The Effects of Governmental and Individual Predictors on COVID-19 Protective Behaviors in China: A Path Analysis Model

Impact of video information intervention on public perceptions of waste-to-energy incineration facilities: An information processing theory perspective

This innovative study investigates the novel realm of video information interventions and their transformative role in shaping public perceptions of waste-to-energy (WTE) incineration facilities. A behavioral survey experiment with 127 participants aims to uncover unique shifts in attitudes toward WTE incineration facilities, offering fresh insights into the impact of video information interventions on public perspectives. The study reveals two distinctive outcomes. Firstly, it highlights the unprecedented influence of video information intervention in shaping public perceptions of WTE incineration facilities. This intervention emerges as a dynamic force adept at presenting a nuanced and balanced view that mitigates potential negative impacts and encourages a more comprehensive understanding of the technology. Secondly, a novel perspective is introduced on the relationship between public perception and acceptance, emphasizing the intervention's innovative role in reshaping opinions. The research, therefore, signifies a major change in the governance of potentially risky facilities. The empirical evidence highlights the novelty of video information interventions as crucial tools for effective risk communication and community engagement. By paving the way for positive public perceptions through innovative interventions, the study contributes to the sustainable development and acceptance of such facilities as WTE incineration, marking a significant advancement in societal and environmental goals.

Differences in depression prevalence among older adults in China before and during the COVID-19 pandemic: a systematic review and meta-analysis

Objective

Changes in the prevalence of depression during the COVID-19 (Coronavirus disease 2019) pandemic among older adults in China have not been systematically evaluated. We aimed to systematically summarize existing evidence to conduct a meta-analysis to quantify changes in the prevalence of depression before and during the COVID-19 pandemic.

Methods

The PubMed, Web of Science, Scopus, Embase, PsycINFO, China National Knowledge Infrastructure (CNKI), WangFang Data, CQVIP, and China Biology Medicine disc (CBMdisc) databases were searched from January 1, 2017, to November 20, 2024. Studies reporting the prevalence of depression among Chinese individuals aged 60 or older using validated diagnostic tools were included. A random-effects model was applied to estimate pooled prevalence, with subgroup analyses performed by demographic and socio-economic factors. Relative risks (RR) were calculated to compare prevalence across different pandemic stages.

Results

A total of 101 studies involving 264,758 participants were included. The pooled prevalence of depression among older adults was 25.8% (95% CI [21.7-29.9]) from 2017-2019 and 23.8% (95% CI [19.8-27.8]) from 2020-2023. During the early pandemic stage (January-April 2020), prevalence significantly decreased (RR = 0.849, P < .001) but increased in later stages, reaching 24.4% by 2021-2023. The prevalence of depression among older adults during the COVID-19 pandemic showed a significant increasing trend (P trend  < .001). Subgroup analyses revealed higher prevalence among females, rural residents, individuals with lower education levels, and those living alone.

Conclusion

Depression prevalence among older adults in China decreased during the early pandemic response but showed an increasing trend over time, reflecting the complex mental health impact of prolonged public health measures. Effective interventions are needed to address the specific needs of vulnerable subgroups during and beyond public health crises.

Unpacking interplays between competitiveness, cooperativeness, and social comparison orientation: A network psychometric approach and replication

Emerging evidence highlights the role of social comparison in competition and cooperation, yet the dynamics among competitiveness, cooperativeness, and social comparison orientation (SCO) remain underexplored. In the present study, we sought to unravel these complex interplays employing graphical Gaussian models (GGMs) and characterize the network structures utilizing cross-sectional data derived from 1073 Chinese participants. A pre-registered independent sample (n = 1348) served to examine the replicability and robustness of our initial findings. Moreover, we explored the Bayesian networks (i.e., directed acyclic graphs) to delve into their probabilistic directed dependencies. Our analysis identified an interpersonal co-opetition network where SCO bridges competitiveness and cooperativeness, emphasizing the key influence of the desire to surpass others. We also found a significant gender effect on the levels of these orientations but not on the network patterns. Additionally, the replication sample offered validation for the resultant network structure and its key nodes. In sum, these findings provide a new insight into the symbiotic relationship between competitiveness and cooperativeness within the framework of social comparison, offering significant theoretical and practical implications.

Risk Perception, Cooperation, and Emotional Distress During the COVID-19 Pandemic: Exploring Adaptive Risk Perception

During the COVID-19 pandemic, while risk perception may promote public cooperation with pandemic prevention, it may also increase emotional distress and thus endanger mental health. This study aimed to examine whether there is an adaptive risk perception pattern that fits both needs of pandemic control and mental health protection. Two waves of Chinese participants (N sample 1 = 1633, N sample 2 = 1899) completed the Scale of Pandemic Risk Perception, the Scale of Public Cooperation with Pandemic Prevention, the Epidemic Worry Scale, and the Positive and Negative Affective Schedule during Feb 3rd to 5th, and during Feb 18th to 20th, 2021 respectively. Four risk perception profiles were identified by using latent profile analysis based on pandemic risk perception. Regression mixture models found that individuals in the perceived-controllable-high-perceived-risk profile were the most cooperative and reported the least worries and negative affect. The perceived-uncontrollable-high-perceived-risk profile demonstrated high cooperation but serious worry and negative affect. Individuals in the ignoring-risk profile reported the least levels of cooperation and worry but the highest levels of negative affect. Finally, the perceived-moderate-perceived-risk profile reported moderate levels of both cooperation and emotional distress. These results were well repeated in two samples. Present findings point towards an adaptive risk perception pattern (the controllable-high-perceived-risk profile) which may optimize cooperation while also avoid serious emotional distress.

