key: cord-0916021-d4ur0i0o
authors: Pomeroy, Mary A.; Hoover, Edward R.; Dumas, Brianna L.; Kennedy, Katrina S.; Wittry, Beth; Laughlin, Mark E.; Harris, Diane M.; Gieraltowski, Laura; Yellman, Merissa A.; Garcia-Williams, Amanda G.; Marshall, Katherine E.
title: Decisions to attend holiday gatherings during COVID-19 and engagement in key prevention strategies: United States, January 2021
date: 2022-02-09
journal: Epidemiol Infect
DOI: 10.1017/s0950268822000115
sha: 017d854e74b09b3953c8db20ee194b0e99cb66ce
doc_id: 916021
cord_uid: d4ur0i0o

Gatherings where people are eating and drinking can increase the risk of getting and spreading SARS-CoV-2 among people who are not fully vaccinated; prevention strategies like wearing masks and physical distancing continue to be important for some groups. We conducted an online survey to characterise fall/winter 2020–2021 holiday gatherings, decisions to attend and prevention strategies employed during and before gatherings. We determined associations between practicing prevention strategies, demographics and COVID-19 experience. Among 502 respondents, one-third attended in person holiday gatherings; 73% wore masks and 84% practiced physical distancing, but less did so always (29% and 23%, respectively). Younger adults were 44% more likely to attend gatherings than adults ≥35 years. Younger adults (adjusted prevalence ratio (aPR) 1.53, 95% CI 1.19–1.97), persons who did not experience COVID-19 themselves or have relatives/close friends experience severe COVID-19 (aPR 1.56, 95% CI 1.18–2.07), and non-Hispanic White persons (aPR 1.57, 95% CI 1.13–2.18) were more likely to not always wear masks in public during the 2 weeks before gatherings. Public health messaging emphasizing consistent application of COVID-19 prevention strategies is important to slow the spread of COVID-19.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes Coronavirus Disease , is transmitted mainly through close contact with someone who is infected. By 1 July 2021, more than 33.6 million US COVID-19 cases and over 600 000 associated deaths had been reported [1] . Social gatherings, including religious gatherings, wedding receptions and family reunions, have been cited as sources of SARS-CoV-2 transmission [2] [3] [4] [5] including breakthrough infections among those who are vaccinated [6] . During fall and winter months, holiday gatherings among friends and family often occur. Due to cooler temperatures, these gatherings may occur indoors, which increases the risk of SARS-CoV-2 transmissionespecially when ventilation is poor [7, 8] . These gatherings frequently centre around shared food and drinks, which mark time-honoured rituals that symbolise community, connection and tradition [9] . However, social gatherings that involve consuming food and drinks may contribute additional risk of SARS-CoV-2 transmission, since some key prevention strategies, such as wearing a mask, are not possible while actively eating and drinking.

The US Centers for Disease Control and Prevention (CDC) issued guidance on holiday gatherings from October to December 2020, which emphasised celebrating holidays only with persons who live in the same household, and also provided strategies for navigating holiday gatherings with non-household members (NHHMs) as safely as possible. The guidance stressed prevention strategies such as consistently wearing masks covering the nose and mouth, practicing physical distancing, improving ventilation, bringing one's own food and drink, and setting expectations with NHHMs about prevention strategies during and before gatherings.

From 25 November 2020 to 15 January 2021, cases of COVID-19 increased by 83% and deaths increased by 50% nationally [1] ; gatherings around the holidays, especially those involving meals, may have contributed to this increase. However, there are limited data characterizing holiday gatherings during the 2020 holiday season and adherence to CDC's COVID-19 guidance. We characterised holiday gatherings involving meals with NHHMs by size, setting and engagement in prevention strategies; described factors influencing decisions to attend holiday gatherings with NHHMs; and identified characteristics and factors associated with engaging in prevention strategies during and before holiday gatherings.

