure 2 presents the coefficients of models predicting the effects of news exposure, social media exposure, and political discussion on COVID-19 misinformation, risk perceptions, and social distancing. Socio-economic and demographic control estimates are not displayed. Full estimation results can be found in the Table A3 of the supporting materials. 

We further hypothesize that COVID-19 misinformation is associated with lower COVID-19 risk perceptions and less social distancing compliance. Figure 3 presents the coefficients for models predicting the effects of misinformation, news exposure, and social media exposure on severity perceptions and social distancing. We show models with and without controls for science literacy and other predispositions. Full estimation results can be found in the Table A4 of the supporting materials.

Limitations and robustness

A study such as this comes with clear limitations. First, we have evaluated information coming from only a section of the overall media ecosystem and during a specific time-period. The level of misinformation differs across platforms and online news sites and a more granular investigation into these dynamics would be valuable. Our analysis suggests that similar dynamics exist across social media platforms, however. In the supplementary materials we show that associations between misperceptions and social media usage are even higher for other social media platforms, suggesting that our analysis of Twitter content may underrepresent the prevalence of misinformation on social media writ large. As noted above, existing limitations on data access make such cross-platform research difficult.

Second, our data is drawn from a single country and language case study and other countries may have different media environments and levels of misinformation circulating on social media. We anticipate the underlying dynamics found in this paper to hold across these contexts, however. Those who consume information from platforms where misinformation is more prevalent will have greater misperceptions and that these misperceptions will be linked to lower compliance with social distancing and lower risk perceptions. Third, an ecological problem is present wherein we do not link survey respondents directly to their social media consumption (and evaluation of the misinformation they are exposed to) and lack the ability to randomly assign social media exposure to make a strong causal argument. We cannot and do not make a causal argument here but argue instead that there is strong evidence for a misinformation to misperceptions to lower social distancing compliance link. 

• / Fake News
• / Mainstream Media
• / Public Health
• / Social Media

Cite this Essay

Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D., Teichmann, L., & Zhilin, O. (2020). The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-028

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The project was funded through the Department of Canadian Heritage’s Digital Citizens Initiative.

Competing Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The research protocol was approved by the institutional review board at University of Toronto. Human subjects gave informed consent before participating and were debriefed at the end of the study.

This  is  an open access article distributed under the terms of the Creative  Commons  Attribution  License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.

Data Availability

All materials needed to replicate this study are available via the Harvard Dataverse: https://doi.org/10.7910/DVN/5QS2XP .

How to Write About Coronavirus in a College Essay

Students can share how they navigated life during the coronavirus pandemic in a full-length essay or an optional supplement.

Writing About COVID-19 in College Essays

Getty Images

Experts say students should be honest and not limit themselves to merely their experiences with the pandemic.

The global impact of COVID-19, the disease caused by the novel coronavirus, means colleges and prospective students alike are in for an admissions cycle like no other. Both face unprecedented challenges and questions as they grapple with their respective futures amid the ongoing fallout of the pandemic.

Colleges must examine applicants without the aid of standardized test scores for many – a factor that prompted many schools to go test-optional for now . Even grades, a significant component of a college application, may be hard to interpret with some high schools adopting pass-fail classes last spring due to the pandemic. Major college admissions factors are suddenly skewed.

"I can't help but think other (admissions) factors are going to matter more," says Ethan Sawyer, founder of the College Essay Guy, a website that offers free and paid essay-writing resources.

College essays and letters of recommendation , Sawyer says, are likely to carry more weight than ever in this admissions cycle. And many essays will likely focus on how the pandemic shaped students' lives throughout an often tumultuous 2020.

But before writing a college essay focused on the coronavirus, students should explore whether it's the best topic for them.

Writing About COVID-19 for a College Application

Much of daily life has been colored by the coronavirus. Virtual learning is the norm at many colleges and high schools, many extracurriculars have vanished and social lives have stalled for students complying with measures to stop the spread of COVID-19.

"For some young people, the pandemic took away what they envisioned as their senior year," says Robert Alexander, dean of admissions, financial aid and enrollment management at the University of Rochester in New York. "Maybe that's a spot on a varsity athletic team or the lead role in the fall play. And it's OK for them to mourn what should have been and what they feel like they lost, but more important is how are they making the most of the opportunities they do have?"

That question, Alexander says, is what colleges want answered if students choose to address COVID-19 in their college essay.

But the question of whether a student should write about the coronavirus is tricky. The answer depends largely on the student.

"In general, I don't think students should write about COVID-19 in their main personal statement for their application," Robin Miller, master college admissions counselor at IvyWise, a college counseling company, wrote in an email.

"Certainly, there may be exceptions to this based on a student's individual experience, but since the personal essay is the main place in the application where the student can really allow their voice to be heard and share insight into who they are as an individual, there are likely many other topics they can choose to write about that are more distinctive and unique than COVID-19," Miller says.

Opinions among admissions experts vary on whether to write about the likely popular topic of the pandemic.

"If your essay communicates something positive, unique, and compelling about you in an interesting and eloquent way, go for it," Carolyn Pippen, principal college admissions counselor at IvyWise, wrote in an email. She adds that students shouldn't be dissuaded from writing about a topic merely because it's common, noting that "topics are bound to repeat, no matter how hard we try to avoid it."

Above all, she urges honesty.

"If your experience within the context of the pandemic has been truly unique, then write about that experience, and the standing out will take care of itself," Pippen says. "If your experience has been generally the same as most other students in your context, then trying to find a unique angle can easily cross the line into exploiting a tragedy, or at least appearing as though you have."

But focusing entirely on the pandemic can limit a student to a single story and narrow who they are in an application, Sawyer says. "There are so many wonderful possibilities for what you can say about yourself outside of your experience within the pandemic."

He notes that passions, strengths, career interests and personal identity are among the multitude of essay topic options available to applicants and encourages them to probe their values to help determine the topic that matters most to them – and write about it.

That doesn't mean the pandemic experience has to be ignored if applicants feel the need to write about it.

Writing About Coronavirus in Main and Supplemental Essays

Students can choose to write a full-length college essay on the coronavirus or summarize their experience in a shorter form.

To help students explain how the pandemic affected them, The Common App has added an optional section to address this topic. Applicants have 250 words to describe their pandemic experience and the personal and academic impact of COVID-19.

"That's not a trick question, and there's no right or wrong answer," Alexander says. Colleges want to know, he adds, how students navigated the pandemic, how they prioritized their time, what responsibilities they took on and what they learned along the way.

If students can distill all of the above information into 250 words, there's likely no need to write about it in a full-length college essay, experts say. And applicants whose lives were not heavily altered by the pandemic may even choose to skip the optional COVID-19 question.

"This space is best used to discuss hardship and/or significant challenges that the student and/or the student's family experienced as a result of COVID-19 and how they have responded to those difficulties," Miller notes. Using the section to acknowledge a lack of impact, she adds, "could be perceived as trite and lacking insight, despite the good intentions of the applicant."

To guard against this lack of awareness, Sawyer encourages students to tap someone they trust to review their writing , whether it's the 250-word Common App response or the full-length essay.

Experts tend to agree that the short-form approach to this as an essay topic works better, but there are exceptions. And if a student does have a coronavirus story that he or she feels must be told, Alexander encourages the writer to be authentic in the essay.

"My advice for an essay about COVID-19 is the same as my advice about an essay for any topic – and that is, don't write what you think we want to read or hear," Alexander says. "Write what really changed you and that story that now is yours and yours alone to tell."

Sawyer urges students to ask themselves, "What's the sentence that only I can write?" He also encourages students to remember that the pandemic is only a chapter of their lives and not the whole book.

Miller, who cautions against writing a full-length essay on the coronavirus, says that if students choose to do so they should have a conversation with their high school counselor about whether that's the right move. And if students choose to proceed with COVID-19 as a topic, she says they need to be clear, detailed and insightful about what they learned and how they adapted along the way.

"Approaching the essay in this manner will provide important balance while demonstrating personal growth and vulnerability," Miller says.

Pippen encourages students to remember that they are in an unprecedented time for college admissions.

"It is important to keep in mind with all of these (admission) factors that no colleges have ever had to consider them this way in the selection process, if at all," Pippen says. "They have had very little time to calibrate their evaluations of different application components within their offices, let alone across institutions. This means that colleges will all be handling the admissions process a little bit differently, and their approaches may even evolve over the course of the admissions cycle."

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COVID-19 and Chronic Disease: The Impact Now and in the Future

ESSAY — Volume 18 — June 17, 2021

Karen A. Hacker, MD, MPH 1 ; Peter A. Briss, MD, MPH 1 ; Lisa Richardson, MD, MPH 1 ; Janet Wright, MD 1 ; Ruth Petersen, MD, MPH 1 ( View author affiliations )

Suggested citation for this article: Hacker KA, Briss PA, Richardson L, Wright J, Petersen R. COVID-19 and Chronic Disease: The Impact Now and in the Future. Prev Chronic Dis 2021;18:210086. DOI: http://dx.doi.org/10.5888/pcd18.210086 external icon .

PEER REVIEWED

The Problem of COVID-19 and Chronic Disease

Raise awareness, collaborate on solutions and build trust, address long-term covid-19 sequelae, how will the national center for chronic disease prevention and health promotion contribute, acknowledgments, author information.

Chronic diseases represent 7 of the top 10 causes of death in the United States (1). Six in 10 Americans live with at least 1 chronic condition, such as heart disease, stroke, cancer, or diabetes (2). Chronic diseases are also the leading causes of disability in the US and the leading drivers of the nation’s $3.8 trillion annual health care costs (2,3).

The COVID-19 pandemic has resulted in enormous personal and societal losses, with more than half a million lives lost (4). COVID-19 is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can result in respiratory distress. In addition to the physical toll, the emotional impact has yet to be fully understood. For those with chronic disease, the impact has been particularly profound (5,6). Heart disease, diabetes, cancer, chronic obstructive pulmonary disease, chronic kidney disease, and obesity are all conditions that increase the risk for severe illness from COVID-19 (7). Other factors, including smoking and pregnancy, also increase the risk (7). Finally, in addition to COVID-19–related deaths since February 1, 2020, an increase in deaths has been observed among people with dementia, circulatory diseases, and diabetes among other causes (8). This increase could reflect undercounting COVID-19 deaths or indirect effects of the virus, such as underutilization of, or stresses on, the health care system (8).

Some populations, including those with low socioeconomic status and those of certain racial and ethnic groups, including African American, Hispanic, and Native American, have a disproportionate burden of chronic disease, SARS-CoV-2 infection, and COVID-19 diagnosis, hospitalization, and mortality (9). These populations are at higher risk because of exposure to suboptimal social determinants of health (SDoH). SDoH are factors that influence health where people live, work, and play, and can create obstacles that contribute to inequities. Education, type of employment, poor or no access to health care, lack of safe and affordable housing, lack of access to healthy food, structural racism, and other conditions all affect a wide range of health outcomes (10–12). The COVID-19 pandemic has exacerbated existing health inequities and laid bare underlying root causes.

The COVID-19 pandemic has had direct and indirect effects on people with chronic disease. In addition to morbidity and mortality, high rates of community spread and various mitigation efforts, including stay-at-home recommendations, have disrupted lives and created social and economic hardships (13). This pandemic has also raised concerns about safely accessing health care (14) and has reduced the ability to prevent or control chronic disease. This essay discusses the impact that these challenges have or could have on people with chronic disease now and in the future. Exploring the impact of COVID-19 should help the public health and health care communities effectively improve health outcomes.