The effect of consumer-perceived COVID-19 ad value on health-protective behavior: Mediating role of engagement

Though the pandemic has passed, social media-based messaging continues to exhibit COVID-19-related cues (e.g., wearing a face mask to stay safe), continuing to foster consumers' health-protective behavior. However, it remains unclear how social media communications (e.g., advertising) affect such behavior, exposing an important literature-based gap. Addressing this gap, we deploy Ducoffe's advertising value model to examine how pandemic-related advertisements (e.g., those urging consumers to stay safe, including post-the pandemic) impact their health-protective behavior. We also examine how consumer engagement (CE) mediates these associations. To explore these issues, we collected data from a sample of 301 Gen Z consumers, which was analyzed using partial least squares structural equation modeling (PLS-SEM). We find that informative, credible, irritating, and obtrusive ads raise consumer engagement and health-protective behavior. Engagement was also found to strengthen these associations, revealing their strategic value. We conclude by outlining important theoretical and practical implications that arise from our analyses.

Effects of health-related dispositions on citizens' appraisals toward the COVID-19 pandemic and protective behavior

In this study, health risk attitude and health locus of control were included as dispositional factors in the Protection Motivation Theory (PMT) to explain people's protective behavior in the context of COVID-19 pandemic. Empirical data involved two waves of data with a sample of 526 adults with full-time jobs from Beijing, China, and structural equation model results confirmed a partial successful extension of the PMT. Specifically, health risk attitude had a direct effect on citizens' protective behavior, but without an indirect effect mediated by threat appraisal toward the COVID-19 pandemic; health locus of control did not directly associate with citizens' protective behavior, but had an indirect effect on it fully via coping appraisal toward the COVID-19 pandemic. Thus, the PMT has been extended by adding a distal dispositional factor on the impact of coping appraisal on protective behavior. Implications for advancing the government's anti-epidemic strategy are discussed.

What drives preventative health behaviors one year into a pandemic? A replication and extension

Objective: There is continued interest in understanding what leads people to engage in CDC-recommended COVID-19 prevention behaviors. We tested whether fear and COVID-19 worry would replicate as the primary drivers of six CDC recommended prevention behaviors. Methods and Measures: We recruited 741 adult participants during the second major peak of the COVID-19 pandemic in the United States (early 2021). Using very similar methods to the original study, participants completed a 10-day daily diary. Mixed effects models identified the strongest predictors of each individual prevention behavior as well as approach and avoidance behavior clusters. Results: At the between-person level, COVID-19 worry, COVID-19 perceived susceptibility, fear, and positive emotions all had positive zero-order associations with the prevention behaviors. However, with all predictors in the same model together, primarily COVID-19 worry remained significant for both the individual behaviors and behavior clusters. At the within-person level, only fear related to assessing oneself for COVID-19 and approach behaviors on the same day, but not the next day. Mediational analyses suggested COVID-19 worry, but not COVID-19 susceptibility, mediated the links between fear and approach/avoidance behaviors. Conclusion: Findings replicated worry about yourself or a loved one getting COVID-19 as the strongest predictor of prevention behaviors.

Culture and effectiveness of distance restriction policies: evidence from the COVID-19 pandemic

Natural disasters bring indelible negative impacts to human beings, and people usually adopt some post hoc strategies to alleviate such impacts. However, the same strategies may have different effects in different countries (or regions), which is rarely paid attention by the academic community. In the context of COVID-19, we examine the effect of distance restriction policies (DRP) on reducing human mobility and thus inhibiting the spread of the virus. By establishing a multi-period difference-in-differences model to analyse the unique panel dataset constructed by 44 countries, we show that DRP does significantly reduce mobility, but the effectiveness varies from country to country. We built a moderating effect model to explain the differences from the cultural perspective and found that DRP can be more effective in reducing human mobility in countries with a lower indulgence index. The results remain robust when different sensitivity analyses are performed. Our conclusions call for governments to adapt their policies to the impact of disasters rather than copy each other.

