Social Distancing Behavior Research Articles

Intention to adherence to social distancing for prevention of Covid-19 in the urban areas of southern Iran: a structural equation modeling (SEM) analysis of theory of planned behavior

BackgroundSocial distancing is a key behavior to minimize and controlling COVID-19 infections. The current study applied an integrated Theory of Planned Behavior to identify the determinants of social distancing behavior, and the processes involved, in the context of the COVID-19 pandemic.Methodsa cross-sectional study was conducted in Southern Iran among 1000 people from Shiraz by employing a convenience sampling technique. Data were collected using a pre-tested and structured questionnaire based on the main constructs of the Theory of Planned Behavior. Statistical analysis was done using IBM SPSS software version 22 and Amos version 24. Level of statistical significance was declared at a P-value of less than 0.05.Resultsaccording to the results, the subjective norms (F = 2.696, effect size = 0.139) and attitude (F = 3.582, effect size = 0.155) play an important role in the samples’ PBC (P ≤ 0.05). Final adjusted structural equation model of the effects of independent variables (Gender, subjective norms, attitude) on samples’ intention to adherence social distancing for prevention of Covid-19 with the mediating role of one main variable of PBC. The PBC alone can be an important factor in creating intensive behavior in the samples (F = 3.560, effect size = 0.18).Conclusioncurrent findings highlight the importance of “attitude, subjective norms and PBC” as determinants of social distancing intention. Future research on long-range predictors of social distancing behavior and reciprocal effects in the integrated model is warranted. This evidence is relevant to public and private organizations in the process of developing strategies to promote and engage the population in adopting the behavior of “Adherence to Social Distancing” in Iran.

The role of personality traits and emotional intelligence in the evaluation of the benefits and costs of social distancing during a pandemic outbreak

The analysis of the benefits and costs of social distancing is a crucial aspect for understanding how individual and community actions can mitigate and manage the costs of a pandemic. In this study, we aimed to investigate the extent to which personality factors and emotional intelligence (EI) contributed to the subjective assessment of the benefits and costs of social distancing behaviors during the COVID-19 pandemic. We also aimed at determining whether EI served as a mediator in the relationship between personality traits and the evaluation of social distancing consequences. Data was collected via online surveys from a sample of 223 Italian-speaking participants (age: 30.78 ± 9.97; 86.1% females) between March and April 2021. Findings indicate that the tendency to prioritize the benefits of social distancing over personal costs was positively associated with emotional stability and emotion regulation, but negatively associated with extroversion. The following mediational analyses revealed that the emotion regulation facet of EI mediated the associations between personality dimensions (emotional stability and extroversion) and the evaluation of the costs and benefits of social distancing. These findings provide useful indications and implications for developing appropriate communication strategies aimed at reaching the general population and suggest that, during health-related crises, emphasis should be placed on offering courses and programs to improve and develop individuals’ EI.

Psychological and psychosocial determinants of COVID related distancing behaviours: A systematic review