The challenges we face as public health professionals are divided into 3 categories. The first category involves the current effects of COVID-19 on those with, or at risk for, chronic diseases and those at higher risk for severe COVID-19 illness. Inherent in this category is the need for balance between protecting people with chronic diseases from COVID-19 while assuring they can engage in disease prevention, manage their conditions effectively, and safely receive needed health care.

The second category is the postpandemic impact of COVID-19 on the prevention, identification, and management of chronic disease. COVID-19 has resulted in decreases of many types of health care utilization (15), ranging from preventive care to chronic disease management and even emergency care (16). As of June 2020, 4 in 10 adults surveyed reported delaying or avoiding routine or emergent medical care because of the pandemic (14). Cancer screenings, for example, dropped during the pandemic (17). Decreases in screening have resulted in the diagnoses of fewer cancers and precancers (18), and modeling studies have estimated that delayed screening and treatment for breast and colorectal cancer could result in almost 10,000 preventable deaths in the United States (19). We have lost ground in prevention across the chronic disease spectrum and in other areas, including pediatric immunization (20), mental health (21,22), and substance abuse (21,22).

Some challenges with health care utilization may be improving, but improvement has not been consistent across all health care visit types, providers, patients, or communities (15). Questions about the impact of the pandemic on chronic disease include:

What diseases have been missed or allowed to worsen?

What is the status of prevention and disease management efforts?

Have prevention and disease management efforts been affected by concerns such as job loss, loss of insurance, lack of access to healthy food, or loss of places and opportunities to be physically active?

How have effects of the pandemic on health care systems (staff reductions, health practice closures, disrupted services) (23) and public health organizations’ deployment of personnel away from ongoing chronic disease prevention efforts been experienced nationally?

The effects of COVID-19, whether negative or positive, on health care and public health systems will certainly affect those with chronic disease. To fully understand the consequences of the pandemic, we need to assess its overall impact on incidence, management, and outcomes of chronic disease. This is particularly salient in communities where health inequities are already rampant or communities that are remote or underserved. Will our postpandemic response be strong enough to mitigate the exacerbation of inequities that have occurred? Can public health agencies effectively build trust in science and community health care systems where trust might never have been fully established or where it has been lost?

The third category relates to the long-term COVID-19 sequelae, both as a disease entity and from a population perspective. Has COVID-19 created a new group of patients with chronic diseases, neurologic or psychiatric conditions, diabetes, or effects on the heart, lungs, kidneys, or other organs (24)? Has it worsened existing conditions or caused additional chronic disease? And, at the population level, have the incidence and prevalence of chronic diseases increased because of pandemic-related health behaviors or other challenges, such as decreased food and nutrition security?

Given the rollout of COVID-19 vaccines and the coming end of the pandemic, this is an important time to examine the impact of COVID-19. Solutions at all levels are needed to improve health outcomes and lessen health inequities among people with or at risk for chronic disease. Solutions are likely to include increasing awareness about prevention and care during and after the pandemic, building or enhancing cross-organizational and cross-sector partnerships, innovating to address identified gaps, and addressing SDoH to improve health and achieve equity. So, what can be done?

Additional focus is required on several aspects of awareness about the impact of COVID-19. First, public health and health care practitioners need to allay people’s fears and help them safely return to health care. We need to reemphasize chronic disease prevention and care, explain how to safely access care, and convey the host of mitigation efforts made by health care systems, providers, and public health to ensure that environments are safe (eg, mask requirements, social distancing). Emphasis on safety and mitigation applies to both disease prevention (such as encouraging healthy nutrition and physical activity, screening for cancer and other conditions, and getting oral health care) and disease management (eg, educating patients about medications to control hypertension, diabetes, asthma, and other chronic conditions). Efforts must also include helping those with chronic diseases obtain access to and gain confidence in the COVID-19 vaccine. Given current community rates of COVID-19 and the need to reenter care after the height of the pandemic, information can help patients make informed choices about the need for in-person care, communication at a distance, or temporary delays in care that is more discretionary.

To garner support to help affected communities, there is a need to build awareness about how COVID-19 has disproportionately affected particular communities, including the unequal distribution of disease, morbidity, mortality, and resources, such as access to vaccines. Awareness is dependent on access to data at the granular geographic level, including information on the burden of chronic disease and the status of SDoH. Communities need data to effectively address health inequities in the aftermath of the pandemic.

Public health plays a significant role in addressing health behaviors (healthy eating, physical activity, avoiding tobacco and other substance use) and community solutions to address SDoH that impact prevention and control of chronic disease. Collaborations at both the individual and system levels, however, are required for success. Collaborative partners include other government and nongovernmental organizations, health care organizations, insurers, nonprofit organizations, community and faith-based groups, schools, businesses, and others. Coalitions and community groups are critical change agents. They have worked with local health departments and others to identify solutions, bring residents into discussions, and implement action. We can learn from them about how best to build trust and foster the innovation they are leading. Solutions must also include direct discussions with residents in affected communities to understand their priorities and effectively address their concerns. These relationships are particularly salient to address SDoH. These factors have been amplified as a direct consequence of COVID-19 and will require a multisector approach to problem solving.

To achieve this will require building trust in both the health care system and the public health system. The pandemic has taken a toll on an already fragile relationship between communities and public health and health care institutions where trust has been absent or insufficient. To begin to address the trust challenge will require investments in outreach, engagement, and transparency. Conversations need to be bidirectional, long-term, and conducted by people who are trusted, who are respectful, and who can identify with affected populations.

Creative solutions are needed to engage populations and promote resiliency among those who are disproportionately affected by COVID-19. Efforts that need to be further developed and brought to scale include the following:

Leveraging technology to expand the reach of health care and health promotion (eg, telemedicine, virtual program delivery, wearables, mobile device applications).

Providing more services in community settings, as is increasingly modeled in the National Diabetes Prevention Program (25).

Using community health workers to assist in assessing current conditions and connecting to community resources.

Further enhancing approaches to increase access to and convenience of services (eg, increasing access to home screenings, such as cancer screening) or monitoring (eg, home blood pressure monitoring) where appropriate.

Health care approaches, such as telemedicine, have expanded greatly during the pandemic and seem likely to continue expansion over time. As these and related efforts grow, practitioners will need to ensure that existing disparities are not magnified. Care is needed to ensure that those with the highest health needs can access services. For example, are technological solutions easily accessible, available in multiple languages, compatible with readily available hardware options, such as telephones rather than laptops? Are culturally appropriate resources available to help people use and value these technologies? In addition, computer availability and internet access will need to be expanded. Challenges such as unemployment, food insecurity, limited transportation, substance abuse, and social isolation will require a multisector effort uniquely adapted to local contexts. To begin, health equity–focused policy analyses and health impact assessments will help policy makers understand better how proposed SDoH-related action might either exacerbate or mitigate chronic disease inequities. These actions will help us develop a deeper understanding of what individual communities need to mobilize and build resilience for the future. We face serious public health and population health concerns that should be the focus in the near term — particularly as equitable access to COVID-19 vaccines is a consideration in every community across the nation. We clearly have an enormous amount of work to do as we enter recovery from the pandemic, but with recovery comes enormous opportunity.

A challenge related to long-term COVID-19 sequelae is that we do not know yet the extent that COVID-19 exacerbates chronic disease, causes chronic disease, or will be determined a chronic disease unto itself. Those interested in chronic disease prevention and management need to follow the research to understand better the role they will play with this emerging situation. Long-term studies and longitudinal surveillance will help clarify these issues, and there is much research to be done. The duty of the public health community is to help ensure that the most important issues from the perspectives of patients, providers, health care, and public health systems are addressed; that potential solutions are developed and tested; and that eventual solutions are delivered where they are needed most.

As the US enters the next phase of pandemic response, the work of National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) of the Centers for Disease Control and Prevention is evolving to address health inequities and drive toward health equity with a multipronged approach. This approach includes enhanced access to data at the local level, a focus on SDoH including a shift in the Notice of Funding Opportunity process that emphasizes a health equity lens, and an expansion of partnerships and communications.

Placing data in the hands of communities is critical for local coalitions to determine their burden of chronic disease and COVID-19, their access to resources, and the best policies and practices to implement. Data will be useful for local public health, governments, and health care systems, but can also help human services, planning, and economic development organizations. An initial step is making available data from the PLACES Project (26), which provides data on 27 chronic disease measures at the census tract level, allowing communities to understand their own chronic disease burden. In addition, modules on SDoH are in development to enhance NCCDPHP data surveillance systems. This will increase the ability to overlay chronic disease data and SDoH data at the community level. The need is also a great for core SDoH measures that allow comparisons of related outcomes across communities. NCCDPHP can augment this effort by contributing to and amplifying the SDoH measures identified for Healthy People 2030 (27).

NCCDPHP is focusing on supporting and stimulating SDoH efforts by concentrating on 5 major areas: built environment, social connectedness, food and nutrition security, tobacco policies, and connections to clinical care. For example, SDoH are the foci of recent Notices of Funding Opportunities (available at https://www.grants.gov). NCCDPHP supports multisector partnerships in numerous funding announcements and launched a joint effort with the Association of State and Territorial Health Officials and the National Association of County and City Health Officials to identify best practices in multisector collaboration to address SDoH (28). Evidence will help build a standard for success to support local coalitions in their work. States and local communities are sites of innovation, and promoting lessons learned can help build broader efforts. To address urgent needs and facilitate change, NCCDPHP must link with other sectors outside of public health and health care. The work to evaluate these efforts and determine the most effective strategies to address SDoH, therefore, will be integrated fully into NCCDPHP.

An expansion of the Racial and Ethnic Approaches to Community Health (REACH) Program (29) and other programs that address health inequities will help to target resources where they are needed most. REACH and a recently released investment in community health workers (30) demonstrate NCCDPHP’s commitment to connecting with populations that are disproportionately affected by chronic disease at the local level. These efforts are aimed at addressing the ramifications of COVID-19 while also amplifying chronic disease prevention efforts. NCCDPHP also intends to enhance the use of a health equity lens, among other approaches, to determine the best use of resources and to help assess outcomes in all programmatic activities.

Finally, communication about the impact of COVID-19 on chronic disease, returning to care, and the extent of health inequities is critical to building trust. Efforts under way include a television and digital media campaign aiming to encourage those with chronic disease to return safely to care (31). In addition to expanding work with partner organizations, both external and internal to government, NCCDPHP will embrace new ways of garnering input from affected communities. Successes and failures experienced by communities during the pandemic will continue to be of the utmost importance to NCCDPHP. In addition, important insights gained from working closely with affected communities will help NCCDPHP continually refine its national chronic disease prevention and control goals and objectives. Activities related to SDoH and health equity, data, and communication will address difficult questions now and into the future. These efforts can only be successful with collaboration and partnerships across multiple sectors.

The impact of SARS-CoV-2, the virus that causes COVID-19, on people with or at risk for chronic disease cannot be overstated. COVID-19 has impeded chronic disease prevention and disrupted disease management. The problems and solutions outlined here are critically important to help those committed to chronic disease prevention and intervention to identify ways forward.

NCCDPHP is adjusting, preparing, and implementing multiple strategies to address the future. Although the work will be challenging, opportunities abound. NCCDPHP is committed to working with the health care community and a variety of partners at federal, state, and local levels to help address the realities of the post-COVID era.

The authors have no conflicts of interest to report. No copyrighted materials were used in the preparation of this essay.

Corresponding Author: Karen A. Hacker, MD, MPH, National Center for Chronic Disease Prevention and Health Promotion, 4770 Buford Highway NE, Atlanta, GA 30341. Telephone: 404-632-5062. Email: [email protected] .