Factors influencing risk perception during Public Health Emergencies of International Concern (PHEIC): a scoping review

The unknownness and dread potential of a risk event shapes its perceived risk. A public health emergency of international concern (PHEIC) declaration by the World Health Organisation (WHO) is a signal for such an event. Understanding perceived risk then shapes risk-avoiding behaviours, important for health prevention. The review aims to consolidate the determinants of risk perception during a PHEIC, underscoring the need for grounding in context and theory. Studies published from 2010 until end-2020, searching PubMed, PsycINFO, MedlinePlus, PubPsych, and CINAHL, were included. Studies with only biological conceptualisations of risk, or no association to risk perception, were excluded. A total of 65 studies were included. Quality of the cross-sectional studies was assessed using Newcastle Ottawa Scale (NOS), yielding an average of 5.4 stars (out of 10). Factors were classified into three broad categories - individual, contextual, and media. Individual risk factors include emotions; beliefs, trust, and perceptions; immutable physical traits (sex, age, ethnicity); mutable traits (education, income, etc.); and knowledge, with no definitive correlation to risk perception. Contextual traits include pandemic experience, time, and location, with only time negatively correlated to risk perception. Media traits include exposure, attention, and framing of media, with no clear association to risk perception. One limitation is excluding a portion of COVID-19 studies due to censoring. Still, this lack of consensus highlights the need to better conceptualise "risk perception". Specifying the context and timing is also important since jurisdictions experience different outbreaks depending on outbreak histories. Using theories to ground risk perception research assists with these tasks.

A synergistic study of policy and literature on rumor governance

Rumor governance is an important guarantee for social stability and public safety. Based on the life cycle and crisis cycle model, this paper conducts a synergistic analysis of China's rumor governance policies and regulations and the core scientific research literature on rumor governance in WOS and CNKI. In this paper, we use the TF-IDF algorithm to count the word frequencies of 326 policy and regulation texts, the Jieba-RoBERTa-Kmeans model to cluster high-frequency keywords, and CiteSpace software and the LLR clustering algorithm are utilized to extract and cluster keywords from 391 documents in the WOS database and from 703 documents in the CNKI database. Based on the synergistic analysis of the life cycle model, it is found that the research on policies and regulations precedes the research on literature, and both are in the period of refinement.Based on the synergistic analysis using the co-occurrence comparison of subject terms in the crisis cycle model, it is found that there is a lack of research in the stages of prevention, monitoring, and governance, and this paper proposes the systematic governance mechanism and strategy for crisis resolution that conforms to the trend of life cycle evolution and is synergistic with policy and literature. This study has only selected Chinese policies and regulations, and the proposed governance strategies have not yet been verified in practice; future research can expand the scope and depth of the study and conduct empirical research and pilot projects.

Trust as a catalyst: revealing the impact of government trust and professional trust on public health policy compliance during a pandemic

BACKGROUND

Existing research has extensively explored the relationship between government trust and compliance behaviour, but significant controversies exist. Some studies suggest a strong positive correlation between the two. Other studies have found that government trust hinders compliance behaviour. However, during the pandemic, the effectiveness of public health policies largely depends on the public's compliance with these policies. To examine the aforementioned controversies, this study utilizes survey data on the Chinese population during the COVID-19 period to explore the relationship between compliance with public health policies and government trust.

METHODS

The study conducted a questionnaire survey of 1,395 individuals from 25 provinces in China from mid-November to mid-December 2022. Firstly, we categorized the public's compliance behaviour with public health policies based on the results of factor analysis. Subsequently, we examined the impact of government trust and professional trust on compliance behaviour with public health policies by constructing a structural equation model.

RESULTS

Based on the results of factor analysis, we classified public adherence to public health policies into protective compliance and restrictive compliance. Results from the structural equation model show a positive correlation between the public's trust in the government and both protective and restrictive compliance, with a stronger influence on protective compliance. Government trust also exerts a positive impact on restrictive compliance behaviour through professional trust. Additionally, the study indicates a significant positive correlation between the public's professional trust and restrictive compliance, while it does not significantly affect protective compliance. Moreover, the public from rural areas demonstrates a greater willingness to adhere to both types of public health policies. Married individuals exhibit a stronger inclination toward protective compliance, while females show a stronger tendency toward restrictive compliance.

CONCLUSION

The study revealed a significant positive impact of government trust and professional trust on compliance behaviour with public health policies during the COVID-19 pandemic, refuting any negative correlation between government trust and compliance behaviour. Normative motivations for compliance behaviour had a substantial impact on adherence. These findings offer valuable insights for future public health crisis management and public policy formulation.

Extremism, knowledge, and overconfidence in the covid-19 restriction times

Public response to restriction policy against the novel coronavirus disease (COVID-19) can polarize into two extremes: one absolutely in favor of restrictions for the sake of human life and health, and other absolutely against the restrictions for the sake of human rights and daily life. This study examines psychological nature of extremism regarding individuals' self-restraint from social behavior, which was and has been encouraged by the Japanese government as restriction measures, as well as possible measures to mitigate this extremism. We hypothesize that people with more extreme views on self-restraint tend to have less knowledge of this virus, and, nevertheless, tend to be more overconfident in the sense that they falsely believe they understand COVID-19 and the effects of self-restraint. It is also postulated that overconfidence can be reduced by asking them to explain how self-restraint works. To test these hypotheses, we conducted an online experiment on the Japanese adults (n = 500) to measure the extent of their knowledge of COVID-19 and to examine the effect of explanation task on their understanding regarding COVID-19 and extremism. The results indicate that the extreme attitudes were associated with insufficient knowledge about the symptoms, risks, and characteristics of COVID-19. Moreover, their extreme attitudes tended to moderate through this experimental study to an extent that they realized they did not understand COVID-19 including the effects of self-restraint. This suggests that people with extremism may have been overconfident in their own understanding of the COVID-19 restrictions.