During 12-14 January 2021, 502 US adults aged ≥18 years completed an opt-in online survey administered by Porter Novelli Public Services and ENGINE Insights using the Lucid platform (31.5% response rate; 502/1594) [10, 11] . The Lucid platform is comprised of multiple panel surveys. Survey respondents were selected through quota sampling, among a nationwide sample of survey volunteers from multiple panel surveys; individuals who had not taken a survey in the previous 20 waves of survey administration were eligible to participate. Responses were weighted by gender, age, community type, census region, race/ ethnicity, household income, employment status and education to reflect US Current Population Survey proportions (Table 1 ) [12] . CDC licensed these data from Porter Novelli Public Services. While Porter Novelli Public Services and its vendors are not subject to CDC Institutional Review Board (IRB) review, they do adhere to all professional standards and codes of conduct set forth by the Council of American Survey Research Organizations (CASRO). Respondents are informed that their answers are being used for market research and they may refuse to answer any question at any time. No personal identifiers are included in the data file that is provided to CDC. Additionally, this activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy. 1 To characterise and assess factors related to holiday meal gatherings in the context of the COVID-19 pandemic, we asked respondents five questions about their experiences with COVID-19 (e.g. if ever been tested for COVID-19, been hospitalised for COVID-19), holiday gathering type (with or without NHHMs), factors influencing decisions to attend gatherings, behaviours during gatherings and prevention strategies taken before gatherings (Supplemental Material S1). Given constraints of the survey mechanism, we did not pretest to assess respondents' comprehension of questions, nor assess for interpretation (e.g. how respondents interpreted 'good circulation and air flow' in Question 4 of Supplementary Table S1).

We categorised respondents' experiences with COVID-19 into three tiered groups in the following order: ill-self, ill-others and other experience (Table 2) . Respondents categorised as ill-self had personal COVID-19 experiences, which included being hospitalised or testing positive for COVID-19. Respondents categorised as ill-others did not personally experience COVID-19 but reported having a relative or close friend with a severe COVID-19 experience (either hospitalised or died). Respondents categorised as other experience were respondents who did not meet the criteria for the aforementioned two categories. These categories were not mutually exclusive (e.g. a respondent in the ill-self group could have also had a relative or close friend that had a severe COVID-19 experience). Ill-self and ill-others were categorised separately because persons who had COVID-19 and recovered may be less susceptible to reinfection [13] , whereas persons who had a relative or close friend with a severe COVID-19 experience but did not experience COVID-19 infection themselves remain susceptible, which might affect engagement in protective strategies. To further explore these concepts, we also analysed COVID-19 experience as two categories by combining ill-self and ill-others, and compared with other experience.

We created variables to describe holiday gatherings with NHHMs (any meals with NHHMs vs. only meals with people I live with, or none of these), the meal setting (any meals indoors vs. only meals outdoors) and gathering size (any gatherings with >10 people vs. only gatherings with ≤10 people).

We asked respondents about the degree to which they considered certain factors important when they decided whether to attend holiday gatherings with NHHMs, using a five-point Likert scale of not at all important to extremely important. These were further categorised as two mutually exclusive categories: important (reported as slightly, moderately, very or extremely) vs. not important (reported as not at all important). Engagement in key prevention strategies and other practices before and during holiday gatherings were also measured using a five-point Likert scale and were categorised as two mutually exclusive categories: ever (reported as rarely, sometimes, often or all the time) vs. never. To capture respondents who always engaged in these prevention strategies during one or more holiday gatherings, we created additional mutually exclusive categories: always (all the time) vs. not always (never, rarely, sometimes or often). People who do not always engage in prevention strategies increase their risk of exposure to SARS-CoV-2; the less someone engages in prevention strategies, the higher the risk for exposure to SARS-CoV-2. Race/ ethnicity was divided into the following mutually exclusive categories: non-Hispanic White persons, non-Hispanic Black persons, Hispanic persons (any race) or non-Hispanic multiple race/other race (including persons who were Asian, Native American/Alaska Natives, other races and persons who identified with more than one race). Because persons belonging to racial/ethnic minority groups are overrepresented among essential workers and thus may have been exposed to COVID-19 [14, 15] , we created an additional category that combines persons of racial/ethnic minority groups, to compare them with non-Hispanic White persons.

We calculated frequencies for demographic characteristics (i.e. age, gender, race/ethnicity, annual household income, education, community type, census region), COVID-19 experience, characteristics of holiday gatherings with NHHMs, key prevention strategies and other practices, and decision factors. We present frequency data as unweighted sample sizes and weighted percentages. We calculated weighted mean scores for each decision factor.