Author Affiliations: 1 National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.

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• Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity. Racial and ethnic approaches to community health. Updated October 16, 2020. https://www.cdc.gov/nccdphp/dnpao/state-local-programs/reach/index.htm. Accessed April 8, 2021.
• Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. Community health workers for COVID response and resilient communities (CCR) CDC-RFA-DP21-2109. Updated April 28, 2021. https://www.cdc.gov/chronicdisease/programs-impact/nofo/covid-response.htm. Accessed April 29, 2021.
• The National Association of Chronic Disease Directors. Your health beyond COVID-19 matters! https://yourhealthbeyondcovid.org. Accessed April 29, 2021.

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions.

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How is COVID-19 affecting student learning?

Subscribe to the brown center on education policy newsletter, initial findings from fall 2020, megan kuhfeld , megan kuhfeld senior research scientist - nwea @megankuhfeld jim soland , jim soland assistant professor, school of education and human development - university of virginia, affiliated research fellow - nwea @jsoland beth tarasawa , bt beth tarasawa executive vice president of research - nwea @bethtarasawa angela johnson , aj angela johnson research scientist - nwea erik ruzek , and er erik ruzek research assistant professor, curry school of education - university of virginia karyn lewis karyn lewis director, center for school and student progress - nwea @karynlew.

December 3, 2020

The COVID-19 pandemic has introduced uncertainty into major aspects of national and global society, including for schools. For example, there is uncertainty about how school closures last spring impacted student achievement, as well as how the rapid conversion of most instruction to an online platform this academic year will continue to affect achievement. Without data on how the virus impacts student learning, making informed decisions about whether and when to return to in-person instruction remains difficult. Even now, education leaders must grapple with seemingly impossible choices that balance health risks associated with in-person learning against the educational needs of children, which may be better served when kids are in their physical schools.

Amidst all this uncertainty, there is growing consensus that school closures in spring 2020 likely had negative effects on student learning. For example, in an earlier post for this blog , we presented our research forecasting the possible impact of school closures on achievement. Based on historical learning trends and prior research on how out-of-school-time affects learning, we estimated that students would potentially begin fall 2020 with roughly 70% of the learning gains in reading relative to a typical school year. In mathematics, students were predicted to show even smaller learning gains from the previous year, returning with less than 50% of typical gains. While these and other similar forecasts presented a grim portrait of the challenges facing students and educators this fall, they were nonetheless projections. The question remained: What would learning trends in actual data from the 2020-21 school year really look like?

With fall 2020 data now in hand , we can move beyond forecasting and begin to describe what did happen. While the closures last spring left most schools without assessment data from that time, thousands of schools began testing this fall, making it possible to compare learning gains in a typical, pre-COVID-19 year to those same gains during the COVID-19 pandemic. Using data from nearly 4.4 million students in grades 3-8 who took MAP ® Growth™ reading and math assessments in fall 2020, we examined two primary research questions:

• How did students perform in fall 2020 relative to a typical school year (specifically, fall 2019)?
• Have students made learning gains since schools physically closed in March 2020?

To answer these questions, we compared students’ academic achievement and growth during the COVID-19 pandemic to the achievement and growth patterns observed in 2019. We report student achievement as a percentile rank, which is a normative measure of a student’s achievement in a given grade/subject relative to the MAP Growth national norms (reflecting pre-COVID-19 achievement levels).

To make sure the students who took the tests before and after COVID-19 school closures were demographically similar, all analyses were limited to a sample of 8,000 schools that tested students in both fall 2019 and fall 2020. Compared to all public schools in the nation, schools in the sample had slightly larger total enrollment, a lower percentage of low-income students, and a higher percentage of white students. Since our sample includes both in-person and remote testers in fall 2020, we conducted an initial comparability study of remote and in-person testing in fall 2020. We found consistent psychometric characteristics and trends in test scores for remote and in-person tests for students in grades 3-8, but caution that remote testing conditions may be qualitatively different for K-2 students. For more details on the sample and methodology, please see the technical report accompanying this study.

In some cases, our results tell a more optimistic story than what we feared. In others, the results are as deeply concerning as we expected based on our projections.

Question 1: How did students perform in fall 2020 relative to a typical school year?

When comparing students’ median percentile rank for fall 2020 to those for fall 2019, there is good news to share: Students in grades 3-8 performed similarly in reading to same-grade students in fall 2019. While the reason for the stability of these achievement results cannot be easily pinned down, possible explanations are that students read more on their own, and parents are better equipped to support learning in reading compared to other subjects that require more formal instruction.

The news in math, however, is more worrying. The figure below shows the median percentile rank in math by grade level in fall 2019 and fall 2020. As the figure indicates, the math achievement of students in 2020 was about 5 to 10 percentile points lower compared to same-grade students the prior year.

Figure 1: MAP Growth Percentiles in Math by Grade Level in Fall 2019 and Fall 2020

Source: Author calculations with MAP Growth data. Notes: Each bar represents the median percentile rank in a given grade/term.

Question 2: Have students made learning gains since schools physically closed, and how do these gains compare to gains in a more typical year?

To answer this question, we examined learning gains/losses between winter 2020 (January through early March) and fall 2020 relative to those same gains in a pre-COVID-19 period (between winter 2019 and fall 2019). We did not examine spring-to-fall changes because so few students tested in spring 2020 (after the pandemic began). In almost all grades, the majority of students made some learning gains in both reading and math since the COVID-19 pandemic started, though gains were smaller in math in 2020 relative to the gains students in the same grades made in the winter 2019-fall 2019 period.

Figure 2 shows the distribution of change in reading scores by grade for the winter 2020 to fall 2020 period (light blue) as compared to same-grade students in the pre-pandemic span of winter 2019 to fall 2019 (dark blue). The 2019 and 2020 distributions largely overlapped, suggesting similar amounts of within-student change from one grade to the next.

Figure 2: Distribution of Within-student Change from Winter 2019-Fall 2019 vs Winter 2020-Fall 2020 in Reading

Source: Author calculations with MAP Growth data. Notes: The dashed line represents zero growth (e.g., winter and fall test scores were equivalent). A positive value indicates that a student scored higher in the fall than their prior winter score; a negative value indicates a student scored lower in the fall than their prior winter score.

Meanwhile, Figure 3 shows the distribution of change for students in different grade levels for the winter 2020 to fall 2020 period in math. In contrast to reading, these results show a downward shift: A smaller proportion of students demonstrated positive math growth in the 2020 period than in the 2019 period for all grades. For example, 79% of students switching from 3 rd to 4 th grade made academic gains between winter 2019 and fall 2019, relative to 57% of students in the same grade range in 2020.

Figure 3: Distribution of Within-student Change from Winter 2019-Fall 2019 vs. Winter 2020-Fall 2020 in Math

It was widely speculated that the COVID-19 pandemic would lead to very unequal opportunities for learning depending on whether students had access to technology and parental support during the school closures, which would result in greater heterogeneity in terms of learning gains/losses in 2020. Notably, however, we do not see evidence that within-student change is more spread out this year relative to the pre-pandemic 2019 distribution.

The long-term effects of COVID-19 are still unknown

In some ways, our findings show an optimistic picture: In reading, on average, the achievement percentiles of students in fall 2020 were similar to those of same-grade students in fall 2019, and in almost all grades, most students made some learning gains since the COVID-19 pandemic started. In math, however, the results tell a less rosy story: Student achievement was lower than the pre-COVID-19 performance by same-grade students in fall 2019, and students showed lower growth in math across grades 3 to 8 relative to peers in the previous, more typical year. Schools will need clear local data to understand if these national trends are reflective of their students. Additional resources and supports should be deployed in math specifically to get students back on track.

In this study, we limited our analyses to a consistent set of schools between fall 2019 and fall 2020. However, approximately one in four students who tested within these schools in fall 2019 are no longer in our sample in fall 2020. This is a sizeable increase from the 15% attrition from fall 2018 to fall 2019. One possible explanation is that some students lacked reliable technology. A second is that they disengaged from school due to economic, health, or other factors. More coordinated efforts are required to establish communication with students who are not attending school or disengaging from instruction to get them back on track, especially our most vulnerable students.

Finally, we are only scratching the surface in quantifying the short-term and long-term academic and non-academic impacts of COVID-19. While more students are back in schools now and educators have more experience with remote instruction than when the pandemic forced schools to close in spring 2020, the collective shock we are experiencing is ongoing. We will continue to examine students’ academic progress throughout the 2020-21 school year to understand how recovery and growth unfold amid an ongoing pandemic.

Thankfully, we know much more about the impact the pandemic has had on student learning than we did even a few months ago. However, that knowledge makes clear that there is work to be done to help many students get back on track in math, and that the long-term ramifications of COVID-19 for student learning—especially among underserved communities—remain unknown.

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Home — Essay Samples — Nursing & Health — Covid 19 — My Experience during the COVID-19 Pandemic

My Experience During The Covid-19 Pandemic

• Categories: Covid 19

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Words: 440 |

Published: Jan 30, 2024

Words: 440 | Page: 1 | 3 min read

Table of contents

Introduction, physical impact, mental and emotional impact, social impact.

• World Health Organization. (2021). Coronavirus (COVID-19) Dashboard. https://covid19.who.int/
• American Psychiatric Association. (2020). Mental health and COVID-19. https://www.psychiatry.org/news-room/apa-blogs/apa-blog/2020/03/mental-health-and-covid-19
• The New York Times. (2020). Coping with Coronavirus Anxiety. https://www.nytimes.com/2020/03/11/well/family/coronavirus-anxiety-mental-health.html

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Essay on COVID-19 Pandemic

As a result of the COVID-19 (Coronavirus) outbreak, daily life has been negatively affected, impacting the worldwide economy. Thousands of individuals have been sickened or died as a result of the outbreak of this disease. When you have the flu or a viral infection, the most common symptoms include fever, cold, coughing up bone fragments, and difficulty breathing, which may progress to pneumonia. It’s important to take major steps like keeping a strict cleaning routine, keeping social distance, and wearing masks, among other things. This virus’s geographic spread is accelerating (Daniel Pg 93). Governments restricted public meetings during the start of the pandemic to prevent the disease from spreading and breaking the exponential distribution curve. In order to avoid the damage caused by this extremely contagious disease, several countries quarantined their citizens. However, this scenario had drastically altered with the discovery of the vaccinations. The research aims to investigate the effect of the Covid-19 epidemic and its impact on the population’s well-being.

There is growing interest in the relationship between social determinants of health and health outcomes. Still, many health care providers and academics have been hesitant to recognize racism as a contributing factor to racial health disparities. Only a few research have examined the health effects of institutional racism, with the majority focusing on interpersonal racial and ethnic prejudice Ciotti et al., Pg 370. The latter comprises historically and culturally connected institutions that are interconnected. Prejudice is being practiced in a variety of contexts as a result of the COVID-19 outbreak. In some ways, the outbreak has exposed pre-existing bias and inequity.

Thousands of businesses are in danger of failure. Around 2.3 billion of the world’s 3.3 billion employees are out of work. These workers are especially susceptible since they lack access to social security and adequate health care, and they’ve also given up ownership of productive assets, which makes them highly vulnerable. Many individuals lose their employment as a result of lockdowns, leaving them unable to support their families. People strapped for cash are often forced to reduce their caloric intake while also eating less nutritiously (Fraser et al, Pg 3). The epidemic has had an impact on the whole food chain, revealing vulnerabilities that were previously hidden. Border closures, trade restrictions, and confinement measures have limited farmer access to markets, while agricultural workers have not gathered crops. As a result, the local and global food supply chain has been disrupted, and people now have less access to healthy foods. As a consequence of the epidemic, many individuals have lost their employment, and millions more are now in danger. When breadwinners lose their jobs, become sick, or die, the food and nutrition of millions of people are endangered. Particularly severely hit are the world’s poorest small farmers and indigenous peoples.