AbstractBackgroundThe COVID‐19 pandemic, caused by the SARS‐CoV‐2 virus, has resulted in illness, deaths and societal disruption on a global scale. Societies have implemented various control measures to reduce transmission of the virus and mitigate its impact. Individual behavioural changes are crucial to the successful implementation of these measures. One commonly recommended measure to limit risk of infection is distancing. It is important to identify those factors that can predict the uptake and maintenance of distancing.ObjectivesWe aimed to identify and synthesise the evidence on malleable psychological and psychosocial factors that determine uptake and adherence to distancing aimed at reducing the risk of infection or transmission of COVID‐19.Search MethodsWe searched various literature sources including electronic databases (Medline ALL, Child Development & Adolescent Studies, ERIC, PsycInfo, CINAHL & Web of Science), web searches, conference proceedings, government reports, other repositories of literature and grey literature. The search strategy was built around three concepts of interest including (1) context (terms relating to COVID‐19), (2) behaviour of interest and (3) terms related to psychological and psychosocial determinants of COVID‐19 Health‐Related Behaviours and adherence or compliance with distancing, to capture malleable determines. Searches capture studies up until October 2021.Selection CriteriaEligibility criteria included observational studies (both retrospective and prospective) and experimental studies that measure and report malleable psychological and psychosocial determinants and distancing (social and/or physical) at an individual level, amongst the general public. We defined physical distancing as, maintaining the recommended distance from others when physically present. And social distancing being defined as, minimising social contact with those outside of your own household. Screening was supported by the Cochrane Crowd. Studies' titles and abstracts were screened against the eligibility criteria by three independent screeners. Following this, all potentially relevant studies were screened at full‐text level by the research team. All conflicts between screeners were resolved by discussion between the core research team.Data Collection and AnalysisAll data extraction was managed in EPPI‐Reviewer software. All eligible studies, identified through full‐text screening were extracted by one author. We extracted data on study information, population, determinant, behaviour and effects. A second author checked data extraction on 20% of all included papers. All conflicts were discussed by the two authors until consensus was reached. We assessed methodological quality of all included studies using an adapted version of the Joanna Briggs Institute Quality appraisal tool.Main ResultsA total of 91 studies were suitable for inclusion in the review, representing 199,604 participants. The vast majority of studies had samples from the general public, with 15 of the studies focusing on specific samples. The majority of studies included participants over 18 years old, with 5 reporting on specific ages (adolescents and adults over 65). The quality of 29 of the studies was rated as unclear, 48 were rated as low, and 14 rated high risk of bias, predominately due to lack of reporting of recruitment, sample characteristics and methodology. Overall the majority of these relationships were weak. Stronger relationships were observed between attitudes, social norms, perceived behavioural control and both social and physical distancing. And between worry, response effectiveness, self‐efficacy and social distancing. However, there is a high level of heterogeneity in the findings. This heterogeneity might be, partly, due to the differences in measurement of the determinants and distancing across studies.Authors' ConclusionsThe findings from this review indicate that social distancing behaviours are more likely to be undertaken by people who are worried about COVID‐19 and who believe that social distancing is an effective way of avoiding COVID‐19. Physical distancing behaviours are more likely to be undertaken by those who believe that they can control physical distancing from others, who believe that physical distancing is the social norm and who have a positive attitude to engaging in this behaviour. It is important to understand how to strengthen these behavioural determinants to develop effective interventions to promote distancing behaviours in any potential future waves of COVID‐19, and other respiratory infections.

Analyzing outdoor event attendees’ pro-social attitudes and intentions to adopt social distancing practices

This study developed a theoretical framework to understand outdoor event attendees’ psychological mechanisms associated with the adoption of pro-social behavior. The theory of planned behavior, the norm activation model, personal values, perceived knowledge and threats were all merged to formulate the framework, using Chinese outdoor event attendees after the outbreak of COVID-19 as survey participants. The results showed that attitude toward social distancing behavior, subjective norms, awareness of consequences, ascribed responsibility, personal norms, self-transcendent value, knowledge of the pandemic, and perceived threat had effects on activating pro-social intentions for social distancing practices. This study also provided implications for the theoretical expansion of predicting pro-social behavior and for the practical management of social distancing practices at outdoor events in the COVID-19 era. The limitations of the current study and suggestions for future research are also presented.

Measuring Relationship Influences on Romantic Couples' Cancer-Related Behaviors During the COVID-19 Pandemic: Protocol for a Longitudinal Online Study of Dyads and Cancer Survivors.