To assess the extent to which demographic characteristics, COVID-19 experience and decision factors were associated with choosing to attend holiday gatherings with NHHMs, we created a reduced variable model using a weighted main-effects multiple logistic regression with a backwards selection method utilizing Schwarz Bayesian information criteria. Demographic characteristics, listed above, and COVID-19 experience were used as statistical controls. Weighted mean scores were modelled for the decision factors. We used Zou's modified Poisson regression approach to estimate adjusted prevalence ratios (aPRs), and Tukey-Kramer Minimum Significant Difference (MSD) test to adjust confidence intervals (CI) and P-values to correct for familywise-error rate in cases in which all orthogonal pairings were conducted.

Using weighted main-effects multiple logistic regression and Zou's approach, we created models to assess the extent to which demographic characteristics and COVID-19 experience were associated with three key prevention strategies: wearing masks, physical distancing and avoiding crowds/gatherings. These three key strategies were selected since they have been emphasised throughout the COVID-19 pandemic, regardless of setting [16] . For this survey, this included two key prevention strategies that respondents could have engaged in during holiday gatherings (wearing masks and physical distancing (stayed at least 6 feet away from NHHMs)) and three key prevention strategies before holiday gatherings (wearing masks, physical distancing and avoiding crowds/gatherings with NHHMs). Prevention strategies before holiday gatherings were assessed because low engagement of them could increase the likelihood of exposure to SARS-CoV-2 and increase the risk of transmission during holiday gatherings. The outcomes modelled were not always engaging in these strategies.

Given the exploratory nature of the analyses, relationships at P⩽0.08 are discussed. All analyses were conducted using SAS version 9.4 (SAS Institute, Inc., Cary, NC, USA).

Among 502 respondents, 52% were female; 63% were non-Hispanic White, 17% were Hispanic (any race), 12% were non-Hispanic Black and 9% were persons identifying with multiple or other races (6% Asian, 0.6% Native American/Alaska Natives Ill-other

Neither personal experience nor experience through severe illness or death of relative/close friend -Been tested for COVID-19 -Been in close contact (e.g. within 6 feet for 15 min total in a 24 h period) with someone who has COVID-19 -Had any symptom(s) of COVID-19 such as fever/chills, cough, shortness of breath, fatigue, headache, etc. -Had a relative or close friend test positive for COVID-19 -None of the above Other experience a If respondents met 'Personal experience' criteria, they were not included in other groups.

and 2% persons who identified as another race or with more than one race) ( Table 1 ). The median age of respondents was 43 years (interquartile range (IQR) 31-60). For COVID-19 experience, 8% of respondents were categorised as ill-self; 24% as ill-others; and 68% as other experience.

The decision factor with the highest mean score was whether an NHHM or someone at the holiday meal was at risk for severe COVID-19 illness (3.7), and the lowest mean score was pressure from family or friends to attend gatherings (2.5) ( Table 3 ). Most respondents reported that the size of the holiday gathering was important in their decision about whether to attend (82%); more than three-quarters of respondents indicated that agreement among attendees about wearing masks at all times when not eating or drinking was important in their decision about whether to attend (78%).

About one-third of respondents attended at least one holiday gathering with NHHMs (34%). Several decision factors, age and COVID-19 experience were associated with attending holiday gatherings with NHHMs (Table 4 ). Respondents were more likely to attend NHHM gatherings if they reported desire to see friends and family (aPR = 1.26, 95% CI 1.13-1.40) and whether other guests were part of their 'COVID-19 bubble' (aPR 1.30, 95% CI 1.18-1.44) as more important in their decision to attend. Respondents were more likely to attend NHHM gatherings if they were younger (18-34 years) compared with respondents who were 35 or older (aPR 1.44, 95% CI 1.12-1.86), or if they had a relative or close friend experience severe COVID-19 compared with respondents with other COVID-19 experience (aPR 1.37, 95% CI 1.00-1.87), though this was marginally significant. Respondents were less likely to attend NHHM gatherings if they reported CDC's holiday guidance as more important (aPR 0.82, 95% CI 0.72-0.92) and agreements that everyone would wear masks at all times while not eating or drinking (aPR 0.81, 95% CI 0.73-0.89) as more important in their decision to attend.

Among the respondents who did have holiday gatherings with NHHMs, most only attended gathering(s) with ≤10 people (81%). Three-quarters of respondents had at least one gathering indoors (76%). Other practices included eating outdoors (ever: 52%, always: 7%), eating outdoors in a tent or enclosure (ever: 42%, always: 5%), eating indoors without good circulation (ever: 61%, always: 6%), sitting at a table only with household members with tables spaced at least 6 feet apart (ever: 72%, always: 16%), and bringing their own food/drinks (ever: 71%, always: 11%).

