Estimating perceptions of the relative COVID risk of different social-distancing behaviors from respondents' pairwise assessments.

How do people compare the effectiveness of different social-distancing behaviors in avoiding the spread of viral infection? During the COVID pandemic, we showed 676 online respondents in the United States, United Kingdom, and Israel 30 pairs of brief videos of acquaintances meeting. We asked respondents to indicate which video from each pair depicted greater risk of COVID infection. Their choices imply that on average, respondents considered talking 14 min longer to be as risky as standing 1 foot closer, being indoors as standing 3 feet closer, being exposed to coughs or sneezes as 3 to 4 ft closer, greeting with a hug as 7 ft closer, and with a handshake as 5 ft closer. Respondents considered properly masking as protecting the wearer and interlocutor equally, removing the mask entirely or only when talking as standing 4 to 5 ft closer but wearing it under the nose as only 1 to 2 ft closer. We provide weaker evidence on beliefs about the interaction effects of different behaviors. In a more limited, ex post analysis, we find little evidence of differences in beliefs across subpopulations.

Sociocultural determinants of global mask-wearing behavior.

Behavioral responses influence the trajectories of epidemics. During the COVID-19 pandemic, nonpharmaceutical interventions (NPIs) reduced pathogen transmission and mortality worldwide. However, despite the global pandemic threat, there was substantial cross-country variation in the adoption of protective behaviors that is not explained by disease prevalence alone. In particular, many countries show a pattern of slow initial mask adoption followed by sharp transitions to high acceptance rates. These patterns are characteristic of behaviors that depend on social norms or peer influence. We develop a game-theoretic model of mask wearing where the utility of wearing a mask depends on the perceived risk of infection, social norms, and mandates from formal institutions. In this model, increasing pathogen transmission or policy stringency can trigger social tipping points in collective mask wearing. We show that complex social dynamics can emerge from simple individual interactions and that sociocultural variables and local policies are important for recovering cross-country variation in the speed and breadth of mask adoption. These results have implications for public health policy and data collection.

Attitudes, Knowledge, and Risk Perceptions of Patients who Received Elective Genomic Testing as a Clinical Service.

BACKGROUND: Elective genomic testing (EGT) is increasingly available clinically. Limited real world evidence exists about attitudes and knowledge of EGT recipients. METHODS: After web-based education, patients who enrolled in an EGT program at a rural nonprofit healthcare system completed a survey that assessed attitudes, knowledge, and risk perceptions. RESULTS: From August 2020 to April 2022, 5,920 patients completed the survey and received testing. Patients most frequently cited interest in learning their personal disease risks as their primary motivation. Patients most often expected results to guide medication management (74.0%), prevent future disease (70.4%), and provide information about risks to offspring (65.4%). Patients were "very concerned" most frequently about the privacy of genetic information (19.8%) and how well testing predicted disease risks (18.0%). On average, patients answered 6.7 of 11 knowledge items correctly (61.3%). They more often rated their risks for colon and breast cancers as lower rather than higher than the average person, but more often rated their risk for a heart attack as higher rather than lower than the average person (all p<0.001). CONCLUSION: Patients pursued EGT because of the utility expectations, but often misunderstood the test's capabilities.

Contrasting Objective and Perceived Risk: Predicting COVID-19 Health Behaviors in a Nationally Representative U.S. Sample.

BACKGROUND: Individuals confronting health threats may display an optimistic bias such that judgments of their risk for illness or death are unrealistically positive given their objective circumstances. PURPOSE: We explored optimistic bias for health risks using k-means clustering in the context of COVID-19. We identified risk profiles using subjective and objective indicators of severity and susceptibility risk for COVID-19. METHODS: Between 3/18/2020-4/18/2020, a national probability sample of 6,514 U.S. residents reported both their subjective risk perceptions (e.g., perceived likelihood of illness or death) and objective risk indices (e.g., age, weight, pre-existing conditions) of COVID-19-related susceptibility and severity, alongside other pandemic-related experiences. Six months later, a subsample (N = 5,661) completed a follow-up survey with questions about their frequency of engagement in recommended health protective behaviors (social distancing, mask wearing, risk behaviors, vaccination intentions). RESULTS: The k-means clustering procedure identified five risk profiles in the Wave 1 sample; two of these demonstrated aspects of optimistic bias, representing almost 44% of the sample. In OLS regression models predicting health protective behavior adoption at Wave 2, clusters representing individuals with high perceived severity risk were most likely to report engagement in social distancing, but many individuals who were objectively at high risk for illness and death did not report engaging in self-protective behaviors. CONCLUSIONS: Objective risk of disease severity only inconsistently predicted health protective behavior. Risk profiles may help identify groups that need more targeted interventions to increase their support for public health policy and health enhancing recommendations more broadly.