How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?

To effectively address the mental health risks associated with public health emergencies, it is crucial to actively manage rumors. This study explores the dynamic evolutionary process of rumor diffusion and its collaborative governance in public health emergencies. A game-theoretic model is constructed, involving three main actors: regulators, parties involved in public health emergencies (PIPHE), and whistle-blowers. The behaviors and game outcomes of each party are analyzed, and the effectiveness and feasibility of the model are validated through numerical simulations. The findings of this study reveal that various factors, such as regulatory costs, penalty income, reputation damage for regulators; image loss, reputation enhancement, penalty expenditure for PIPHE; and time costs, social responsibility, and reward income for whistle-blowers, all influence the behavioral choices and game equilibrium of each party. Optimization strategies for rumor governance are proposed in this study, including enhancing the sense of responsibility and capability among regulators, increasing transparency and credibility among PIPHE, and encouraging and protecting the participation of whistle-blowers. This study provides a comprehensive analytical framework for rumor governance in public health emergencies, contributing to improving the governance of public health emergencies and maintaining online public health orders for social sustainability.

Factors Associated With Levels of Public Engagement in Protective Behaviors During the Early COVID-19 Pandemic: Causal-Comparative Study Based on the Health Belief Model

BACKGROUND

While the challenges of COVID-19 are still unfolding, the enhancement of protective behavior remains a top priority in global health care. However, current behavior-promoting strategies may be inefficient without first identifying the individuals with lower engagement in protective behavior and the associating factors.

OBJECTIVE

This study aimed to identify individuals with and potential contributing factors to low engagement in protective behavior during the COVID-19 pandemic.

METHODS

This is a causal-comparative study. A theory-based web-based survey was used to investigate individuals' protective behavior and potential associating factors. During June 2020, the distribution of the survey was targeted to 3 areas: Taiwan, Japan, and North America. Based on the theory of the health belief model (HBM), the survey collected participants' various perceptions toward COVID-19 and a collection of protective behaviors. In addition to the descriptive analysis, cluster analysis, ANOVA, and Fisher exact and chi-square tests were used.

RESULTS

A total of 384 responses were analyzed. More than half of the respondents lived in Taiwan, followed by Japan, then North America. The respondents were grouped into 3 clusters according to their engagement level in all protective behaviors. These 3 clusters were significantly different from each other in terms of the participants' sex, residency, perceived barriers, self-efficacy, and cues of action.

CONCLUSIONS

This study used an HBM-based questionnaire to assess protective behaviors against COVID-19 and the associated factors across multiple countries. The findings indicate significant differences in various HBM concepts among individuals with varying levels of behavioral engagement.

Mass behaviour change amid COVID-19: How public health information and social norms explain the transformation

COVID-19 is a severe and ongoing threat globally, with the spread disrupting lives and society. Despite the developments of vaccines, the key measure to reduce the transmission of variants has stemmed from mass changes to personal behaviours. COVID-19 pandemic offers a unique context, where the protection behaviours enacted by an individual are necessary to keep the community safe. A social psychological perspective can be used to understand the reasons for adherence to policies and determine what other factors can shape preventive behaviours. To resolve this, in partnership with health consumers we use an online survey, with the findings substantiating preventive behaviours are positively related to COVID-19 information access and descriptive norms. Additionally, findings demonstrate the mediating role of injunctive norms on preventive behaviour suggesting that policy makers can influence decision-making by promoting health information that provides guidance on acceptable behaviours, but also demonstrates subsequent success. The integrity of the model is substantiated by partial least squares (PLS) testing.

The Relationship between Job Demands and Turnover Intention among Chinese Prison Officers during the COVID-19 Pandemic: A Moderated Mediation Model

The COVID-19 pandemic has brought enormous challenges to both employees and organizations all over the world. Previous studies have found high turnover rates among prison officers since the outbreak of COVID-19. This cross-sectional study aimed to investigate the mediating role of job burnout between job demands and turnover intention, as well as the moderating role of the perceived efficacy in overcoming COVID-19 in Chinese prison officers. In total, 1316 prison officers were recruited to complete an online questionnaire between May 2022 and June 2022 (during the COVID-19 pandemic). The bootstrapping approach was used to assess the moderated mediation model in this study. The results showed that prison officers' job demands were positively associated with their turnover intention. Job burnout mediated the relationship between job demands and turnover intention. Perceived efficacy in overcoming COVID-19 moderated the effect of job burnout on turnover intention. Based on these results, suggestions were provided to reduce the high turnover rate of prison officers in public health events like the COVID-19 pandemic.