Research has established the effects of romantic relationships on individuals' morbidity and mortality. However, the interplay between relationship functioning, affective processes, and health behaviors has been relatively understudied. During the COVID-19 pandemic, relational processes may influence novel health behaviors such as social distancing and masking. We describe the design, recruitment, and methods of the relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study. This study was developed to understand how relational and affective processes influence romantic partners' engagement in cancer prevention behaviors as well as health behaviors introduced or exacerbated by the COVID-19 pandemic. The relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study used online survey methods to recruit and enroll 2 cohorts of individuals involved in cohabiting romantic relationships, including 1 cohort of dyads (n=223) and 1 cohort of cancer survivors (n=443). Survey assessments were completed over 2 time points that were 5.57 (SD 3.14) weeks apart on average. Health behaviors assessed included COVID-19 vaccination and social distancing, physical activity, diet, sleep, alcohol use, and smoking behavior. We also examined relationship factors, psychological distress, and household chaos. Data collection occurred between October 2021 and August 2022. During that time, a total of 926 participants were enrolled, of which about two-thirds were from the United Kingdom (n=622, 67.8%) and one-third were from the United States (n=296, 32.2%); about two-thirds were married (n=608, 66.2%) and one-third were members of unmarried couples (n=294, 32%). In cohorts 1 and 2, the mean age was about 34 and 50, respectively. Out of 478 participants in cohort 1, 19 (4%) identified as Hispanic or Latino/a, 79 (17%) as non-Hispanic Asian, 40 (9%) as non-Hispanic Black or African American, and 306 (64%) as non-Hispanic White; 62 (13%) participants identified their sexual orientation as bisexual or pansexual, 359 (75.1%) as heterosexual or straight, and 53 (11%) as gay or lesbian. In cohort 2, out of 440 participants, 13 (3%) identified as Hispanic or Latino/a, 8 (2%) as non-Hispanic Asian, 5 (1%) as non-Hispanic Black or African American, and 398 (90.5%) as non-Hispanic White; 41 (9%) participants identified their sexual orientation as bisexual or pansexual, 384 (87.3%) as heterosexual or straight, and 13 (3%) as gay or lesbian. The overall enrollment rate for individuals was 66.14% and the overall completion rate was 80.08%. We discuss best practices for collecting online survey data for studies examining relationships and health, challenges related to the COVID-19 pandemic, recruitment of underrepresented populations, and enrollment of dyads. Recommendations include conducting pilot studies, allowing for extra time in the data collection timeline for marginalized or underserved populations, surplus screening to account for expected attrition within dyads, as well as planning dyad-specific data quality checks. DERR1-10.2196/48516.

Party identity and social-distancing behaviours in Brazil

ABSTRACT Does political affiliation of local politicians determine citizens’ compliance to social distancing behaviours? I provide causal estimates of the effect of political identity of municipal mayors on regional differences in engaging in COVID preventive behaviours in the context of Brazil. I employ a sharp regression discontinuity design based on close mayoral elections in 2016 to examine the effects of having a mayor from one of three political parties that President Jair Bolsonaro is closely associated with, by combining Facebook mobility data that tracks regional movement relative to February 2020 levels with electoral data from the 2016 mayoral municipal elections. The methodology compares municipalities that are similar along a wide array of predetermined and observable correlates of the spread of coronavirus, and where the incumbent mayor was selected as-if randomly. I find that residents of Bolsonaro-affiliated municipalities exhibit 60% smaller relative declines in regional movement and are 13% more likely to cross regional boundaries over the months of March, April, and May in 2020. The findings hold for each of the three political parties, for each of the three months since the onset of the pandemic, and after controlling for anti-lockdown measures of 15 March 2020 in Brazil.

Association of Individual Behaviors With Infection Prevention Measures and COVID-19 Development: A Japanese Cross-Sectional Study.

During the COVID-19 pandemic, people often modified their behaviors and performed individual infection control practices despite the uncertain effectiveness of these in preventing COVID-19. A cross-sectional study using a nationwide internet survey (Japan COVID-19 Society Internet Survey) was conducted from September 2022 through October 2022. The questionnaire consisted of individual-level social distancing behaviors and infection prevention measures, and COVID-19 vaccination status. A multivariate logistic regression was performed to determine factors associated with the diagnosis of COVID-19 in the last two months of the survey date. In total, 19,296 respondents were selected for the primary analysis. Of 19,296 respondents, those with COVID-19 diagnosed in the last two months were 1,909 (9.9%). Factors independently associated with a recent history of COVID-19 were meeting colleagues in person ≧ 1 per week (adjusted odds ratio [aOR] 1.72). The response of "never or rarely" to the question of taking out (i.e., dining in) foods was marginally associated with a recent history of COVID-19 (aOR 1.27). Most individual, infection prevention practices and behavioral modifications during the omicron variant phase of the pandemic did not substantially impact COVID-19 prevention in the community.