As we move into an endemic stage of the COVID-19 pandemic, understanding engagement in health behaviors to curb the spread of disease remains critically important to manage COVID-19 and other health threats. However, peoples' perceptions about their risk of getting sick and having severe outcomes if they do fall ill are subject to bias. We studied a nationally representative probability sample of over 6,500 U.S. residents who completed surveys immediately after the COVID-19 pandemic began and approximately 6 months later. We used a computer processing (i.e., machine learning) approach to categorize participants based on both their actual risk factors for COVID-19 and their subjective understanding of that risk. Our analysis identified groups of individuals whose subjective perceptions of risk did not align with their actual risk characteristics. Specifically, almost 44% of our sample demonstrated an optimistic bias: they did not report higher risk of death from COVID-19 despite having one or more well-known risk factors for poor disease outcomes (e.g., older age, obesity). Six months later, membership in these risk groups prospectively predicted engagement in health protective and risky behaviors, as well as vaccine intentions, demonstrating how early risk perceptions may influence health behaviors over time.

Variances in Smoking Expectancies Predict Moment-to-Moment Smoking Behaviors in Everyday Life.

BACKGROUND: Many policy decisions about tobacco control are predicated on rational choice models, which posit (1) that smokers are aware of the risks of cigarettes and (2) that perceived risks have a consistent influence on continued smoking behavior. However, research shows that beliefs about smoking may be vulnerable to changes in internal and external contexts. METHODS: Using ecological momentary assessment, we tested this by measuring how smokers' (N = 52) beliefs about smoking varied over time. Four times per day over 1 week, participants responded to measures of smoking intentions, risk perceptions, mood and social outcome expectancies, and internal and external contextual factors. RESULTS: We analyzed this data using multilevel modeling, finding that both smoking intentions, risk perceptions, and expectancies differed between participants as well as between moments. CONCLUSION: Risk perceptions and mood expectancies were a significant predictor of intentions to smoke in the next 30 min, illustrating the importance of these beliefs in decisional processes. This study was preregistered at the Open Science Foundation: https://osf.io/wmv3s/?view_only=71ad66d3ce3845fcb3bf2b9860d820c9 . Our analytic plan was not preregistered.

Mandatory COVID Vaccination: Perspectives from Graduate Allied Health Students at a Mid-size University in the United States.

Because many students enrolled in Allied Health programs are on track to becoming health practitioners or clinicians and frontline workers who would become critical sources of information for patients it is critical to understand their perspectives about mandatory COVID-19 vaccination. Results: COVID-19 Risk Perception. A significant majority of the respondents had high or strongly high-risk perception of COVID-19, 82(56.6%) strongly agreed and 29(20%) agreed with the statement, COVID-19 is a public health issue (P-value < 0.0001), Comparing by demographic characteristics: African American/Black compared with other races (P-Value = 0.0462), Master of Public Health program, compared with all other graduate programs (P-Value = 0.0140) and fully vaccinated and fully vaccinated and boosted compared with incomplete or not-vaccinated for COVID-19 (P-value = 0.0059) had higher COVID-19 risk perceptions. strongly high-risk perception of COVID-19, 82(56.6%) strongly agreed and 29(20%) agreed with the statement, COVID-19 is a public health issue (P-value < 0.0001), Comparing by demographic characteristics: African American/Black compared with other races (P-Value = 0.0462), Master of Public Health program, compared with all other graduate programs (P-Value = 0.0140) and fully vaccinated and fully vaccinated and boosted compared with incomplete or not-vaccinated for COVID-19 (P-value = 0.0059) had higher COVID-19 risk perceptions.

Assessing key behavioural theories of drought risk adaptation: Evidence from rural Kenya.