Understanding the Factors Affecting Travel Avoidance behavior During the COVID-19 Pandemic: Findings From a Mixed Method Approach

Pandemics are affecting tourism in many ways, and have had a major effect on international travel, the hospitality industry and tourism demand. Grounded in the protective action decision model and complexity theory, this study seeks to develop a model to explain the conditions that have led to travel avoidance in the UK in the context of the COVID-19 pandemic. To test our proposed model, we used a fuzzy-set qualitative comparative analysis of data gathered from 1,290 travelers, with semi-structured interviews conducted to confirm the configurations identified by the model. The findings indicate that effective pandemic information, effective risk communication, supplies, trust in government and trust in the media are necessary to combat travel avoidance, but the refutation of rumor and trust among traveler is not necessary to foster travel avoidance. Furthermore, qualitative follow-up interviews were conducted to obtain deeper insights into the discovered configurations and develop effective pathways to travel avoidance.

Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA

Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative comparative analysis (fsQCA) is used to find configurational pathways to enhance rumor refutation effectiveness. In this paper, a total of 1,903 COVID-19 related false rumor refutation microblogs on Sina Weibo are collected by a web crawler from January 1, 2022 to April 20, 2022, and 10 main conditions affecting rumor refutation effectiveness index (REI) are identified based on "three rules of epidemics". To reduce data redundancy, five ensemble machine learning models are established and tuned, among which Light Gradient Boosting Machine (LGBM) regression model has the best performance. Then five core conditions are extracted by feature importance ranking of LGBM. Based on fsQCA with the five core conditions, REI enhancement can be achieved through three different pathway elements configurations solutions: "Highly influential microblogger * high followers' stickiness microblogger", "high followers' stickiness microblogger * highly active microblogger * concise information description" and "high followers' stickiness microblogger * the sentiment tendency of the topic * concise information description". Finally, decision-making suggestions for false rumor refutation platforms and new ideas for improving false rumor refutation effectiveness are proposed. The innovation of this paper reflects in exploring the REI enhancement strategy from the perspective of configuration for the first time.

Exploring Loneliness, Fear and Depression among Older Adults during the COVID-19 Era: A Cross-Sectional Study in Greek Provincial Towns

BACKGROUND

With the onset of the COVID-19 pandemic, life changed abruptly for older adults in Greece. Social isolation, lockdowns, the fear of serious illness and death, all contributed to an increased risk of developing depression.

OBJECTIVE

To explore the presence and severity of depression in older adults in Greek provincial towns during the pandemic and to explore any possible relationships with loneliness and fear.

METHODS

A convenience sample of 200 participants aged >65, completed a socio-demographic form, the Revised UCLA Loneliness Scale, the Geriatric Depression-15 Scale (GDS-15) and the COVID-19 Fear Scale (FCV-19S). Data were collected from April to May 2022.

RESULTS

The average age of participants was 76.6 years and 35.5% of the participants presented depressive symptoms (mean prevalenceof depression 5 ± 3.7). A moderate to low level of loneliness (mean value 39 ± 11.3) and a moderate level of COVID-19 fear (mean value 18.9 ± 6.5) were also experienced. Higher levels of loneliness were found among participants with lower perceived health status and among those participants registered in Primary Health and Social Care (PHSC) services. Loneliness was positively correlated with depression (r = 0.7, p < 0.001), and increased loneliness and depression were associated with an increase in fear of COVID-19 (r = 0.2, p = 0.01 for both).

CONCLUSIONS

During the pandemic, older adults experienced loneliness, fear of COVID-19 and depression which were positively associated with each other. It is imperative to develop PHSC policies that are aimed at addressing the mental health problems of the older population, which have been caused by the COVID-19 pandemic, through developing their resilience, offering psychological support and promoting social connections.

How perceived risk influences college students' preventive behavior: Novel data of COVID-19 campus lockdown from Wuhan, China

Following preventive behaviors is a key measure to protect people from infectious diseases. Protection motivation theory (PMT) suggests that perceived risk motivates individuals to take protective measures. The COVID-19 pandemic has posed unprecedented stress to the public, and changes in perceived risk may be more pronounced among college students than among other groups due to the related campus lockdown. With 1,119 college students recruited as research subjects, a quantitative research was conducted in Wuhan, China, to deduce the relationship between the perceived risk and preventive behavior of college students, as well as between the mediation effect of individual affect and the moderating effect of physical exercise. The results showed that the preventive behavior of college students was significantly affected by perceived risk, and both positive affect and negative affect played a mediating role between perceived risk and preventive behavior. Specifically, positive affect aided the relationship between perceived risk and preventive behavior, negative affect was detrimental to their relationship, and the mediation effect of positive affect is significantly higher than that of negative affect. Furthermore, physical exercise played a moderating role in the mediation effects of positive affect and negative affect. Therefore, appropriate measures should be taken to strengthen Chinese college students' perceived risk and provide them with corresponding guidance. The importance of physical exercise should also be emphasized to help college students with low perceived risk reduce negative affect, increase positive affect, and promote their preventive behavior.