Infectious illness outbreaks and epidemics have become worldwide threats due to globalization, urbanization, and environmental change. In developed countries like Europe and North America, surveillance and health systems monitor and manage the spread of infectious illnesses in real-time. Both low- and high-income countries need to improve their public health capacities (Omer et al., Pg 1767). These improvements should be financed using a mix of national and foreign donor money. In order to speed up research and reaction for new illnesses with pandemic potential, a global collaborative effort including governments and commercial companies has been proposed. When working on a vaccine-like COVID-19, cooperation is critical.

The epidemic has had an impact on the whole food chain, revealing vulnerabilities that were previously hidden. Border closures, trade restrictions, and confinement measures have limited farmer access to markets, while agricultural workers have been unable to gather crops. As a result, the local and global food supply chain has been disrupted, and people now have less access to healthy foods (Daniel et al.,Pg 95) . As a consequence of the epidemic, many individuals have lost their employment, and millions more are now in danger. When breadwinners lose their jobs, the food and nutrition of millions of people are endangered. Particularly severely hit are the world’s poorest small farmers and indigenous peoples.

While helping to feed the world’s population, millions of paid and unpaid agricultural laborers suffer from high levels of poverty, hunger, and bad health, as well as a lack of safety and labor safeguards, as well as other kinds of abuse at work. Poor people, who have no recourse to social assistance, must work longer and harder, sometimes in hazardous occupations, endangering their families in the process (Daniel Pg 96). When faced with a lack of income, people may turn to hazardous financial activities, including asset liquidation, predatory lending, or child labor, to make ends meet. Because of the dangers they encounter while traveling, working, and living abroad; migrant agricultural laborers are especially vulnerable. They also have a difficult time taking advantage of government assistance programs.

The pandemic also has a significant impact on education. Although many educational institutions across the globe have already made the switch to online learning, the extent to which technology is utilized to improve the quality of distance or online learning varies. This level is dependent on several variables, including the different parties engaged in the execution of this learning format and the incorporation of technology into educational institutions before the time of school closure caused by the COVID-19 pandemic. For many years, researchers from all around the globe have worked to determine what variables contribute to effective technology integration in the classroom Ciotti et al., Pg 371. The amount of technology usage and the quality of learning when moving from a classroom to a distant or online format are presumed to be influenced by the same set of variables. Findings from previous research, which sought to determine what affects educational systems ability to integrate technology into teaching, suggest understanding how teachers, students, and technology interact positively in order to achieve positive results in the integration of teaching technology (Honey et al., 2000). Teachers’ views on teaching may affect the chances of successfully incorporating technology into the classroom and making it a part of the learning process.

In conclusion, indeed, Covid 19 pandemic have affected the well being of the people in a significant manner. The economy operation across the globe have been destabilized as most of the people have been rendered jobless while the job operation has been stopped. As most of the people have been rendered jobless the living conditions of the people have also been significantly affected. Besides, the education sector has also been affected as most of the learning institutions prefer the use of online learning which is not effective as compared to the traditional method. With the invention of the vaccines, most of the developed countries have been noted to stabilize slowly, while the developing countries have not been able to vaccinate most of its citizens. However, despite the challenge caused by the pandemic, organizations have been able to adapt the new mode of online trading to be promoted.

Ciotti, Marco, et al. “The COVID-19 pandemic.”  Critical reviews in clinical laboratory sciences  57.6 (2020): 365-388.

Daniel, John. “Education and the COVID-19 pandemic.”  Prospects  49.1 (2020): 91-96.

Fraser, Nicholas, et al. “Preprinting the COVID-19 pandemic.”  BioRxiv  (2021): 2020-05.

Omer, Saad B., Preeti Malani, and Carlos Del Rio. “The COVID-19 pandemic in the US: a clinical update.”  Jama  323.18 (2020): 1767-1768.

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• Patient Care & Health Information
• Diseases & Conditions
• Coronavirus disease 2019 (COVID-19)

COVID-19, also called coronavirus disease 2019, is an illness caused by a virus. The virus is called severe acute respiratory syndrome coronavirus 2, or more commonly, SARS-CoV-2. It started spreading at the end of 2019 and became a pandemic disease in 2020.

• Coronavirus

Coronaviruses are a family of viruses. These viruses cause illnesses such as the common cold, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and coronavirus disease 2019 (COVID-19).

The virus that causes COVID-19 spreads most commonly through the air in tiny droplets of fluid between people in close contact. Many people with COVID-19 have no symptoms or mild illness. But for older adults and people with certain medical conditions, COVID-19 can lead to the need for care in the hospital or death.

Staying up to date on your COVID-19 vaccine helps prevent serious illness, the need for hospital care due to COVID-19 and death from COVID-19 . Other ways that may help prevent the spread of this coronavirus includes good indoor air flow, physical distancing, wearing a mask in the right setting and good hygiene.

Medicine can limit the seriousness of the viral infection. Most people recover without long-term effects, but some people have symptoms that continue for months.

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Typical COVID-19 symptoms often show up 2 to 14 days after contact with the virus.

Symptoms can include:

• Shortness of breath.
• Loss of taste or smell.
• Extreme tiredness, called fatigue.
• Digestive symptoms such as upset stomach, vomiting or loose stools, called diarrhea.
• Pain, such as headaches and body or muscle aches.
• Fever or chills.
• Cold-like symptoms such as congestion, runny nose or sore throat.

People may only have a few symptoms or none. People who have no symptoms but test positive for COVID-19 are called asymptomatic. For example, many children who test positive don't have symptoms of COVID-19 illness. People who go on to have symptoms are considered presymptomatic. Both groups can still spread COVID-19 to others.

Some people may have symptoms that get worse about 7 to 14 days after symptoms start.

Most people with COVID-19 have mild to moderate symptoms. But COVID-19 can cause serious medical complications and lead to death. Older adults or people who already have medical conditions are at greater risk of serious illness.

COVID-19 may be a mild, moderate, severe or critical illness.

• In broad terms, mild COVID-19 doesn't affect the ability of the lungs to get oxygen to the body.
• In moderate COVID-19 illness, the lungs also work properly but there are signs that the infection is deep in the lungs.
• Severe COVID-19 means that the lungs don't work correctly, and the person needs oxygen and other medical help in the hospital.
• Critical COVID-19 illness means the lung and breathing system, called the respiratory system, has failed and there is damage throughout the body.

Rarely, people who catch the coronavirus can develop a group of symptoms linked to inflamed organs or tissues. The illness is called multisystem inflammatory syndrome. When children have this illness, it is called multisystem inflammatory syndrome in children, shortened to MIS -C. In adults, the name is MIS -A.

When to see a doctor

Contact a healthcare professional if you test positive for COVID-19 . If you have symptoms and need to test for COVID-19 , or you've been exposed to someone with COVID-19 , a healthcare professional can help.

People who are at high risk of serious illness may get medicine to block the spread of the COVID-19 virus in the body. Or your healthcare team may plan regular checks to monitor your health.

Get emergency help right away for any of these symptoms:

• Can't catch your breath or have problems breathing.
• Skin, lips or nail beds that are pale, gray or blue.
• New confusion.
• Trouble staying awake or waking up.
• Chest pain or pressure that is constant.

This list doesn't include every emergency symptom. If you or a person you're taking care of has symptoms that worry you, get help. Let the healthcare team know about a positive test for COVID-19 or symptoms of the illness.

More Information

• COVID-19 vs. flu: Similarities and differences
• COVID-19, cold, allergies and the flu
• Unusual symptoms of coronavirus

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COVID-19 is caused by infection with the severe acute respiratory syndrome coronavirus 2, also called SARS-CoV-2.

The coronavirus spreads mainly from person to person, even from someone who is infected but has no symptoms. When people with COVID-19 cough, sneeze, breathe, sing or talk, their breath may be infected with the COVID-19 virus.

The coronavirus carried by a person's breath can land directly on the face of a nearby person, after a sneeze or cough, for example. The droplets or particles the infected person breathes out could possibly be breathed in by other people if they are close together or in areas with low air flow. And a person may touch a surface that has respiratory droplets and then touch their face with hands that have the coronavirus on them.

It's possible to get COVID-19 more than once.

• Over time, the body's defense against the COVID-19 virus can fade.
• A person may be exposed to so much of the virus that it breaks through their immune defense.
• As a virus infects a group of people, the virus copies itself. During this process, the genetic code can randomly change in each copy. The changes are called mutations. If the coronavirus that causes COVID-19 changes in ways that make previous infections or vaccination less effective at preventing infection, people can get sick again.

The virus that causes COVID-19 can infect some pets. Cats, dogs, hamsters and ferrets have caught this coronavirus and had symptoms. It's rare for a person to get COVID-19 from a pet.

Risk factors

The main risk factors for COVID-19 are:

• If someone you live with has COVID-19 .
• If you spend time in places with poor air flow and a higher number of people when the virus is spreading.
• If you spend more than 30 minutes in close contact with someone who has COVID-19 .

Many factors affect your risk of catching the virus that causes COVID-19 . How long you are in contact, if the space has good air flow and your activities all affect the risk. Also, if you or others wear masks, if someone has COVID-19 symptoms and how close you are affects your risk. Close contact includes sitting and talking next to one another, for example, or sharing a car or bedroom.

It seems to be rare for people to catch the virus that causes COVID-19 from an infected surface. While the virus is shed in waste, called stool, COVID-19 infection from places such as a public bathroom is not common.

Serious COVID-19 illness risk factors

Some people are at a higher risk of serious COVID-19 illness than others. This includes people age 65 and older as well as babies younger than 6 months. Those age groups have the highest risk of needing hospital care for COVID-19 .

Not every risk factor for serious COVID-19 illness is known. People of all ages who have no other medical issues have needed hospital care for COVID-19 .

Known risk factors for serious illness include people who have not gotten a COVID-19 vaccine. Serious illness also is a higher risk for people who have:

• Sickle cell disease or thalassemia.
• Serious heart diseases and possibly high blood pressure.
• Chronic kidney, liver or lung diseases.

People with dementia or Alzheimer's also are at higher risk, as are people with brain and nervous system conditions such as stroke. Smoking increases the risk of serious COVID-19 illness. And people with a body mass index in the overweight category or obese category may have a higher risk as well.

Other medical conditions that may raise the risk of serious illness from COVID-19 include:

• Cancer or a history of cancer.
• Type 1 or type 2 diabetes.
• Weakened immune system from solid organ transplants or bone marrow transplants, some medicines, or HIV .

This list is not complete. Factors linked to a health issue may raise the risk of serious COVID-19 illness too. Examples are a medical condition where people live in a group home, or lack of access to medical care. Also, people with more than one health issue, or people of older age who also have health issues have a higher chance of severe illness.

Related information

• COVID-19: Who's at higher risk of serious symptoms? - Related information COVID-19: Who's at higher risk of serious symptoms?

Complications

Complications of COVID-19 include long-term loss of taste and smell, skin rashes, and sores. The illness can cause trouble breathing or pneumonia. Medical issues a person already manages may get worse.

Complications of severe COVID-19 illness can include:

• Acute respiratory distress syndrome, when the body's organs do not get enough oxygen.
• Shock caused by the infection or heart problems.
• Overreaction of the immune system, called the inflammatory response.
• Blood clots.
• Kidney injury.