The Horn of Africa Drylands are increasingly experiencing severe droughts, which impose a threat on traditional livelihood strategies. Understanding adaptation behavior in rural communities is key to helping reduce the impact of these droughts. We investigate adaptation behavior by assessing four established economic and social psychological theories on decision making under risk: expected utility theory (EUT), rank dependent utility theory (RDU), protection motivation theory (PMT), and theory of planned behavior (PMT). To measure adaptation behavior and the theory constructs, we conducted a household survey in Kenya (N = 502). Regression analysis shows that the economic theories (EUT and RDU) have the best fit for our data. Risk and time preferences are found to play an important role in adaptation decisions. An analysis of differences in decision making for distinct types of adaptation measures shows that risk averse (agro-)pastoralists are more likely to implement adaptation measures that are adjustments to their current livelihood practices, and less willing to invest in adaptation measures that require a shift to other livelihood activities. Moreover, we find significant effects for elements of the social psychological theories (PMT and TPB). A person's belief in their own ability to implement an adaptation measure (perceived self-efficacy) and adaptation by family and friends are important factors in explaining adaptation decisions. Finally, we find that the type of adaptation measures that people implement is influenced by, among others, gender, education level, access to financial resources, and access to government support or aid. Our analysis gives insights into the drivers of individual adaptation decisions, which can enhance policies promoting adaptation of dryland communities.

Advancing the communication of genetic risk for cardiometabolic diseases: a critical interpretive synthesis.

BACKGROUND: Genetics play an important role in risk for cardiometabolic diseases-including type 2 diabetes, cardiovascular disease and obesity. Existing research has explored the clinical utility of genetic risk tools such as polygenic risk scores-and whether interventions communicating genetic risk information using these tools can impact on individuals' cognitive appraisals of disease risk and/or preventative health behaviours. Previous systematic reviews suggest mixed results. To expand current understanding and address knowledge gaps, we undertook an interpretive, reflexive method of evidence synthesis-questioning the theoretical basis behind current interventions that communicate genetic risk information and exploring how the effects of genetic risk tools can be fully harnessed for cardiometabolic diseases. METHODS: We obtained 189 records from a combination of database, website and grey literature searches-supplemented with reference chaining and expert subject knowledge within the review team. Using pre-defined critical interpretive synthesis methods, quantitative and qualitative evidence was synthesised and critiqued alongside theoretical understanding from surrounding fields of behavioural and social sciences. FINDINGS: Existing interventions communicating genetic risk information focus predominantly on the "self", targeting individual-level cognitive appraisals, such as perceived risk and perceived behavioural control. This approach risks neglecting the role of contextual factors and upstream determinants that can reinforce individuals' interpretations of risk. It also assumes target populations to embody an "ascetic subject of compliance"-the idea of a patient who strives to comply diligently with professional medical advice, logically and rationally adopting any recommended lifestyle changes. We developed a synthesising argument-"beyond the ascetic subject of compliance"-grounded in three major limitations of this perspective: (1) difficulty applying existing theories/models to diverse populations, (2) the role of familial variables and (3) the need for a life course perspective. CONCLUSIONS: Interventions communicating genetic risk information should account for wider influences that can affect individuals' responses to risk at different levels-including through interactions with their family systems, socio-cultural environments and wider health provision. PROTOCOL REGISTRATION: PROSPERO CRD42021289269.

A novel "HIV salience and Perception" scale is associated with PrEP dispensing and adherence among adolescent girls and young women in Kampala, Uganda.