Unveiling the dynamics of social distancing intentions in India: a comprehensive analysis integrating health belief and planned behavior models

Purpose The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India. Design/methodology/approach A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses. Findings The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN. Practical implications The results of the study are helpful to policymakers to handle operations management of nudges like social distancing. Originality/value The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

Self-protective behaviors of Thai village health volunteers in community engagement during a COVID-19 outbreak: interpretation using the health belief model

BackgroundVillage health volunteers (VHVs) engaging in community-based COVID-19 prevention and control measures played a key role in mitigating effects of the COVID-19 pandemic in Thailand. We conducted a cross-sectional questionnaire survey study to investigate factors affecting VHVs’ COVID-19 self-protective behaviors and social distancing in Songkhla Province during the first COVID-19 outbreak. Such information may help to understand how to support VHVs in future pandemics.MethodsA total of 152 VHVs from 13 sub-districts participated in the study, completing a 54-item questionnaire based on the Health Belief Model (HBM). The questionnaire included items assessing susceptibility, severity, benefits, barriers, self-efficacy, social distancing, and self-protective behavior. Stepwise multiple regression analysis determined which aspects of the HBM could explain VHVs’ self-protective behavior.ResultsThe VHV population sampled broadly reflected the main demographic characteristics of the local population, although VHVs were predominantly female. Self-protective behavior was significantly associated with VHVs’ role (higher perceived compliance for village leaders than non-leaders) but not with other demographic characteristics. Most VHVs reported high levels of self-efficacy (80.5%), adherence to social distancing measures (70.9%), and engagement in self-protective behavior (72.8%) against COVID-19. However, compliance with hand hygiene appeared to be suboptimal, suggesting room for improvement. Self-efficacy and perceived social distancing showed strong and moderate correlations with self-protective behavior against COVID-19 (r = 0.917, β = 0.819; and r = 0.561, β = 0.173 respectively; p < 0.001). The final HBM-based regression model accounted for 87.2% of the variance in VHVs’ self-protective behavior.ConclusionsThis study highlights the importance of VHVs’ self-efficacy for achieving self-protective behavior during a COVID-19 outbreak, and suggests that self-efficacy may help to overcome barriers that might otherwise hinder behaviors to mitigate against COVID-19. Policies that support self-efficacy should be implemented in any future pandemic, and steps to support VHVs with hand hygiene compliance and empower non-leaders to increase their self-protective behavior may also be helpful. Whilst the HBM provided a useful framework for interpretation, the final model was driven mainly by self-efficacy.

Focus on the Evolving Landscape: The Rise of Contactless Payments: A Post-Pandemic Trend

The payment industry as a whole may be significantly impacted. The Covid-19 pandemic has affected almost everything, causing a tsunami of changes in a variety of businesses. The epidemic has also led to a decrease in physical interaction amongst family members and an increase in social distancing behaviours. In many regions of the world, this has also led to a decrease in the use of currency. These are only a few instances of how the COVID-19 pandemic has drastically changed consumer behaviour and put retailers in danger of going out of business. The whole world nowadays is getting digitalized and payments through mobile phones have become the easiest mode of payment, replacing the primitive modes of payment. The technological advancements have made it necessary for today’s consumer to be dependent on mobile since it is faster, easier and handy to do the day-to-day transactions using their mobile phones. The Government of India initiative toward ‘Digital India’ and increased use of mobile and internet are the main reasons for the exponential growth in use of digital payment. As a result, this accelerated shift in consumer payment behavior from traditional banks and financial service providers to electronic payment. Digital payment firms such as Google pay, PhonePe, Paytm, Amazon Pay and others have seen nearly 50% spike in transactions through their digital wallets since the start of the covid-19 crisis. This has led them to focus on the payment instrument, which was disrupted by challenges due to know-your-customer (KYC) norms and the growth of Unified Payments Interface (UPI) in the country.

Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory.

Prevention behaviors are important in mitigating the transmission of COVID-19. The protection motivation theory (PMT) links perceptions of risk and coping ability with the act of adopting prevention behaviors. The goal of this research is to test the application of the PMT in predicting adoption of prevention behaviors during the COVID-19 pandemic. Two research objectives are achieved to explore motivating factors for adopting prevention behaviors. (1) The first objective is to identify variables that are strong predictors of prevention behavior adoption. A data-driven approach is used to train Bayesian belief network (BBN) models using results of a survey of participants reporting risk perceptions and prevention behaviors during the COVID-19 pandemic. A large set of models are generated and analyzed to identify significant variables. (2) The second objective is to develop models based on the PMT to predict prevention behaviors. BBN models that predict prevention behaviors were developed using two approaches. In the first approach, a data-driven methodology trains models using survey data alone. In the second approach, expert knowledge is used to develop the structure of the BBN using PMT constructs. Results demonstrate that trust and experience with COVID-19 were important predictors for prevention measure adoption. Models that were developed using the PMT confirm relationships between coping appraisal, threat appraisal, and protective behaviors. Data-driven and PMT-based models perform similarly well, confirming the use of PMT in this context. Predicting adoption of social distancing behaviors provides insight for developing policies duringpandemics.