Post-COVID-19 syndrome

After a COVID-19 infection, some people report that symptoms continue for months, or they develop new symptoms. This syndrome has often been called long COVID, or post- COVID-19 . You might hear it called long haul COVID-19 , post-COVID conditions or PASC. That's short for post-acute sequelae of SARS -CoV-2.

Other infections, such as the flu and polio, can lead to long-term illness. But the virus that causes COVID-19 has only been studied since it began to spread in 2019. So, research into the specific effects of long-term COVID-19 symptoms continues.

Researchers do think that post- COVID-19 syndrome can happen after an illness of any severity.

Getting a COVID-19 vaccine may help prevent post- COVID-19 syndrome.

• Long-term effects of COVID-19

The Centers for Disease Control and Prevention (CDC) recommends a COVID-19 vaccine for everyone age 6 months and older. The COVID-19 vaccine can lower the risk of death or serious illness caused by COVID-19. It lowers your risk and lowers the risk that you may spread it to people around you.

The COVID-19 vaccines available in the United States are:

2023-2024 Pfizer-BioNTech COVID-19 vaccine. This vaccine is available for people age 6 months and older.

Among people with a typical immune system:

• Children age 6 months up to age 4 years are up to date after three doses of a Pfizer-BioNTech COVID-19 vaccine.
• People age 5 and older are up to date after one Pfizer-BioNTech COVID-19 vaccine.
• For people who have not had a 2023-2024 COVID-19 vaccination, the CDC recommends getting an additional shot of that updated vaccine.

2023-2024 Moderna COVID-19 vaccine. This vaccine is available for people age 6 months and older.

• Children ages 6 months up to age 4 are up to date if they've had two doses of a Moderna COVID-19 vaccine.
• People age 5 and older are up to date with one Moderna COVID-19 vaccine.

2023-2024 Novavax COVID-19 vaccine. This vaccine is available for people age 12 years and older.

• People age 12 years and older are up to date if they've had two doses of a Novavax COVID-19 vaccine.

In general, people age 5 and older with typical immune systems can get any vaccine approved or authorized for their age. They usually don't need to get the same vaccine each time.

Some people should get all their vaccine doses from the same vaccine maker, including:

• Children ages 6 months to 4 years.
• People age 5 years and older with weakened immune systems.
• People age 12 and older who have had one shot of the Novavax vaccine should get the second Novavax shot in the two-dose series.

Talk to your healthcare professional if you have any questions about the vaccines for you or your child. Your healthcare team can help you if:

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Your healthcare team may suggest added doses of COVID-19 vaccine if you have a moderately or seriously weakened immune system. The FDA has also authorized the monoclonal antibody pemivibart (Pemgarda) to prevent COVID-19 in some people with weakened immune systems.

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In addition to vaccination, there are other ways to stop the spread of the virus that causes COVID-19 .

If you are at a higher risk of serious illness, talk to your healthcare professional about how best to protect yourself. Know what to do if you get sick so you can quickly start treatment.

If you feel ill or have COVID-19 , stay home and away from others, including pets, if possible. Avoid sharing household items such as dishes or towels if you're sick.

In general, make it a habit to:

• Test for COVID-19 . If you have symptoms of COVID-19 test for the infection. Or test five days after you came in contact with the virus.
• Help from afar. Avoid close contact with anyone who is sick or has symptoms, if possible.
• Wash your hands. Wash your hands well and often with soap and water for at least 20 seconds. Or use an alcohol-based hand sanitizer with at least 60% alcohol.
• Cover your coughs and sneezes. Cough or sneeze into a tissue or your elbow. Then wash your hands.
• Clean and disinfect high-touch surfaces. For example, clean doorknobs, light switches, electronics and counters regularly.

Try to spread out in crowded public areas, especially in places with poor airflow. This is important if you have a higher risk of serious illness.

The CDC recommends that people wear a mask in indoor public spaces if you're in an area with a high number of people with COVID-19 in the hospital. They suggest wearing the most protective mask possible that you'll wear regularly, that fits well and is comfortable.

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Masking is especially important if you or a companion have a high risk of serious illness from COVID-19 .

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• Goldman L, et al., eds. COVID-19: Epidemiology, clinical manifestations, diagnosis, community prevention, and prognosis. In: Goldman-Cecil Medicine. 27th ed. Elsevier; 2024. https://www.clinicalkey.com. Accessed Dec. 17, 2023.
• Coronavirus disease 2019 (COVID-19) treatment guidelines. National Institutes of Health. https://www.covid19treatmentguidelines.nih.gov/. Accessed Dec. 18, 2023.
• AskMayoExpert. COVID-19: Testing, symptoms. Mayo Clinic; Nov. 2, 2023.
• Symptoms of COVID-19. Centers for Disease Control and Preventions. https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html. Accessed Dec. 20, 2023.
• AskMayoExpert. COVID-19: Outpatient management. Mayo Clinic; Oct. 10, 2023.
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• People with certain medical conditions. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html. Accessed Jan. 10, 2024.
• Factors that affect your risk of getting very sick from COVID-19. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html. Accessed Jan. 10, 2024.
• Regan JJ, et al. Use of Updated COVID-19 Vaccines 2023-2024 Formula for Persons Aged ≥6 Months: Recommendations of the Advisory Committee on Immunization Practices—United States, September 2023. MMWR. Morbidity and Mortality Weekly Report 2023; 72:1140–1146. DOI: http://dx.doi.org/10.15585/mmwr.mm7242e1.
• Long COVID or post-COVID conditions. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html. Accessed Jan. 10, 2024.
• Stay up to date with your vaccines. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html. Accessed Jan. 10, 2024.
• Interim clinical considerations for use of COVID-19 vaccines currently approved or authorized in the United States. Centers for Disease Control and Prevention. https://www.cdc.gov/vaccines/covid-19/clinical-considerations/covid-19-vaccines-us.html#CoV-19-vaccination. Accessed Jan. 10, 2024.
• Use and care of masks. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html. Accessed Jan. 10, 2024.
• How to protect yourself and others. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html. Accessed Jan. 10, 2024.
• People who are immunocompromised. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-who-are-immunocompromised.html. Accessed Jan. 10, 2024.
• Masking during travel. Centers for Disease Control and Prevention. https://wwwnc.cdc.gov/travel/page/masks. Accessed Jan. 10, 2024.
• AskMayoExpert. COVID-19: Testing. Mayo Clinic. 2023.
• COVID-19 test basics. U.S. Food and Drug Administration. https://www.fda.gov/consumers/consumer-updates/covid-19-test-basics. Accessed Jan. 11, 2024.
• At-home COVID-19 antigen tests — Take steps to reduce your risk of false negative results: FDA safety communication. U.S. Food and Drug Administration. https://www.fda.gov/medical-devices/safety-communications/home-covid-19-antigen-tests-take-steps-reduce-your-risk-false-negative-results-fda-safety. Accessed Jan. 11, 2024.
• Interim clinical considerations for COVID-19 treatment in outpatients. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/outpatient-treatment-overview.html. Accessed Jan. 11, 2024.
• Know your treatment options for COVID-19. U.S. Food and Drug Administration. https://www.fda.gov/consumers/consumer-updates/know-your-treatment-options-covid-19. Accessed Jan. 11, 2024.
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• Emergency use authorizations for drugs and non-vaccine biological products. U.S. Food and Drug Association. https://www.fda.gov/drugs/emergency-preparedness-drugs/emergency-use-authorizations-drugs-and-non-vaccine-biological-products. Accessed March 25, 2024.
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• Open access
• Published: 11 April 2023

Effects of the COVID-19 pandemic on mental health, anxiety, and depression

• Ida Kupcova 1 ,
• Lubos Danisovic 1 ,
• Martin Klein 2 &
• Stefan Harsanyi 1  

BMC Psychology volume  11 , Article number:  108 ( 2023 ) Cite this article

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The COVID-19 pandemic affected everyone around the globe. Depending on the country, there have been different restrictive epidemiologic measures and also different long-term repercussions. Morbidity and mortality of COVID-19 affected the mental state of every human being. However, social separation and isolation due to the restrictive measures considerably increased this impact. According to the World Health Organization (WHO), anxiety and depression prevalence increased by 25% globally. In this study, we aimed to examine the lasting effects of the COVID-19 pandemic on the general population.

A cross-sectional study using an anonymous online-based 45-question online survey was conducted at Comenius University in Bratislava. The questionnaire comprised five general questions and two assessment tools the Zung Self-Rating Anxiety Scale (SAS) and the Zung Self-Rating Depression Scale (SDS). The results of the Self-Rating Scales were statistically examined in association with sex, age, and level of education.

A total of 205 anonymous subjects participated in this study, and no responses were excluded. In the study group, 78 (38.05%) participants were male, and 127 (61.69%) were female. A higher tendency to anxiety was exhibited by female participants (p = 0.012) and the age group under 30 years of age (p = 0.042). The level of education has been identified as a significant factor for changes in mental state, as participants with higher levels of education tended to be in a worse mental state (p = 0.006).

Conclusions

Summarizing two years of the COVID-19 pandemic, the mental state of people with higher levels of education tended to feel worse, while females and younger adults felt more anxiety.

Peer Review reports

Introduction

The first mention of the novel coronavirus came in 2019, when this variant was discovered in the city of Wuhan, China, and became the first ever documented coronavirus pandemic [ 1 , 2 , 3 ]. At this time there was only a sliver of fear rising all over the globe. However, in March 2020, after the declaration of a global pandemic by the World Health Organization (WHO), the situation changed dramatically [ 4 ]. Answering this, yet an unknown threat thrust many countries into a psycho-socio-economic whirlwind [ 5 , 6 ]. Various measures taken by governments to control the spread of the virus presented the worldwide population with a series of new challenges to which it had to adjust [ 7 , 8 ]. Lockdowns, closed schools, losing employment or businesses, and rising deaths not only in nursing homes came to be a new reality [ 9 , 10 , 11 ]. Lack of scientific information on the novel coronavirus and its effects on the human body, its fast spread, the absence of effective causal treatment, and the restrictions which harmed people´s social life, financial situation and other areas of everyday life lead to long-term living conditions with increased stress levels and low predictability over which people had little control [ 12 ].

Risks of changes in the mental state of the population came mainly from external risk factors, including prolonged lockdowns, social isolation, inadequate or misinterpreted information, loss of income, and acute relationship with the rising death toll. According to the World Health Organization (WHO), since the outbreak of the COVID-19 pandemic, anxiety and depression prevalence increased by 25% globally [ 13 ]. Unemployment specifically has been proven to be also a predictor of suicidal behavior [ 14 , 15 , 16 , 17 , 18 ]. These risk factors then interact with individual psychological factors leading to psychopathologies such as threat appraisal, attentional bias to threat stimuli over neutral stimuli, avoidance, fear learning, impaired safety learning, impaired fear extinction due to habituation, intolerance of uncertainty, and psychological inflexibility. The threat responses are mediated by the limbic system and insula and mitigated by the pre-frontal cortex, which has also been reported in neuroimaging studies, with reduced insula thickness corresponding to more severe anxiety and amygdala volume correlated to anhedonia as a symptom of depression [ 19 , 20 , 21 , 22 , 23 ]. Speaking in psychological terms, the pandemic disturbed our core belief, that we are safe in our communities, cities, countries, or even the world. The lost sense of agency and confidence regarding our future diminished the sense of worth, identity, and meaningfulness of our lives and eroded security-enhancing relationships [ 24 ].