How did consumers’ self-protective behavior formed during the COVID-19 pandemic?

Introduction

This study explored the formation mechanism of consumers’ self-protective behavior during the COVID-19 pandemic, which is very important for policy settings to regulate consumer behavior. Based on the basic framework of the Protective Action Decision Model (PADM), this study analyzed the formation mechanism of consumers’ self-protective willingness from the perspective of risk information, and explained the deviation between consumers’ self-protective willingness and behavior from the perspective of protective behavior attributes.

Methods

Based on 1,265 consumer survey data during the COVID-19 pandemic, the empirical test was carried out.

Results and Discussion

The amount of risk information has a significant positive impact on the consumers’ self-protective willingness, where the credibility of risk information plays a positive moderating role between them. Risk perception plays a positive mediating role between the amount of risk information and the consumers’ self-protective willingness, and the positive mediating effect of risk perception is negatively moderated by the credibility of risk information. In the protective behavior attributes, hazard-related attributes play a positive moderating role between the consumers’ self-protective willingness and behavior, while resource-related attributes play the opposite role. Consumers pay more attention to hazard-related attributes than resource-related attributes, and they are willing to consume more resources to reduce risk.

Factors Affecting Preventive Behaviors for Safety and Health at Work during the COVID-19 Pandemic among Thai Construction Workers

Occupational health and safety risks are of major concerns in construction industry. The COVID-19 outbreak provides an additional risk that could drastically affect the safety risks and health of construction workers. Understanding the factors that affect the health and safety of construction workers is significant in reducing risky behaviors and enhancing worker preventive behaviors. Via integrating the Protection Motivation Theory (PMT) and the extended Theory of Planned Behavior (TPB), this study investigates the factors that affect preventive behaviors among construction workers during the COVID-19 pandemic in Bangkok, Thailand. A total of 610 Thai construction workers participated in an online questionnaire survey, which consisted of nine factors with 43 questions. Structure equation modeling (SEM) was adopted to analyze the causal relationships among the latent variable. The SEM results indicated that organizational support and knowledge about COVID-19 had significant (p < 0.0001) direct influences on perceived vulnerability and perceived severity. In addition, perceived vulnerability and perceived severity had significant direct influences on perceived behavioral control. Perceived severity had significant (p < 0.0001) direct influence on attitude towards behavior. Moreover, perceived behavioral control and attitude towards behavior had significant (p < 0.0001) direct influence on intention to follow the preventive measure. Furthermore, the intention to follow the preventive measure had significant (p < 0.0001) direct influences on the COVID-19 preventive behavior. Of note, organizational support and knowledge about COVID-19 had significant (p < 0.0001) indirect influence on COVID-19 preventive behavior. The findings of this study may assist project managers/supervisors and authorities in the construction industry in understanding the challenge during COVID-19 and possible similar epidemics in the future. In addition, conducting effective strategies would improve construction industry safety and promote preventive behaviors among construction workers.

Digital and physical factors influencing an individual's preventive behavior during the COVID-19 pandemic in Taiwan: A perspective based on the S-O-R model

COVID-19 has caused considerable stress to individuals and communities. Daily press briefings on public health during the COVID-19 pandemic have increased individuals' feelings of social pressure. Abrupt changes to a person's immediate environment, such as the changes caused by COVID-19, can substantially affect their mental health and cognitive adjustment. On the basis of the stimulus-organism-response (S-O-R) framework, we examined the effects of digital and physical stimuli related to COVID-19 in Taiwan on individuals' psychological states and preventive behavior, including social distancing and personal hygiene. The data obtained from 498 valid survey questionnaires indicated that digital and physical factors including informativeness, social pressure, and severity exerted direct effects on cognitive assimilation and anxiety, which in turn affected individuals' preventive behavior. Moreover, cognitive assimilation and anxiety had significant mediating effects on the relationships of informativeness, social pressure, and severity with individuals' preventive behavior. The results of this study indicate how digital and physical stimulus factors affect cognitive assimilation and anxiety, which influence preventive behavior during a pandemic.

The roles of risk perception, negative emotions and perceived efficacy in the association between COVID-19 infection cues and preventive behaviors: a moderated mediation model

Preventive behaviors during the COVID-19 pandemic are especially critical to the protection of individuals whose family members or acquaintances have been infected. However, limited research has explored the influence of infection cues on preventive behaviors. This study proposed an interaction model of environment-cognitive/affective-behavior to elucidate the mechanism by which infection cues influence preventive behaviors and the roles of risk perception, negative emotions, and perceived efficacy in that influence. To explore the relationships among these factors, we conducted a cross-sectional online survey in 34 provinces in China during the first wave of the COVID-19 pandemic. A total of 26,511 participants responded to the survey, and 20,205 valid responses (76.2%) were obtained for further analysis. The moderated mediation results show that infection cues positively predicted preventive behaviors in a manner mediated by risk perception and negative emotions. Moreover, perceived efficacy moderated the influence of infection cues not only on preventive behaviors but also on risk perception and negative emotions. The higher the perceived efficacy, the stronger these influences were. These findings validated our model, which elucidates the mechanisms underlying the promoting effect of infection cues on preventive behaviors during the initial stage of the COVID-19 pandemic. The implications of these results for the COVID-19 pandemic and beyond are discussed.