Low perceived HIV risk is a barrier to effective pre-exposure prophylaxis (PrEP) use among African adolescent girls and young women (AGYW). Single-item risk perception measures are stigmatizing and alienating to AGYW and may not predict PrEP use. There is a need for a tool capturing domains of perceived HIV risk and salience that align with PrEP use among AGYW. This HIV PrEP study was conducted in Kampala, Uganda. We developed and piloted the 9-item "HIV Salience and Perception" (HPS) scale (range: 9-36); higher scores indicate beliefs of higher vulnerability to HIV. We administered the scale to Ugandan AGYW participating in an ongoing cohort study at enrollment, one, three and six months. PrEP dispensing was measured quarterly and adherence was measured daily via Wisepill (high adherence: ≥80% of expected pill bottle openings). We assessed scale performance and used generalized estimating equations to determine associations between scale score and PrEP use. Among 499 AGYW, 54.1% of our sample was ≥ 20 years (range:16-25). The median HPS score was 18 (range:8-33; α = 0.77). Higher score was associated with PrEP dispensing (aRR = 1.07 per point increase; 95% CI = 1.01-1.13; p-value = 0.02) in the overall cohort and among only those ≥ 20 years (aRR = 1.10; 95% CI = 1.03-1.19; p-value = 0.01). We did not observe an association between scale score and PrEP adherence. AGYW scoring higher on a novel HPS scale were more likely to initiate and obtain PrEP refills through 6 months. This scale may capture drivers of PrEP dispensing and could inform PrEP delivery and counseling for AGYW.

Public Concern about Water Safety, Weather, and Climate: Insights from the World Risk Poll.

Water safety refers to the quality of one's drinking water and whether it lacks dangerous contaminants. Limited access to safe water is projected to impact approximately 5 billion people worldwide by 2050. Climate change and worsening severe weather events pose increasing threats to global water safety. However, people may not perceive links between climate change and water safety, potentially undermining their willingness to implement behaviors that improve water safety. Existing studies on water safety risk perceptions have mostly been conducted in single-country contexts, which limits researchers' ability to make cross-national comparisons. Here, we assessed the extent to which people's severe weather concern and climate change concern predict their water safety concern. Our analyses used survey data from the 142-country 2019 Lloyd's Register Foundation World Risk Poll, including 21 low-income and 34 lower-middle-income countries. In mixed-effects models, severe weather concern was significantly more predictive of water safety concern than was climate change concern, although both resulted in positive associations. Worldwide, this finding was robust, insensitive to key model specifications and countries' varying protection against unsafe drinking water. We suggest communicators and policymakers improve messaging about water safety and other environmental threats by explaining how they are impacted by worsening severe weather.

"I don't know what I'm feeling for": young women's beliefs about breast cancer risk and experiences of breast awareness.

BACKGROUND: Younger women are often diagnosed with advanced breast cancer. Beliefs about risk are instrumental in motivating many health protective behaviours, but there may be confusion around which behaviour is appropriate to detect breast cancer earlier. Breast awareness, defined as an understanding of how the breasts look and feel so changes can be identified early, is widely recommended. In contrast, breast self-examination involves palpation using a specified method. We aimed to investigate young women's beliefs about their risk and experiences of breast awareness. METHODS: Thirty-seven women aged 30-39 years residing in a North West region of England with no family or personal history of breast cancer participated in seven focus groups (n = 29) and eight individual interviews. Data were analysed using reflexive thematic analysis. RESULTS: Three themes were generated. "Future me's problem" describes why women perceive breast cancer as an older woman's disease. Uncertainty regarding checking behaviours highlights how confusion about self-checking behaviour advice has resulted in women infrequently performing breast checks. Campaigns as a missed opportunity highlights the potential negative effects of current breast cancer fundraising campaigns and the perceived absence of educational campaigning about breast cancer for this demographic. CONCLUSIONS: Young women expressed low perceived susceptibility to developing breast cancer in the near future. Women did not know what breast self-checking behaviours they should be performing and expressed a lack of confidence in how to perform a breast check appropriately due to limited knowledge about what to look and feel for. Consequently, women reported disengagement with breast awareness. Defining and clearly communicating the best strategy for breast awareness and establishing whether it is beneficial or not are essential next steps.

The perceived risks of e-cigarettes to others and during pregnancy.

BACKGROUND: Public Health England has concluded that e-cigarettes are much safer than cigarettes for the user and for secondhand exposures, but it has not reached a definitive conclusion regarding pregnancy risks. How people perceive the risks to others is less well understood. METHODS: This study uses an online UK sample of 1041 adults to examine perceived e-cigarette risks to others and during pregnancy. The survey examines relative risk beliefs of e-cigarettes compared to cigarettes and the percentage reduction in harm provided by e-cigarettes. RESULTS: A majority of the sample believes that secondhand exposure to e-cigarette vapors poses less risk than secondhand smoke from cigarettes, but almost two-fifths of the sample equate the secondhand risks from e-cigarettes to those from cigarettes. There is somewhat greater perception of e-cigarette risks during pregnancy compared to beliefs regarding secondhand risks of vaping. About two-fifths of the population believe that e-cigarettes are less risky than cigarettes during pregnancy. Respondents believe that e-cigarettes reduce the harm to others by 39% and the harm to babies by 36%. CONCLUSION: There is a general sense that e-cigarettes pose less risk than cigarettes, but there is a need for further risk communication regarding comparative e-cigarette risks.