Slovakia introduced harsh public health measures in the first wave of the pandemic, but relaxed these measures during the summer, accompanied by a failure to develop effective find, test, trace, isolate and support systems. Due to this, the country experienced a steep growth in new COVID-19 cases in September 2020, which lead to the erosion of public´s trust in the government´s management of the situation [ 25 ]. As a means to control the second wave of the pandemic, the Slovak government decided to perform nationwide antigen testing over two weekends in November 2020, which was internationally perceived as a very controversial step, moreover, it failed to prevent further lockdowns [ 26 ]. In addition, there was a sharp rise in the unemployment rate since 2020, which continued until July 2020, when it gradually eased [ 27 ]. Pre-pandemic, every 9th citizen of Slovakia suffered from a mental health disorder, according to National Statistics Office in 2017, the majority being affective and anxiety disorders. A group of authors created a web questionnaire aimed at psychiatrists, psychologists, and their patients after the first wave of the COVID-19 pandemic in Slovakia. The results showed that 86.6% of respondents perceived the pathological effect of the pandemic on their mental status, 54.1% of whom were already treated for affective or anxiety disorders [ 28 ].

In this study, we aimed to examine the lasting effects of the COVID-19 pandemic on the general population. This study aimed to assess the symptoms of anxiety and depression in the general public of Slovakia. After the end of epidemiologic restrictive measures (from March to May 2022), we introduced an anonymous online questionnaire using adapted versions of Zung Self-Rating Anxiety Scale (SAS) and Zung Self-Rating Depression Scale (SDS) [ 29 , 30 ]. We focused on the general public because only a portion of people who experience psychological distress seek professional help. We sought to establish, whether during the pandemic the population showed a tendency to adapt to the situation or whether the anxiety and depression symptoms tended to be present even after months of better epidemiologic situation, vaccine availability, and studies putting its effects under review [ 31 , 32 , 33 , 34 ].

Materials and Methods

This study utilized a voluntary and anonymous online self-administered questionnaire, where the collected data cannot be linked to a specific respondent. This study did not process any personal data. The questionnaire consisted of 45 questions. The first three were open-ended questions about participants’ sex, age (date of birth was not recorded), and education. Followed by 2 questions aimed at mental health and changes in the will to live. Further 20 and 20 questions consisted of the Zung SAS and Zung SDS, respectively. Every question in SAS and SDS is scored from 1 to 4 points on a Likert-style scale. The scoring system is introduced in Fig.  1 . Questions were presented in the Slovak language, with emphasis on maintaining test integrity, so, if possible, literal translations were made from English to Slovak. The questionnaire was created and designed in Google Forms®. Data collection was carried out from March 2022 to May 2022. The study was aimed at the general population of Slovakia in times of difficult epidemiologic and social situations due to the high prevalence and incidence of COVID-19 cases during lockdowns and social distancing measures. Because of the character of this web-based study, the optimal distribution of respondents could not be achieved.

Categories of Zung SAS and SDS scores with clinical interpretation

During the course of this study, 205 respondents answered the anonymous questionnaire in full and were included in the study. All respondents were over 18 years of age. The data was later exported from Google Forms® as an Excel spreadsheet. Coding and analysis were carried out using IBM SPSS Statistics version 26 (IBM SPSS Statistics for Windows, Version 26.0, Armonk, NY, USA). Subject groups were created based on sex, age, and education level. First, sex due to differences in emotional expression. Second, age was a risk factor due to perceived stress and fear of the disease. Last, education due to different approaches to information. In these groups four factors were studied: (1) changes in mental state; (2) affected will to live, or frequent thoughts about death; (3) result of SAS; (4) result of SDS. For SAS, no subject in the study group scored anxiety levels of “severe” or “extreme”. Similarly for SDS, no subject depression levels reached “moderate” or “severe”. Pearson’s chi-squared test(χ2) was used to analyze the association between the subject groups and studied factors. The results were considered significant if the p-value was less than 0.05.

Ethical permission was obtained from the local ethics committee (Reference number: ULBGaKG-02/2022). This study was performed in line with the principles of the Declaration of Helsinki. All methods were carried out following the institutional guidelines. Due to the anonymous design of the study and by the institutional requirements, written informed consent for participation was not required for this study.

In the study, out of 205 subjects in the study group, 127 (62%) were female and 78 (38%) were male. The average age in the study group was 35.78 years of age (range 19–71 years), with a median of 34 years. In the age group under 30 years of age were 34 (16.6%) subjects, while 162 (79%) were in the range from 31 to 49 and 9 (0.4%) were over 50 years old. 48 (23.4%) participants achieved an education level of lower or higher secondary and 157 (76.6%) finished university or higher. All answers of study participants were included in the study, nothing was excluded.

In Tables  1 and 2 , we can see the distribution of changes in mental state and will to live as stated in the questionnaire. In Table  1 we can see a disproportion in education level and mental state, where participants with higher education tended to feel worse much more than those with lower levels of education. Changes based on sex and age did not show any statistically significant results.

In Table  2 . we can see, that decreased will to live and frequent thoughts about death were only marginally present in the study group, which suggests that coping mechanisms play a huge role in adaptation to such events (e.g. the global pandemic). There is also a possibility that living in times of better epidemiologic situations makes people more likely to forget about the bad past.

Anxiety and depression levels as seen in Tables  3 and 4 were different, where female participants and the age group under 30 years of age tended to feel more anxiety than other groups. No significant changes in depression levels based on sex, age, and education were found.

Compared to the estimated global prevalence of depression in 2017 (3.44%), in 2021 it was approximately 7 times higher (25%) [ 14 ]. Our study did not prove an increase in depression, while anxiety levels and changes in the mental state did prove elevated. No significant changes in depression levels go in hand with the unaffected will to live and infrequent thoughts about death, which were important findings, that did not supplement our primary hypothesis that the fear of death caused by COVID-19 or accompanying infections would enhance personal distress and depression, leading to decreases in studied factors. These results are drawn from our limited sample size and uneven demographic distribution. Suicide ideations rose from 5% pre-pandemic to 10.81% during the pandemic [ 35 ]. In our study, 9.3% of participants experienced thoughts about death and since we did not specifically ask if they thought about suicide, our results only partially correlate with suicidal ideations. However, as these subjects exhibited only moderate levels of anxiety and mild levels of depression, the rise of suicide ideations seems unlikely. The rise in suicidal ideations seemed to be especially true for the general population with no pre-existing psychiatric conditions in the first months of the pandemic [ 36 ]. The policies implemented by countries to contain the pandemic also took a toll on the population´s mental health, as it was reported, that more stringent policies, mainly the social distancing and perceived government´s handling of the pandemic, were related to worse psychological outcomes [ 37 ]. The effects of lockdowns are far-fetched and the increases in mental health challenges, well-being, and quality of life will require a long time to be understood, as Onyeaka et al. conclude [ 10 ]. These effects are not unforeseen, as the global population suffered from life-altering changes in the structure and accessibility of education or healthcare, fluctuations in prices and food insecurity, as well as the inevitable depression of the global economy [ 38 ].

The loneliness associated with enforced social distancing leads to an increase in depression, anxiety, and posttraumatic stress in children in adolescents, with possible long-term sequelae [ 39 ]. The increase in adolescent self-injury was 27.6% during the pandemic [ 40 ]. Similar findings were described in the middle-aged and elderly population, in which both depression and anxiety prevalence rose at the beginning of the pandemic, during the pandemic, with depression persisting later in the pandemic, while the anxiety-related disorders tended to subside [ 41 ]. Medical professionals represented another specific at-risk group, with reported anxiety and depression rates of 24.94% and 24.83% respectively [ 42 ]. The dynamic of psychopathology related to the COVID-19 pandemic is not clear, with studies reporting a return to normal later in 2020, while others describe increased distress later in the pandemic [ 20 , 43 ].

Concerning the general population, authors from Spain reported that lockdowns and COVID-19 were associated with depression and anxiety [ 44 ]. In January 2022 Zhao et al., reported an elevation in hoarding behavior due to fear of COVID-19, while this process was moderated by education and income levels, however, less in the general population if compared to students [ 45 ]. Higher education levels and better access to information could improve persons’ fear of the unknown, however, this fact was not consistent with our expectations in this study, as participants with university education tended to feel worse than participants with lower education. A study on adolescents and their perceived stress in the Czech Republic concluded that girls are more affected by lockdowns. The strongest predictor was loneliness, while having someone to talk to, scored the lowest [ 46 ]. Garbóczy et al. reported elevated perceived stress levels and health anxiety in 1289 Hungarian and international students, also affected by disengagement from home and inadequate coping strategies [ 47 ]. Wathelet et al. conducted a study on French University students confined during the pandemic with alarming results of a high prevalence of mental health issues in the study group [ 48 ]. Our study indicated similar results, as participants in the age group under 30 years of age tended to feel more anxious than others.

In conclusion, we can say that this pandemic changed the lives of many. Many of us, our family members, friends, and colleagues, experienced life-altering events and complicated situations unseen for decades. Our decisions and actions fueled the progress in medicine, while they also continue to impact society on all levels. The long-term effects on adolescents are yet to be seen, while effects of pain, fear, and isolation on the general population are already presenting themselves.

The limitations of this study were numerous and as this was a web-based study, the optimal distribution of respondents could not be achieved, due to the snowball sampling strategy. The main limitation was the small sample size and uneven demographic distribution of respondents, which could impact the representativeness of the studied population and increase the margin of error. Similarly, the limited number of older participants could significantly impact the reported results, as age was an important risk factor and thus an important stressor. The questionnaire omitted the presence of COVID-19-unrelated life-changing events or stressors, and also did not account for any preexisting condition or risk factor that may have affected the outcome of the used assessment scales.

Data Availability

The datasets generated and analyzed during the current study are not publicly available due to compliance with institutional guidelines but they are available from the corresponding author (SH) on a reasonable request.

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We would like to provide our appreciation and thanks to all the respondents in this study.

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Ida Kupcova, Lubos Danisovic & Stefan Harsanyi

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IK and SH have produced the study design. All authors contributed to the manuscript writing, revising, and editing. LD and MK have done data management and extraction, SH did the data analysis. Drafting and interpretation of the manuscript were made by all authors. All authors read and approved the final manuscript.

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Kupcova, I., Danisovic, L., Klein, M. et al. Effects of the COVID-19 pandemic on mental health, anxiety, and depression. BMC Psychol 11 , 108 (2023). https://doi.org/10.1186/s40359-023-01130-5

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Long Covid may be nothing unique in the future – but its effects today are still very real

While the long-term risk from a current infection is 10 times less than it was in 2020-21, a lot of people are still suffering after getting Covid early in the pandemic

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L ong Covid is one of the most controversial topics remaining about the pandemic. Depending on who you ask, it is either a real and current threat to the health of the globe, or a relatively minor issue that we should pay little attention to in the future. It is hard to weigh in on the topic without passionate advocates taking issue with the things that you say, which is true of quite a lot of the conversations we have had over the course of the pandemic.

A recent study from Queensland has injected further discord into this already complicated space. The press release about the study says that, in a large observational study, people who had tested positive for Covid-19 when the Omicron variant was spreading were no more likely to report ongoing symptoms or serious problems in their daily life than either people who tested negative or those who tested positive for influenza. This follows similar previous work by the same team showing almost identical results. According to Dr John Gerrard, one of the authors of the paper and Queensland’s chief health officer, the findings call into question the entire conceptualisation of long Covid, arguing that it may be “time to stop using terms like ‘long Covid’” .

This has caused a number of articles arguing that long Covid is causing unnecessary fear, because of little difference between long-term symptoms caused by Covid-19 and other common viral infections.