A saúde em tempos de crise: lições a partir da Covid-19

Resumo: A pandemia da Covid-19 trouxe desafios à gestão pública de todo o mundo, sendo frequentes os debates sobre quais seriam as ações mais assertivas para o seu enfrentamento. Diante disso, este estudo teve como objetivo compreender os elementos que influenciaram no resultado do enfrentamento à pandemia por meio de uma revisão integrativa sistematizada de artigos nacionais e internacionais. Os resultados evidenciaram diversas tipologias de condicionantes do enfrentamento à Covid-19, que poderiam ser agregados em três categorias inter-relacionadas: conjuntura local, contexto organizacional e capacidades estatais. Estes elementos se concentram de forma dispersa ao longo dos territórios, ensejando estratégias, parcerias e instrumentos de cooperação para minimização dos danos à população. Os resultados do estudo avançam na literatura ao desvendar a complexidade do gerenciamento de crises desta magnitude, contribuindo para a criação de aprendizado e para a gestão do conhecimento em benefício do enfrentamento de crises de saúde futuras.

Interactions among the human and organizational factors within the public sector regarding epidemic prevention and control

The management of human and organizational factors (HOFs) within the public sector directly concerns the efficacy of epidemic prevention and control (EPC). Insufficient examination of such HOFs has led to defective countermeasures. This study attempts to comprehensively identify the HOFs within the public sector critical to EPC and investigate their interactions with the weighted network theory. A total of 55 HOFs were identified, and their interactions were assessed and visualized in the Chinese context. Then, the established weighted network was analyzed to investigate the interactions and diagnose critical factors and sectors. The analysis shows that there are strong interactions among HOFs, and that the human and organizational risks emerging from administrative departments of public health, centers for disease control and prevention, and medical institutions act as the key risk sources in the complex interconnected EPC system, exacerbating risk and causing a significant domino effect. It is recommended that the authorities devote more resources to the core sectors and endeavor to reinforce those critical HOFs by implementing closer risk communication, collaboration, and response. This study may deepen and broaden the authorities' awareness and understanding of interactions among HOFs regarding epidemic mitigation, and strengthen their capacity to perceive, evaluate, and manage these factors in a proactive and effective way, thereby facilitating the success of EPC.

Protective consumption behavior under smog: using a data-driven dynamic Bayesian network

In the midst of the deteriorating air pollution and collective stress, people pay close attention to risk mitigation measures such as keeping indoor and purchasing anti-smog products. Through impact evaluations, factors regarding health protective behavior can be identified. However, limited research is available regarding probabilistic interdependencies between the factors and protective behavior and largely relies on subjective diagnosis. These concerns have led us to adopt a data-driven static Bayesian network (BN) and Dynamic BN model to help explore multidimensional factors that may influence the public's health protective behavior of buying anti-smog air purifiers and examine the dependencies among network nodes. Using the city-level aggregate data from an online shopping platform, the results shed new light on relationships existing among 11 factors and protective behavior of buying air purifiers. Furthermore, taking into account the dynamic nature of protective behavior, we add time-related factors on the basis of static BN to construct the dynamic BN model. Results indicate that PM2.5 concentration and product price are the two leading factors affecting the consumption behavior for air purifiers. Additionally, media-related factors play an important role in the consumption behavior. This study contributes to the fields of impact evaluation of protective consumption behavior analysis and links environment risk with public consumption by identifying key factors.

Impact of COVID-19 Awareness on Protective Behaviors during the Off-Peak Period: Sex Differences among Chinese Undergraduates

COVID-19 remains an extreme threat in higher education settings, even during the off-peak period. Appropriate protective measures have been suggested to prevent the spread of COVID-19 in a large population context. Undergraduate students represent a highly vulnerable fraction of the population, so their COVID-19 protective behaviors play critical roles in enabling successful pandemic prevention. Hence, this study aims to understand what and how individual factors contribute to undergraduate students' protective behaviors. After building multigroup structural equation models using data acquired from the survey taken by 991 undergraduates at a large research university in eastern China, I found that students' COVID-19 awareness was positively associated with their protective behaviors, such as wearing a mask, using hand sanitizer, and maintaining proper social distance, but not with getting vaccinated. In addition, I found students with higher COVID-19 awareness were more likely to have more COVID-19 knowledge than those with less awareness. Furthermore, sex differences were observed in the mediation effects of COVID-19 awareness on wearing a mask and getting vaccinated, via COVID-19 knowledge, respectively. The results of this study have implications in helping higher education stakeholders enact effective measures to prevent the spread of the pandemic.

Configurations for positive public behaviors in response to the COVID-19 pandemic: a fuzzy set qualitative comparative analysis

BACKGROUND

The COVID-19 crisis poses considerable threats to public health, and exploring the key configuration conditions of the public behavior response is very important for emergency risk management.