During holiday gatherings with NHHMs, key prevention strategies that respondents ever or always engaged in included wearing a mask except when eating or drinking (ever: 73%, always: 29%) and staying at least 6 feet away from NHHMs (ever: 84%, always: 23%) ( Table 5 ). Only one of the two key prevention strategies during holiday gatherings was significantly associated with any predictors (Table 6) . Respondents who had other experience with COVID-19 were more likely to not always wear masks compared Key prevention strategies and other practices before holiday gatherings with NHHMs

During the 2 weeks before attending NHHM holiday gatherings, key prevention strategies that respondents ever or always engaged in included wearing a mask every time they were around NHHMs (ever: 91%, always: 39%), staying at least 6 feet away from NHHMs (ever: 94%, always: 30%) and avoiding group gatherings with NHHMs (ever: 91%, always: 29%) ( Table 7) . Other practices included avoiding indoor public places (ever: 93%, always: 37%), avoiding grocery stores (ever: 64%, always: 9%), quarantining for 14 days (ever: 55%, always: 14%) and getting tested for COVID-19 at least 3-5 days before holiday gatherings with NHHMs (ever: 43%, always: 9%). Several factors were significantly associated with not always engaging in two of the three key prevention strategies before attending NHHM holiday gatherings ( 

Most respondents followed CDC's COVID-19 holiday gathering guidance either by gathering only with people who lived in their household (66%) or by engaging in key prevention strategies to make gatherings with people outside their household safer, like wearing masks (73%) and practicing physical distancing (84%). Engagement in these same prevention strategies during the 2 weeks before holiday gatherings was even higher; 91% wore masks, and 94% practiced physical distancing around NHHMs. Furthermore, the more important that (1) CDC guidance and (2) agreement among guests to wear masks when not eating or drinking was in a respondent's decision whether to attend holiday gatherings, the less likely respondents were to actually attend them. These findings suggest that CDC's COVID-19 guidance may be reaching the public and underscores the importance of continuing to share public health messaging during the COVID-19 pandemic. Although many respondents who attended gatherings engaged in key prevention strategies before and during holiday gatherings with people outside their household, most respondents did not always engage in these prevention strategies, which increases the risk of SARS-CoV-2 transmission. During holiday gatherings, less than one-third of respondents always wore masks when not eating or drinking (29%) or always practiced physical distancing (23%). Similarly, before holiday gatherings, fewer respondents always wore masks when not eating or drinking (39%) and practiced physical distancing (30%). Consistent and correct mask usage is critical for reducing SARS-CoV-2 transmission among those not fully vaccinated [17, 18] , particularly when gathering indoors with people outside of one's household [19] [20] [21] [22] [23] . When mask use is challenging, like when eating and drinking, good ventilation and physical distancing are especially important.

Younger respondents were more likely to attend holiday gatherings and were more likely to not always wear masks during the 2 weeks before them. This finding is consistent with previous studies which identified reduced mask adherence among young adults [24] and social, peer pressure and low perceived severity of COVID-19 outcomes as possible drivers of behaviour [25, 26] . Though younger respondents were more likely to not always wear masks before gatherings, there was no association between age and mask usage during holiday gatherings. One study found that even though young adults perceived COVID-19 severity for themselves as low, perceived severity for others was high, which might explain why young adults might not wear masks with peers, but would wear masks when with loved ones at increased risk for severe illness [26] , including at holiday gatherings.

Respondents who identified as non-Hispanic White were more likely to not always wear masks before holiday gatherings than persons of racial/ethnic minority groups. This finding is consistent with a previous study which identified reduced mask adherence among White persons compared with Latina/o, Black and Asian persons, though ethnicity was not captured [27] . Higher mask adherence among racial/ethnic minority groups may be explained by a heightened awareness of the overrepresentation of Hispanic, non-Hispanic Black and non-Hispanic American Indian/Alaska Native persons in COVID-19 incidence, emergency department visits, hospitalisations and deaths compared with non-Hispanic White persons [28] [29] [30] [31] . Moreover, mask adherence could be related to the perceptions of susceptibility to COVID-19 a known predictor of behaviour across diseases [32] . Though, a recent study found lower perceived susceptibility of COVID-19 among Black persons compared to White personsdata consistent with perceptions during H5N1 and HINI outbreaks [33] [34] [35] . More research is needed to understand why persons choose to wear a mask during COVID-19, and the relationship between perceived susceptibility of COVID-19 and mask adherence, especially among racial/ethnic groups that have been disproportionately affected by COVID-19.