The first issue here is that it’s hard to know what to make of the research. The results being reported are an early news release about a presentation that is going to happen at the European Congress of Clinical Microbiology and Infectious Diseases in April. In other words, we have no idea how robust this paper is, nor how useful the data may be. The fact that there are so many news stories about this unpublished, unpresented finding is itself something of a problem.

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However, the reports on these findings are consistent with a range of other papers that have been published on Covid-19 in the last few years. We know that the risk of long Covid is strongly related to how severe initial infections are. In 2020, when Covid-19 was many times more problematic than flu, long Covid was fairly common, but after successful vaccination campaigns, effective new medications and wide-scale infection, the risk from a Covid-19 infection has gone down substantially. The risk of getting long Covid from an infection is now somewhere around 10 times less common than it was in 2020. Given the decrease in severity of Covid-19, it’s not unlikely that rates of long-lasting symptoms are similar between Covid-19 and influenza in 2024. As I’ve been saying for years , much of this comes down to how we define long Covid, and how we know which long-term symptoms are actually caused by Covid-19.

In other words, you could reasonably argue that Dr Gerrard is correct. The problem, however, is that a lot of people were infected in 2020 and 2021, before we had vaccines and treatments to reduce the severity of the disease. There is no question that a large group of people are still suffering serious problems from their initial Covid-19 infection, many of them years after first getting sick. Australia doesn’t have a national estimate of how many, but data from the UK suggests that about 0.5% of the country might have their day-to-day activities significantly limited by ongoing symptoms, while more than 1.0% have been experiencing symptoms for over two years. While it’s not a big percentage, that is still a lot of people – a similar rate in Australia would mean at least 100,000 Aussies suffering similarly. These people have been left largely without hope, because we still don’t really know why they have long Covid, and have no effective interventions to treat their disease.

And herein lies the problem with long Covid discussions. There are two separate conversations going on at the same time. We can talk about the future, which seems a bit brighter – long Covid rates are down drastically, and people who get infected with Covid-19 now are about as likely to experience serious, long-lasting issues as people who got the flu in 2019. But we also have to acknowledge the large number of people seriously injured by Covid-19 in the early stages of the pandemic who may never recover their health.

There may be nothing unique about long Covid in the future – even without this new report the evidence is strong that Covid-19 is now quite similar in risk to influenza per infection – and perhaps we should start talking more about post-viral conditions as a category rather than focusing on those symptoms caused by Covid-19 alone. But if we do, it is important that we do not leave behind the numerous people suffering seemingly endless problems caused by Covid-19 years ago.

Gideon Meyerowitz-Katz is an epidemiologist working in chronic disease in Sydney’s west, with a particular focus on the social determinants that control our health

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Editor in Chief's Introduction to Essays on the Impact of COVID-19 on Work and Workers

On March 11, 2020, the World Health Organization declared that COVID-19 was a global pandemic, indicating significant global spread of an infectious disease ( World Health Organization, 2020 ). At that point, there were 118,000 confirmed cases of the coronavirus in 110 countries. China had been the first country with a widespread outbreak in January, and South Korea, Iran and Italy following in February with their own outbreaks. Soon, the virus was in all continents and over 177 countries, and as of this writing, the United States has the highest number of confirmed cases and, sadly, the most deaths. The virus was extremely contagious and led to death in the most vulnerable, particularly those older than 60 and those with underlying conditions. The most critical cases led to an overwhelming number being admitted into the intensive care units of hospitals, leading to a concern that the virus would overwhelm local health care systems. Today, in early May 2020, there have been nearly 250,000 deaths worldwide, with over 3,500,000 confirmed cases ( Hopkins, 2020 ). The human toll is staggering, and experts are predicting a second wave in summer or fall.

As the deaths rose from the virus that had no known treatment or vaccine countries shut their borders, banned travel to other countries and began to issue orders for their citizens to stay at home, with no gatherings of more than 10 individuals. Schools and universities closed their physical locations and moved education online. Sporting events were canceled, airlines cut flights, tourism evaporated, restaurants, movie theaters and bars closed, theater productions canceled, manufacturing facilities, services, and retail stores closed. In some businesses and industries, employees have been able to work remotely from home, but in others, workers have been laid off, furloughed, or had their hours cut. The International Labor Organization (ILO) estimates that there was a 4.5% reduction in hours in the first quarter of 2020, and 10.5% reduction is expected in the second quarter ( ILO, 2020a ). The latter is equivalent to 305 million jobs ( ILO, 2020a ).

Globally, over 430 million enterprises are at risk of disruption, with about half of those in the wholesale and retail trades ( ILO, 2020a ). Much focus in the press has been on the impact in Europe and North America, but the effect on developing countries is even more critical. An example of the latter is the Bangladeshi ready-made-garment sector ( Leitheiser et al., 2020 ), a global industry that depends on a supply chain of raw material from a few countries and produces those garments for retail stores throughout North America and Europe. But, in January 2020, raw material from China was delayed by the shutdown in China, creating delays and work stoppages in Bangladesh. By the time Bangladeshi factories had the material to make garments, in March, retailers in Europe and North American began to cancel orders or put them on hold, canceling or delaying payment. Factories shut down and workers were laid off without pay. Nearly a million people lost their jobs. Overall, since February 2020, the factories in Bangladesh have lost nearly 3 billion dollars in revenue. And, the retail stores that would have sold the garments have also closed. This demonstrates the ripple effect of the disruption of one industry that affects multiple countries and sets of workers, because consider that, in turn, there will be less raw material needed from China, and fewer workers needed there. One need only multiply this example by hundreds to consider the global impact of COVID-19 across the world of work.

The ILO (2020b) notes that it is difficult to collect employment statistics from different countries, so a total global unemployment rate is unavailable at this time. However, they predict significant increase in unemployment, and the number of individuals filing for unemployment benefits in the United States may be an indicator of the magnitude of those unemployed. In the United States, over 30 million filed for unemployment between March 11 and April 30 ( Bureau of Labor Statistics, 2020 ), effectively this is an unemployment rate of 18%. By contrast, in February 2020, the US unemployment rate was 3.5% ( Bureau of Labor Statistics, 2020 ).

Clearly, COVID-19 has had an enormous disruption on work and workers, most critically for those who have lost their employment. But, even for those continuing to work, there have been disruptions in where people work, with whom they work, what they do, and how much they earn. And, as of this writing, it is also a time of great uncertainty, as countries are slowly trying to ease restrictions to allow people to go back to work--- in a “new normal”, without the ability to predict if they can prevent further infectious “spikes”. The anxieties about not knowing what is coming, when it will end, or what work will entail led us to develop this set of essays about future research on COVID-19 and its impact on work and workers.

These essays began with an idea by Associate Editor Jos Akkermans, who noted to me that the global pandemic was creating a set of career shocks for workers. He suggested writing an essay for the Journal . The Journal of Vocational Behavior has not traditionally published essays, but these are such unusual times, and COVID-19 is so relevant to our collective research on work that I thought it was a good idea. I issued an invitation to the Associate Editors to submit a brief (3000 word) essay on the implications of COVID-19 on work and/or workers with an emphasis on research in the area. At the same time, a group of international scholars was coming together to consider the effects of COVID-19 on unemployment in several countries, and I invited that group to contribute an essay, as well ( Blustein et al., 2020 ).

The following are a set of nine thoughtful set of papers on how the COVID-19 could (and perhaps will) affect vocational behavior; they all provide suggestions for future research. Akkermans, Richardson, and Kraimer (2020) explore how the pandemic may be a career shock for many, but also how that may not necessarily be a negative experience. Blustein et al. (2020) focus on global unemployment, also acknowledging the privileged status they have as professors studying these phenomena. Cho examines the effect of the pandemic on micro-boundaries (across domains) as well as across national (macro) boundaries ( Cho, 2020 ). Guan, Deng, and Zhou (2020) drawing from cultural psychology, discuss how cultural orientations shape an individual's response to COVID-19, but also how a national cultural perspective influences collective actions. Kantamneni (2020) emphasized the effects on marginalized populations in the United States, as well as the very real effects of racism for Asians and Asian-Americans in the US. Kramer and Kramer (2020) discuss the impact of the pandemic in the perceptions of various occupations, whether perceptions of “good” and “bad” jobs will change and whether working remotely will permanently change where people will want to work. Restubog, Ocampo, and Wang (2020) also focused on individual's responses to the global crisis, concentrating on emotional regulation as a challenge, with suggestions for better managing the stress surrounding the anxiety of uncertainty. Rudolph and Zacher (2020) cautioned against using a generational lens in research, advocating for a lifespan developmental approach. Spurk and Straub (2020) also review issues related to unemployment, but focus on the impact of COVID-19 specifically on “gig” or flexible work arrangements.

I am grateful for the contributions of these groups of scholars, and proud of their ability to write these. They were able to write constructive essays in a short time frame when they were, themselves, dealing with disruptions at work. Some were home-schooling children, some were worried about an absent partner or a vulnerable loved one, some were struggling with the challenges that Restubog et al. (2020) outlined. I hope the thoughts, suggestions, and recommendations in these essays will help to stimulate productive thought on the effect of COVID-19 on work and workers. And, while, I hope this research spurs to better understand the effects of such shocks on work, I really hope we do not have to cope with such a shock again.

• Akkermans J., Richardson J., Kraimer M. The Covid-19 crisis as a career shock: Implications for careers and vocational behavior. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Blustein D.L., Duffy R., Ferreira J.A., Cohen-Scali V., Cinamon R.G., Allan B.A. Unemployment in the time of COVID-19: A research agenda. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Bureau of Labor Statistics (2020). Labor Force Statistics from the Current Population Survey. Retrieved May 6, 2020 from https://data.bls.gov/cgi-bin/surveymost .
• Cho E. Examining boundaries to understand the impact of COVID-19 on vocational behaviors. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Guan Y., Deng H., Zhou X. Understanding the impact of the COVID-19 pandemic on career development: Insights from cultural psychology. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Johns Hopkins (2020) Coronavirus Outbreak Mapped: Retrieved May 5, 2020 from https://coronavirus.jhu.edu/map.html .
• International Labor Organization ILO monitor: COVID-19 and the world of work. Third edition updated estimates and analysis. 2020. https://www.ilo.org/wcmsp5/groups/public/@dgreports/@dcomm/documents/briefingnote/wcms_743146.pdf Retrieved May 5, 2020 from:
• International Labor Organization (2020b) COVID-19 impact on the collection of labour market statistics. Retrieved May 6, 2020 from: https://ilostat.ilo.org .
• Kantamneni, N. (2020). The impact of the COVID-19 pandemic on marginalized populations in the United States: A research agenda. Journal of Vocational Behavior, 119 . [ PMC free article ] [ PubMed ]
• Kramer A., Kramer K.Z. The potential impact of the Covid-19 pandemic on occupational status, work from home, and occupational mobility. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Leitheiser, E., Hossain, S.N., Shuvro, S., Tasnim, G., Moon, J., Knudsen, J.S., & Rahman, S. (2020). Early impacts of coronavirus on Bangladesh apparel supply chains. https://www.cbs.dk/files/cbs.dk/risc_report_-_impacts_of_coronavirus_on_bangladesh_rmg_1.pdf .
• Restubog S.L.D., Ocampo A.C., Wang L. Taking control amidst the Chaos: Emotion regulation during the COVID-19 pandemic. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Rudolph C.W., Zacher H. COVID-19 and careers: On the futility of generational explanations. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Spurk D., Straub C. Flexible employment relationships and careers in times of the COVID-19 pandemic. Journal of Vocational Behavior. 2020; 119 [ PMC free article ] [ PubMed ] [ Google Scholar ]
• World Health Organization (2020). World Health Organization Coronavirus Update. Retrieved May 5, 2020 from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 .