Perceptions of the health impacts of climate change among Canadians.

BACKGROUND: Understanding public perceptions of the health risks of climate change is critical to inform risk communication and support the adoption of adaptive behaviours. In Canada, very few studies have explored public understandings and perceptions of climate impacts on health. The objective of this study was to address this gap by exploring perceptions of the link between climate change and health. METHODS: We conducted a survey of Canadians (n = 3,014) to address this objective. The 116-question survey measured prior consideration of the link between climate change and health, affective assessment of climate health impacts, unprompted knowledge of climate health impacts, and concern about a range of impacts. ANOVA tests were used to assess differences among sociodemographic groups. RESULTS: Overall, Canadian's have a similar level of concern about health impacts of climate change compared with concern about other impacts (e.g. biophysical, economic, and national security). Among health-related impacts, respondents were more concerned about impacts on water, food and air quality, compared with impacts on mental health, infectious diseases and heat-related illnesses. There were differences among sociodemographic groups; women were significantly more concerned than men about all of the health-related impacts; respondents with a high school level of education were significantly less concerned about all health-related impacts compared with respondents with more education; and respondents on the political left were more concerned with those in the political centre, who were more concerned than those on the political right. CONCLUSION: There is emerging literature suggesting that framing communication around climate change in terms of the health risks it poses may increase perceptions of the proximity of the risks. These results suggest that it is important to be specific in the types of health risks that are communicated, and to consider the concerns of the target sociodemographic groups. The differential knowledge, awareness, and concern of climate health impacts across segments of the Canadian population can inform targeted communication and engagement to build broader support for adaptation and mitigation measures.

The influence of COVID-19 risk perception and vaccination status on the number of social contacts across Europe: insights from the CoMix study.

BACKGROUND: The SARS-CoV-2 transmission dynamics have been greatly modulated by human contact behaviour. To curb the spread of the virus, global efforts focused on implementing both Non-Pharmaceutical Interventions (NPIs) and pharmaceutical interventions such as vaccination. This study was conducted to explore the influence of COVID-19 vaccination status and risk perceptions related to SARS-CoV-2 on the number of social contacts of individuals in 16 European countries. METHODS: We used data from longitudinal surveys conducted in the 16 European countries to measure social contact behaviour in the course of the pandemic. The data consisted of representative panels of participants in terms of gender, age and region of residence in each country. The surveys were conducted in several rounds between December 2020 and September 2021 and comprised of 29,292 participants providing a total of 111,103 completed surveys. We employed a multilevel generalized linear mixed effects model to explore the influence of risk perceptions and COVID-19 vaccination status on the number of social contacts of individuals. RESULTS: The results indicated that perceived severity played a significant role in social contact behaviour during the pandemic after controlling for other variables (p-value < 0.001). More specifically, participants who had low or neutral levels of perceived severity reported 1.25 (95% Confidence intervals (CI) 1.13 - 1.37) and 1.10 (95% CI 1.00 - 1.21) times more contacts compared to those who perceived COVID-19 to be a serious illness, respectively. Additionally, vaccination status was also a significant predictor of contacts (p-value < 0.001), with vaccinated individuals reporting 1.31 (95% CI 1.23 - 1.39) times higher number of contacts than the non-vaccinated. Furthermore, individual-level factors played a more substantial role in influencing contact behaviour than country-level factors. CONCLUSION: Our multi-country study yields significant insights on the importance of risk perceptions and vaccination in behavioral changes during a pandemic emergency. The apparent increase in social contact behaviour following vaccination would require urgent intervention in the event of emergence of an immune escaping variant.

Which measures of perceived vulnerability predict protective intentions-and when?