The effect of a strict facial-mask policy on the spread of COVID-19 in Switzerland during the early phase of the pandemic

During several weeks in the second half of the year 2020, the cantons of Switzerland could choose to adopt the government-determined facial-mask policy, corresponding to mandatory facial-mask wearing on public transport, or a strict facial-mask policy, corresponding to mandatory facial-mask wearing on public transport and in all public or shared spaces where social distancing was not possible. We estimate the effect of introducing the strict facial-mask policy on the spread of COVID-19 in Switzerland during this first phase of the pandemic in 2020, using the cantonal heterogeneity in facial-mask policies. We adjust for social distancing behavior, weather, other non-pharmaceutical policies and further variables. We estimate a significant reduction in the expected spread of COVID-19 in the early pandemic if the strict facial-mask policy is adopted.

Curb the spread: Leveraging intensive longitudinal data to unravel within- and between-person processes in adherence to nonpharmaceutical interventions during COVID-19.

Adhering to behavioral recommendations and nonpharmaceutical interventions (NPIs) is a key to control COVID-19 infection rates. However, rates have decreased globally, and potentially modifiable determinants of ongoing adherence and their interaction with social and physical momentary environments are still poorly understood. Here, we comprehensively examine within-person variations and between-person differences in known behavioral determinants (capability and motivation), as well as the moderating role of situational variable environmental factors (opportunity) in predicting adherence to hygiene and social distancing behaviors. Ecological momentary assessment study over 6 months with monthly assessment bouts (4 days each and five daily assessments) in 623 German adults. Repeated daily assessments of capability, opportunity, motivation, and behavior (COM-B) model factors. Bayesian multilevel logistic regression models were estimated to examine main effects of COM-B factors and moderating effects of momentary environmental factors. Momentary adherence to NPIs was predicted by within-person changes in COM-B factors (motivation: intentions, goal conflict, and control beliefs; opportunities: regulations and norms). Between-person differences in capabilities (habit strength) and motivation (intentions and control beliefs) predicted adherence across situations. Situation-specific environmental factors moderated the motivation-behavior association (regulation measures increased; goal conflict and nonadherent others decreased the association). Individual momentary (within-person) and stable (between-person) motivation indicators predicted adherence. However, situational environmental factors such as regulations or norms have strong main effects and moderate the motivation-behavior translation. These findings have policy implications, supporting recent claims to not rely on the narrative of "personal responsibility," but instead combine health education measures to increase individual motivation with consistent regulation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Selling hope versus hate: the impact of partisan social media messaging on social distancing during the COVID-19 pandemic

PurposeThis study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.Design/methodology/approachThe authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.FindingsThe results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.Research limitations/implicationsAmid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.Practical implicationsThe findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.Originality/valueUsing Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

Pandemic boredom: Little evidence that lockdown-related boredom affects risky public health behaviors across 116 countries.

Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown") may result in behavioral fatigue that ultimately renders such policies ineffective. Boredom, specifically, has been singled out as one potential risk factor for noncompliance. We examined whether there was empirical evidence to support this concern during the COVID-19 pandemic in a large cross-national sample of 63,336 community respondents from 116 countries. Although boredom was higher in countries with more COVID-19 cases and in countries that instituted more stringent lockdowns, such boredom did not predict longitudinal within-person decreases in social distancing behavior (or vice versa; n = 8,031) in early spring and summer of 2020. Overall, we found little evidence that changes in boredom predict individual public health behaviors (handwashing, staying home, self-quarantining, and avoiding crowds) over time, or that such behaviors had any reliable longitudinal effects on boredom itself. In summary, contrary to concerns, we found little evidence that boredom posed a public health risk during lockdown and quarantine. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Social determinants of adherence to social distancing measures among adults during the COVID-19 pandemic