COVID-19 vaccines for kids: What you need to know

C oronavirus disease 2019 (COVID-19) vaccines are available to children in the U.S. Here's what parents need to know about the safety and effectiveness of the vaccine, the possible side effects, and the benefits of getting vaccinated.

If children don't frequently experience severe illness with COVID-19, why do they need a COVID-19 vaccine?

While rare, some children can become seriously ill with COVID-19 after getting the virus that causes COVID-19.

A COVID-19 vaccine might prevent your child from getting the virus that causes COVID-19. It also may prevent your child from becoming seriously ill or having to stay in the hospital due to the COVID-19 virus.

What COVID-19 vaccines are available to kids in the U.S.?

In the U.S., COVID-19 vaccines are available to children based on their age. The number of shots, also called doses, depends on the vaccine and the child's vaccine history.

The COVID-19 vaccines available in the United States are:

2023-2024 Pfizer-BioNTech COVID-19 vaccine. This vaccine is available for people age 6 months and older.

Among people with a typical immune system:

• Children age 6 months up to age 4 years are up to date after three doses of a Pfizer-BioNTech COVID-19 vaccine.
• People age 5 and older are up to date after one Pfizer-BioNTech COVID-19 vaccine.
• For people who have not had a 2023-2024 COVID-19 vaccination, the CDC recommends getting an additional shot of that updated vaccine.

2023-2024 Moderna COVID-19 vaccine. This vaccine is available for people age 6 months and older.

• Children age 6 months up to age 4 are up to date if they've had two doses of a Moderna COVID-19 vaccine.
• People age 5 and older are up to date after one Moderna COVID-19 vaccine.

2023-2024 Novavax COVID-19 vaccine. This vaccine is available for people age 12 years and older.

• People age 12 years and older are up to date if they've had two doses of a Novavax COVID-19 vaccine.

In general, people age 5 and older with typical immune systems can get any vaccine that is approved or authorized for their age. They usually don't need to get the same vaccine each time.

Some people should get all their vaccine doses from the same vaccine maker, including:

• Children ages 6 months to 4 years.
• People age 5 years and older with weakened immune systems.
• People age 12 and older who have had one shot of the Novavax vaccine should get the second Novavax shot in the two-dose series.

Talk to your healthcare professional if you have any questions about the vaccines for you or your child. Your healthcare team can help you if:

• The vaccine you or your child got earlier isn't available.
• You don't know which vaccine you or your child received.
• You or your child started a vaccine series but couldn't finish it due to side effects.

How did the FDA determine the safety and effectiveness of the COVID-19 vaccines for use in kids?

For children ages 5 through 11, the FDA reviewed a vaccine study of more than 4,600 children in this age range. Of this group, about 3,100 were given the Pfizer-BioNTech COVID-19 vaccine. The other children were given an inactive (placebo) shot. Children who were given the vaccine were monitored for side effects for at least two months after the second dose. Side effects were generally mild to moderate.

The FDA also took an early look at cases of COVID-19 that occurred one week after children were given a second dose of the vaccine. None of the children in this analysis had been previously diagnosed with COVID-19. Among 1,305 children given the vaccine, there were three cases of COVID-19. Among 663 children given the placebo, there were 16 cases of COVID-19. The results suggest that the vaccine is about 91% effective in preventing COVID-19 in this age group.

For children ages 12 through 15, the FDA reviewed a vaccine study of more than 2,200 U.S. children in this age range. Of this group, about half were given the Pfizer-BioNTech COVID-19 vaccine. The other children were given a placebo shot. A week after the second dose was given, there were no cases of COVID-19 in the 1,005 children given the Pfizer-BioNTech vaccine.

Among 978 children given the placebo, there were 16 cases of COVID-19. None of the children had previously been diagnosed with COVID-19. The results suggest that the vaccine is 100% effective at preventing the COVID-19 virus in this age group. Also, a portion of the children in each age group were monitored for safety for at least two months after being given the second dose of the COVID-19 vaccine.

To find out the effectiveness of the Pfizer-BioNTech vaccine for children ages 6 months through 4 and the Moderna COVID-19 vaccine for children ages 6 months through 17 years old, the FDA looked at the immune responses of children in these age groups after they were fully vaccinated.

The FDA compared those responses to the immune responses of young adults who'd been given higher doses of the same mRNA vaccine.

As with the other vaccines, side effects were recorded. Some of the children were monitored for safety for at least two months after being fully vaccinated.

To find out how well the Novavax COVID-19 vaccine worked, the FDA reviewed data on 2,232 people ages 12 to 17. The research suggests that the vaccine was about 78% effective at preventing COVID-19 disease in this age group.

What are the side effects of the COVID-19 vaccines for kids?

Children given COVID-19 vaccines have side effects similar to those faced by adults. The most commonly reported side effects include:

• Pain, redness or swelling where the shot was given.
• Muscle pain.
• Joint pain.
• Swollen lymph nodes.

Children ages 6 months through 3 years old also might cry, feel sleepy or lose their appetite after vaccination.

Similar to adults, children have side effects within two days after vaccination that typically last 1 to 3 days. More children reported these side effects, except for injection site pain, after the second dose of the vaccine. However, some people have no side effects.

It isn't recommended that you give your child a pain relief medicine before vaccination to prevent side effects. Ask your health care team about giving pain relief medicine that doesn't contain aspirin after your child gets a COVID-19 vaccine.

Can COVID-19 vaccines affect the heart?

In some people, COVID-19 vaccines can lead to heart complications called myocarditis and pericarditis. Myocarditis is the swelling, also called inflammation, of the heart muscle. Pericarditis is the swelling, also called inflammation, of the lining outside the heart.

The risk of myocarditis or pericarditis after a COVID-19 vaccine is rare. These conditions have been reported after a COVID-19 vaccination with any of the three available vaccines. Most cases have been reported in males ages 12 to 39.

If you or your child develops myocarditis or pericarditis after getting a COVID-19 vaccine, talk to a healthcare professional before getting another dose of the vaccine.

Of the cases reported, the problem happened more often after the second dose of the COVID-19 vaccine and typically within one week of COVID-19 vaccination. Most of the people who got care felt better after receiving medicine and resting.

Symptoms to watch for include:

• Chest pain.
• Shortness of breath.
• Feelings of having a fast-beating, fluttering or pounding heart.

If you or your child has any of these symptoms within a week of getting a COVID-19 vaccine, seek medical care.

Are there any long-term side effects of the COVID-19 vaccines?

The vaccines that help protect against COVID-19 are safe and effective. The vaccines were tested in clinical trials. People continue to be watched for rare side effects, even after more than 650 million doses have been given in the United States.

Side effects that don't go away after a few days are thought of as long term. Vaccines rarely cause any long-term side effects.

If you're concerned about side effects, safety data on COVID-19 vaccines is reported to a national program called the Vaccine Adverse Event Reporting System in the U.S. This data is available to the public. The CDC also has created v-safe, a smartphone-based tool that allows users to report COVID-19 vaccine side effects.

If you have other questions or concerns about your symptoms, talk to your healthcare professional.

How do the mRNA COVID-19 vaccines work?

The Pfizer-BioNTech and the Moderna COVID-19 vaccines use messenger RNA, also called mRNA. Researchers have been studying mRNA vaccines for decades.

This type of vaccine gives your cells instructions for how to make the S protein found on the surface of the COVID-19 virus. After vaccination, your muscle cells begin making the S protein pieces and displaying them on cell surfaces. This causes your body to create antibodies. If you later become infected with the COVID-19 virus, these antibodies will fight the virus.

Once the protein pieces are made, the cells break down the instructions and get rid of them. The mRNA in the vaccine doesn't enter the nucleus of the cell, where DNA is kept.

Are there any children who shouldn't get a COVID-19 vaccine?

COVID-19 vaccines shouldn't be given to a child with a known history of a severe allergic reaction to any of the vaccine's ingredients. If this is the case, your child might be able to get different COVID-19 vaccine in the future.

Can a COVID-19 vaccine give a child COVID-19?

No. The COVID-19 vaccines currently available and being developed in the U.S. don't use the live virus that causes COVID-19.

Can children who get COVID-19 experience long-term effects?

Anyone who has had COVID-19 can develop a post-COVID-19 condition. Children and teens are less likely to have a post-COVID-19 condition. But long-term health issues can affect younger people. People with post-COVID-19 conditions report a wide range of symptoms.

When people younger than 18 who had COVID-19 were compared with those who didn't, researchers found higher rates of some health issues. Compared with those who never had COVID-19, young people who did have the disease were more likely to report:

• Blood clot in the lung.
• Blood clot in a vein.
• Heart infection called myocarditis.
• Thickening of the heart wall called cardiomyopathy.
• Kidney failure.
• Type 1 diabetes.

How can children get a COVID-19 vaccine?

Talk to your local health department, pharmacy or your child's health professional for information on where your child can get a COVID-19 vaccine.

How soon can a child get a COVID-19 vaccine before or after getting another vaccine?

A COVID-19 vaccine and other vaccines can be given at the same visit. COVID-19 vaccinations are now part of the immunization schedule for children age 6 months and older. Kids can get a COVID-19 vaccine during their well-child visit or anytime they become eligible based on the vaccination schedule.

If you have questions or concerns about your child getting a COVID-19 vaccine, talk to your child's health care team. The health professional can help you weigh the risks and benefits of vaccination.

©2024 Mayo Foundation for Medical Education and Research (MRMER). All rights reserved.

A Common Virus Emerging as Potential Culprit in Alzheimer’s Disease 

The silent terror of Alzheimer’s disease is slowly robbing millions of their memories and cognitive abilities.

Herpes Simplex Virus May Double Risk of Alzheimer’s

The researchers analyzed blood samples to detect signs of previous infection with herpes simplex virus (HSV) types 1 and 2, as well as the presence of the apolipoprotein E4 (APOE 4) genetic mutation, which is associated with an increased risk of Alzheimer’s disease.

The study found that individuals who had been infected with HSV-1 at some point in their lives had twice the risk of developing dementia compared to those who had never been infected.

This makes “the results even more reliable since age differences, which are otherwise linked to the development of dementia, cannot confuse the results,” Erika Vestin, a medical student at Uppsala University and study co-author, said in a press statement. “More and more evidence is emerging from studies that, like our findings, point to the herpes simplex virus as a risk factor for dementia.”

Still No Definitive Evidence: Expert

One of the primary questions being investigated is whether these microorganisms play an active, causative role in the disease or if they “opportunistically enter the brain,” taking advantage of the damage caused by Alzheimer’s, she noted.

However, there is currently no definitive evidence of a causal relationship between these microorganisms and Alzheimer’s disease, Ms. Forner said. Alzheimer’s is a complex disease with many contributing factors, and multiple causes likely contribute to its underlying biology, she added.

The new study does not prove that herpes viruses caused the onset or contributed to the progression of Alzheimer’s disease, nor does it suggest that antiviral treatment can treat or prevent the condition, according to Ms. Forner.

Understanding Viral Links Critical for Future Treatments

However, understanding the potential connections between viruses, microbes, and Alzheimer’s risk could open up new avenues for treatment development.

COVID-19 Adds Urgency to Understanding Viral Effects on Brain

The COVID-19 pandemic has “multiplied the urgency” to understand how viruses may affect the brain, Ms. Forner said.

Poor Sleep Causes Toxic Brain Buildup, Exercise May Help Detoxify and Reduce Sleep Debt

Childhood Eczema May Hinder Brain Development: Study

These Mental Abilities Could Actually Improve With Age