Assessing perceived vulnerability to a health threat is essential to understanding how people conceptualize their risk, and to predicting how likely they are to engage in protective behaviors. However, there is limited consensus about which of many measures of perceived vulnerability predict behavior best. We tested whether the ability of different measures to predict protective intentions varies as a function of the type of information people learn about their risk. Online participants (N = 909) read information about a novel respiratory disease before answering measures of perceived vulnerability and vaccination intentions. Type-of-risk information was varied across three between-participant groups. Participants learned either: (1) only information about their comparative standing on the primary risk factors (comparative-only), (2) their comparative standing as well as the base-rate of the disease in the population (+ base-rate), or (3) their comparative standing as well as more specific estimates of their absolute risk (+ absolute-chart). Experiential and affective measures of perceived vulnerability predicted protective intentions well regardless of how participants learned about their risk, while the predictive ability of deliberative numeric and comparative measures varied based on the type of risk information provided. These results broaden the generalizability of key prior findings (i.e., some prior findings about which measures predict best may apply no matter how people learn about their risk), but the results also reveal boundary conditions and critical points of distinction for determining how to best assess perceived vulnerability.

A Comparison of Women's and Men's Web-Based Information-Seeking Behaviors About Gender-Related Health Information: Web-Based Survey Study of a Stratified German Sample.

BACKGROUND: Gender-sensitive approaches to health communication aim to integrate gender perspectives at all levels of communication, as an individual's biological sex and socially assigned gender identity have an impact on whether and how one acquires what type of health information. Due to the fast and low-cost opportunity to search for a wide range of information, the internet seems to be a particularly suitable place for gender-related health information about diseases of sex-specific organs and diseases where biological differences are associated with different health risks. OBJECTIVE: This study aims to inform gender-related information provision and acquisition in 2 ways. The first objective was to provide a theory-driven analysis of web-based health information-seeking behavior (HISB) regarding gender-related issues. Therefore, the Planned Risk Information Seeking Model (PRISM), which is one of the most integrative models of HISB, was adapted and applied. Second, we asked for gender-specific motivational determinants of gender-related web-based HISB comparing the predictors in the groups of women and men. METHODS: Data from a stratified web-based survey of the German population (N=3000) explained gender-related web-based HISB and influencing patterns comparing women and men. The applicability of PRISM to gender-related web-based HISB was tested using structural equation modeling and a multigroup comparison. RESULTS: The results revealed PRISM as an effective framework for explaining gender-related web-based HISB. The model accounted for 28.8% of the variance in gender-related web-based HISB. Gender-related subjective norms provided the most crucial explanatory power, followed by perceived seeking control. The multigroup comparison revealed differences in the model's explanatory power and the relevance of predictors of gender-related web-based HISB. The share of explained variances of web-based HISB is higher in men than in women. For men, norms were a more relevant promoting factor, whereas web-based HISB of women was more strongly associated with perceived seeking control. CONCLUSIONS: The results are crucial for gender-sensitive targeting strategies and suggest gender-related health information interventions that address gender-related subjective norms. Furthermore, programs (eg, web-based learning units) should be developed and offered to improve individuals' (perceived) abilities to perform web-based searches for health information, as those with higher control beliefs are more likely to access web-based information.

Perceived risk, emotions, and stress in response to COVID-19: The interplay of media use and partisanship.

Relationships between risk perceptions, emotions, and stress are well-documented, as are interconnections between stress, emotion, and media use. During the early COVID-19 pandemic, the public responded psychologically to the threat posed by the pandemic, and frequently utilized media for information and entertainment. However, we lack a comprehensive picture of how perceived risk, emotion, stress, and media affected each other longitudinally during this time. Further, although response to the pandemic was highly politicized, research has yet to address how partisan affiliation moderated relationships between risk, emotion, stress, and media use over time. This three-wave (N = 1021) panel study assessed the interplay of risk, emotion, stress, and media use for Americans with different political affiliations between March and May of 2020. Findings indicate that perceived risk, emotion, and stress at Time 1 predicted media use at Time 2, with predictors varying by type of media. Use of entertainment media and social/mobile media predicted later stress (Time 3), but news consumption did not. Later risk perceptions (Time 3) were not influenced by media use at Time 2. The predictors and consequences of different types of media use were notably different for Republicans and Democrats. In particular, risk perceptions predicted greater news use among Democrats but greater entertainment media use among Republicans. Moreover, social/mobile media use resulted in perceiving the risks of COVID-19 as less serious for Republicans while increasing stress over time for Democrats.