Respondents who had not experienced COVID-19 themselves or had a relative or close friend experience severe COVID-19 were more likely to not always wear a mask during or before holiday gatherings and were more likely to not always avoid group gatherings. A lack of COVID-19 experience may contribute to reduced perceptions of susceptibility to infection and severity of disease. In one study, knowing someone with COVID-19 was a predictor of mask wearing [36] . In another, persons who experienced COVID-19 themselves had an increased perception of severity and described a sense of fear that they would infect others [37] . Perceived severity and susceptibility are two constructs that are known to be associated with human behaviour and have been identified as predictors of COVID-19 mitigation behaviours in other studies [25, 36, 38] . In contrast, respondents who had a relative or close friend who had experienced severe COVID-19 were more likely to attend holiday gatherings with others outside their household than those with other experience. This may be driven by multiple factors including COVID-19 pandemic fatigue causing relaxation of prevention behaviours [36, 39] , or that the desire to continue traditional holiday rituals superseded perceived risk. We found that the more important the desire to see friends or family was in the decision to attend a holiday gathering, the more likely a respondent was to attend, suggesting this may be an important driver. Of note, we did not assess the timing of respondent's relative or close friend's severe COVID-19 experience, or whether respondents attended holiday gatherings with the same relatives/close friends who had a severe COVID-19 experience.

While we hypothesised that associations between attending holiday gatherings or engagement in key prevention strategies and COVID-19 experience might differ between ill-self and ill-others categories, we did not find strong evidence for this. For each model, the ill-self and ill-others categories were not significantly different from one another, and they each had adjusted prevalence ratios that were similar in magnitude and direction when compared with the other COVID-19 experience category. Our inability to detect differences between these groups may be partly due to small sample size; only 8% of respondents in the overall survey were categorised as ill-self. Another explanation could be how we categorised COVID-19 experience. Respondents categorised as ill-self could have also had a relative/close friend experience severe COVID-19, since ill-self and ill-others were not mutually exclusive. Further, respondents categorised as other COVID-19 experience included people who experienced COVID-19-like symptoms; these respondents may have perceived they had COVID-19, even if they did not receive a positive test result. One study found a positive association between persons who had COVID-19-like symptoms and wearing masks [36] . By assessing COVID-19 illness based on test results, rather than one's perception of having COVID-19, we may have underestimated their perceived susceptibility to subsequent COVID-19 illness, which in turn could have influenced their behaviours.

Attending future holiday gatherings of any size with people outside one's household poses some degree of risk of SARS-CoV-2 transmission, particularly if indoors, and if attendees have not been fully vaccinated against COVID-19. The more a person who is not fully vaccinated interacts with other people who are not fully vaccinated without engaging in prevention strategies (e.g. indoors and without masks), both during and before gatherings, and the longer that interaction lasts, the higher the risk of becoming infected with, or spreading, SARS-CoV-2 [40] . Given the high proportion of respondents who reported eating indoors (which could be due to factors such as cold weather) in this survey, promoting outdoor dining during warmer months could be an effective strategy for reducing transmission. Messaging should also continue to emphasise key prevention strategies for people who are not fully vaccinated during and before gatherings. Messaging around mask usage in particular could focus on younger adults who are not fully vaccinated, non-Hispanic White persons, and persons who have not experienced COVID-19 personally or had a relative/close friend experience severe COVID-19. Messaging to leverage others' experiences with COVID-19 could include storytelling or developing public health narratives, such as CDCs 'I wear a mask because' campaign [41] . These narratives can be helpful in addressing reduced perceptions of susceptibility and severity, overcoming resistance to public health messaging, and supporting observational learning, and they may positively influence certain subpopulations who might identify with the narrative [42] . Communication strategies could also consider ways to strengthen consistency of engagement in these prevention strategies.