Purpose Understanding the factors that influence individuals’ adherence to social distancing is critical to effective policymaking in respiratory pandemics such as COVID-19. This study aims to explore the role of social factors in relation to social distancing measures. Design/methodology/approach Stratified convenience sampling was used in this survey research, involving 450 adults residing in both rural and urban areas of Aligodarz County, Lorestan, Iran. Findings The findings showed that approximately 14% of participants did not adhere to any of the assessed social distancing behaviors, while only around 30% adhered to all four assessed behaviors. On average, participants reported having 5.13 (SD = 3.60) close physical contact within the 24 h prior to completing the questionnaire. Bridging social capital and gender emerged as the most frequently observed predictors across the assessed social distancing measures. Additionally, age, employment status and residential setting were identified as influential factors for some of the evaluated measures. Originality/value This study contributes to the field by highlighting that the likelihood of non-adherence to social distancing measures tends to increase among male participants, those aged above 60, employed individuals, urban residents and those with a higher level of bridging social capital.

Local Norms, Political Partisanship, and Pandemic Response: Evidence from the United States

A growing literature focuses on the role of political partisanship in shaping attitudes and behaviors during the COVID-19 pandemic in the United States. We provide a different perspective, by developing a theory of how partisanship interacts with another important factor that shapes how people think and behave in the context of the pandemic—local norms. Using a combination of survey data and a survey experiment, we demonstrate the importance of norms in shaping both support for social distancing and reported social-distancing behavior, particularly amongst independents and Republicans. We then confirm that perceptions of norms are indeed tied to what is actually happening around people—that their partisanship does not blind them to reality. Our analysis is the first to examine how partisanship and norms interact with each other and helps to explain why partisan differences matter more in some places than in others.

Communicating scientific uncertainty in the early stages of the COVID-19 pandemic: A message experiment.

The World Health Organization (WHO) officially declared COVID-19 a pandemic on March 11, 2020. It was a time of significant uncertainty as experts were not yet certain whether social distancing behaviors were necessary to slow the spread of the virus. Some public communicators opted to acknowledge uncertainty based on the limited evidence, whereas others downplayed uncertainty. This situation provided researchers with an opportunity to advance theory by explicating and testing cognitive responses to message uncertainty. Immediately following the WHO declaration (March 13-19, 2020), U.S. adults (N = 1186) were randomly assigned to one of six conditions in a 2 (message uncertainty: low, high) × 3 (argument support: expert, threat, precedent) between-participants experiment. Overall, perceived uncertainty negatively mediated the impact of message uncertainty on intentions. However, participant education was a key moderator. For those with more than a high school education, uncertain messages were related to higher intentions to social distance through increased critical reflection. For those with a high school education or less, uncertain messages were related to lower intentions through decreased message credibility.

Impact of social distancing on disease transmission risk in the context of a pandemic.

Changes in pedestrian dynamics caused by social distancing policies place new demands on pedestrian motion modeling during the pandemic. This study summarizes pedestrian movement characteristics during the pandemic, based on which, the traditional floor-field cellular automata model was improved by introducing two floor fields related to pedestrian density to simulate social distancing in crowded places. Especially, the cumulative density field guides pedestrians in route selection, thereby compensating for the limitation of the previous models in which only local repulsion was considered. By selecting an appropriate combination of parameters, the desired social distancing behavior can be observed. Then, the rationality of our model is verified by the fundamental diagram. Moreover, to assess the influences of social distancing on the risk of disease transmission, we considered both person-person transmission and environment-person transmission. The simulation results show that although social distancing is effective in preventing interpersonal transmission, an increase in environmental transmission may somewhat offset this effect. We also examined the influence of individual motion heterogeneity on infection spread and found that the containment was the best when only patients complied with the social distancing restriction. The trade-off between safety and efficiency associated with social distancing was also initially explored in this study.

Predicting Support for COVID-19 Policies with Partisan Media Use and Negative Emotion: Evidence from the U.S. and South Korea

While prior scholarship on preventive health behaviors has focused on identifying their cognitive predictors, emerging literature suggests that emotion may also be an important determinant of health behaviors. Drawing from appraisal theory and the discrete-emotions models of affect, the current study establishes emotional pathways to support for COVID-19 policies and social distancing behavior. Analyses of survey data collected in the U.S. and South Korea demonstrate that negative emotion experienced following partisan media use increases support for COVID-19 policies and social distancing behavior. Particularly, fear and anxiety toward the pandemic emerged as strong mediators in both countries while sadness also mediated the pathways in the U.S.