Three dimensions of COVID-19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis.

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over 502 million geotagged tweets posted by over 4.9 million Twitter users from January 2020 to December 2021 in the United States. We examined correlations between risk perception indicator scores and county-level SDOH. The three dimensions of risk perceptions demonstrate different trajectories. Perceived severity maintained a high level throughout the study period. Perceived susceptibility and negative emotion peaked on March 11, 2020 (COVID-19 declared global pandemic by WHO) and then declined and remained stable at lower levels until increasing once again with the Omicron period. Relative frequency of tweet posts on risk perceptions did not closely follow epidemic trends of COVID-19 (cases, deaths). Users from socioeconomically vulnerable counties showed lower attention to perceived severity and susceptibility of COVID-19 than those from wealthier counties. Examining trends in tweets regarding the multiple dimensions of risk perceptions throughout the COVID-19 pandemic can help policymakers frame in-time, tailored, and appropriate responses to prevent viral spread and encourage preventive behavior uptake in the United States.

Individual characteristics associated with perceptions of control over mortality risk and determinants of health effort.

People who believe they have greater control over health and longevity are typically more likely to invest in their long-term health. Investigating individual differences in perceived control over risk and exploring different determinants of health effort may help to tailor health promotion programs to more effectively encourage healthy behaviors. From a sample of 1500 adults, we measured perceived control over 20 causes of death, overall perceived uncontrollable mortality risk (PUMR), state-level optimism, self-reported health effort, and the accuracy of estimations of avoidable deaths. We found individual differences in perceptions of control over specific causes of death based on age, gender, and income. PUMR was predicted by socioeconomic variables expected to influence exposure to risk and resource availability. Higher levels of PUMR, not perceptions of control over specific causes of death, predicted self-reported health effort. The strength of relationship between PUMR and lower health effort was not moderated by state-level optimism. Age and education both positively predicted greater accuracy in assessing the prevalence of avoidable deaths. We suggest that PUMR may capture people's "general sense" of mortality risk, influenced by both exposure to hazards and the availability of resources to avoid threats. Conversely, perceived control over specific risks may involve more deliberate, considered appraisals of risk. This general sense of risk is thought to play a more notable role in determining health behaviors than specific assessments of control over risk. Further study is needed to investigate the degree to which PUMR accurately reflects objective measures of individual risk.

Public risk perceptions, emotions and behaviours under a major epidemic: A structural equation model analysis.

AIM: To explore the relationships between public risk perceptions, emotions and behaviours during a major epidemic. DESIGN: Exploratory cross-sectional design. METHODS: The 701 subjects were surveyed using self-administered questionnaires, including the General Information Questionnaire, Public Risk Perceptions Questionnaire, Public Emotions Questionnaire and Public Behaviours Questionnaire. The results were analysed using structural equation modelling, and mediated effects were probed at the same time. RESULTS: The median of the total scores of the Public Risk Perceptions Questionnaire was 70, the median of the total scores of the Public Emotions Questionnaire was 65 and the median of the total scores of the Public Behaviours Questionnaire was 83. Spearman's correlation analysis showed that the correlation coefficient ρ between public risk perceptions and emotions was 0.26 (p < 0.01); the correlation coefficient ρ between risk perceptions and behaviours was 0.36 (p < 0.01); and the correlation coefficient ρ between emotions and behaviours was 0.37 (p < 0.01). After many rounds of correction, the final model was established, the fit was good, and the results of the mediating effect analysis showed that the level of public risk perceptions under a major epidemic had a direct positive effect on public emotions (ß = 0.41, p < 0.01) and public behaviours (ß = 0.51, p < 0.01). The level of public risk perceptions also had an indirect positive effect on behaviours by affecting public emotions (ß = 0.11), while public emotions had a direct positive effect on public behaviours (ß = 0.27, p < 0.01). CONCLUSIONS: Our findings revealed that public perceptions and public emotions directly influenced public behaviours. Additionally, public perceptions can indirectly influence public behaviours through public emotions.