This study is subject to at least six limitations. First, though quota sampling and weighting survey data were employed to increase representativeness, data collected may not be generalisable across the US population given non-probability sampling and poor response rate (31.5%). Second, self-reported data may be impacted by social desirability, recall, volunteer, or recency bias. Third, although we attempted to capture driving factors behind decisions around attending holiday gatherings, this exploratory study was not designed to understand reasoning behind certain behaviours. Fourth, small sample sizes limited statistical power and thus our ability to conduct sub-analyses. Fifth, we did not capture certain holiday gathering characteristics, including if NHHMs attending holiday gatherings were only part of one's COVID-19 bubble, or the total number of holiday gatherings that respondents attended. Sixth, timing of COVID-19 experience relative to holiday gatherings was not assessed; therefore, we are unable to determine if COVID-19 experience directly impacted decisions and engagement in prevention strategies during and before holiday gatherings. This analysis was not designed to determine whether engagement in prevention strategies differed between gatherings for respondents who may have attended multiple gatherings.

Most respondents heeded CDC's 2020 fall/winter holiday guidance and did not attend holiday gatherings with NHHM; among respondents who did, many engaged in a range of prevention strategies and other practices to make them safer, although not consistently. Despite these efforts, improvements in the consistency of practicing key prevention strategies is needed and could further help slow the spread of COVID-19. Future research could focus on characterizing factors associated with practicing prevention strategies periodically vs. consistently. Future vaccination efforts are particularly critical as a prevention strategy for those attending indoor holiday gatherings since many respondents did not consistently engage in key prevention strategies.

Supplementary material. The supplementary material for this article can be found at https://doi.org/10.1017/S0950268822000115.

Community transmission of SARS-CoV-2 at two family gatherings

High COVID-19 attack rate among attendees at events at a church -Arkansas

Multiple COVID-19 outbreaks linked to a wedding reception in rural Maine

Adolescent with COVID-19 as the source of an outbreak at a 3-week family gathering -four states

Outbreak of SARS-CoV-2 infections, including COVID-19 vaccine breakthrough infections

Summary of guidance for public health strategies to address high levels of community transmission of SARS-CoV-2 and related deaths

Improving ventilation in your home

Why we love holiday rituals and traditions: an anthropologist explains

Knowledge and practices regarding safe household cleaning and disinfection for COVID-19 prevention -United States

Validating the demographic, political, psychological, and experimental results obtained from a new source of online survey respondents

Current population survey 2019

Centers for Disease Prevention and Control. Test for past infection

Racial and ethnic disparities among COVID-19 cases in workplace outbreaks by industry sector -Utah

A basic demographic profile of workers in frontline industries

Things to know about the COVID-19 pandemic. cdc.gov

Guidance for wearing masks

Science brief: community use of cloth masks to control the spread of SARS-CoV-2

Absence of apparent transmission of SARS-CoV-2 from two stylists after exposure at a hair salon with a universal face covering policy

Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing: a cohort study in Beijing

Case-control study of use of personal protective measures and risk for severe acute respiratory syndrome coronavirus 2 infection

SARS-CoV-2 infections and serologic responses from a sample of US Navy service members -USS Theodore Roosevelt

Lack of COVID-19 transmission on an international flight

COVID-19 mitigation behaviors by age group -United States

Motivations and barriers for the use of face coverings during the COVID-19 pandemic: messaging insights from focus groups

Factors influencing risk for COVID-19 exposure among young adults aged 18-23 years

Understanding how race, ethnicity, and gender shape mask-wearing adherence during the COVID-19 pandemic: evidence from the COVID impact survey

Health equity considerations and racial and ethnic minority groups

Race, ethnicity, and age trends in persons who died from COVID-19 -United States

Hospitalization and mortality among black patients and white patients with Covid-19

Emergency department visits for COVID-19 by race and ethnicity -13 states

The Health Belief Model In: Health Behavior and Health Education Theory, Research, and Practice

Factors associated with perceived susceptibility to COVID-19 among urban and rural adults in Alabama

Pandemics and health equity: lessons learned from the H1N1 response in Los Angeles County

Crisis and emergency risk communication in a pandemic: a model for building capacity and resilience of minority communities

Mask use, risk-mitigation behaviours and pandemic fatigue during the COVID-19 pandemic in five cities in Australia, the UK and USA: a cross-sectional survey

It's not just a virus! lived experiences of people diagnosed with COVID-19 infection in Denmark

Knowledge, perceived beliefs, and preventive behaviors related to COVID-19 among Chinese older adults: cross-sectional web-based survey

The ills of pandemic fatigue

Guidance for organizing large events and gatherings

Centers for Disease Control and Prevention. I wear a mask because

Using narrative communication as a tool for health behavior change: a conceptual, theoretical, and empirical overview

Data availability. If interested in accessing data or other materials related to this manuscript, readers may contact the corresponding author.