OBJECTIVE

This study attempts to reveal differences in the conditional configuration and mechanism of public behavior based on the proposed framework, further make up for the deficiencies of existing research in explaining such issues as "How to promote the public's protective behavior or reduce the public's excessive behavior?" and finally provide new evidence and ideas for the government to improve the emergency management system.

METHODS

A total of 735 valid cases were obtained using an online survey and revealed the conditional configuration and mechanism of public behavior differences through a fuzzy set qualitative comparative analysis based on the proposed public behavioral framework.

RESULTS

The results show that critical factors including risk communication, trust, risk perception, and negative emotions alone did not constitute a necessary condition for public protective or excessive behavior. The different configurations of influencing factors reveal the complexity of public behavioral risk management, and taking adequate measures to increase public trust and reduce negative public emotions constitute the core path of risk management to enhance positive public behavior.

CONCLUSIONS

The configurations of various influencing factors reveal the complexity of public behavioral risk management. For behavioral risk management, governments should focus on adapting to multiple conditions according to their situations and, under the "overall perspective," formulate policies based on local conditions and further form a differentiated risk management path. Practically speaking, for the government, taking adequate measures to increase public trust and reduce negative public emotions is the core path of risk management to enhance positive public behavior.

Implementation and evaluation of the school's COVID-19 prevention website

Purpose

The purpose of this study is to investigate the effects of the Perceptions of coronavirus 2019 (COVID-19) questionnaire and the Information System Success Questionnaire on students when using the school's COVID-19 epidemic prevention website. The study is aimed toward analyzing both questionnaires as well as evaluating an epidemic prevention website.

Design/methodology/approach

The school's COVID-19 prevention website and two questionnaires (Perceptions of COVID-19 and the Information System Success Questionnaire) are examined in order to investigate 73 students' COVID-19 perceptions. An open-ended question was used as the qualitative data to support quantitative data and evaluate a university's COVID-19 epidemic prevention website from a southern university in Taiwan.

Findings

The findings indicated that most students evaluated the school's COVID-19 website positively and were satisfied. In the open-ended questions, the majority of students rated the quality of the system positively and the need to fix some defects. Students have different COVID-19 perceptions and social distance compliance based on their current situations.

Practical implications

This study provides researchers and website developers a broader understanding of the construction of the school's COVID-19 prevention website and a better understanding of student's COVID-19 perceptions.

Originality/value

To the best of the authors' knowledge, this is the first study examining a school's epidemic prevention website, which is measured by the Information Success Questionnaire and the Perceptions of COVID-19 Questionnaire for college students.

Exploring the drivers of COVID-19 protective behaviors among Singaporean tourists to Indonesia using travel bubbles

This study investigats the relationships among positive emotions, perceived threats, protection motivation, coronavirus disease 2019 (COVID-19) vaccination intentions, quarantine-free travel intentions and COVID-19 protective behaviors in the context of quarantine-free travel. Data were collected from Singaporean tourists in Batam and Bintan of Indonesia using travel bubbles. A total of 387 respondents completed the questionnaires. The findings can help tourism managers create and implement market-driven service initiatives to increase positive emotions, protection motivation, and intentions to take quarantine-free travel and decrease perceived threats in order to enable tourists to have accurate COVID-19 protective behaviors.

Determinants of COVID-19 Related Perception among University of Gondar Academic Staff, Gondar, Ethiopia, 2021: A Structural Equation Modeling Approach

Introduction. Public perceptions of pandemic risk and prevention measures influence adherence to COVID-19 prevention efforts. Even though several factors influence public perceptions, there has been no research on the predictors of COVID-19-related perception in Ethiopia and there are few articles among academic staff worldwide. Thus, this study aims to assess predictors of COVID-19-related perception among Gondar University academic staff. Method. Institutional based cross-sectional study was conducted from April 10 to May 10, 2021. Daniel Soper’s calculator was used to determine the sample size. A simple random sampling technique was employed. Data were collected through a self-administered questionnaire and analyzed using Stata V14. Structural equation modeling was performed to identify determinants of COVID-19 related perception. A $p$ value less than 0.05 and a 95% confidence interval of β were used to declare the statistical significance of the variables. Result. A total of 602 academic staff participated. Mean age of participants was 32.38 (±5.83) years. Family size (β = 0.12), chronic illness (β = −0.19), knowledge (β = 0.11), and cues to action (β = 0.43) were significantly associated with perceived susceptibility. Similarly, educational status (β = −0.11), perceived susceptibility (β = 0.61), and cues to action (β = 0.13) were significantly associated with perceived severity. Likewise, knowledge (β = 0.11) and cues to action (β = 0.62) were significant predictors of self-efficacy. Correspondingly, knowledge (β = 0.23), chronic illness (β = 0.09), profession (β = −0.09), perceived susceptibility (β = 0.19), perceived severity (β = 0.23), and self-efficacy (β = 0.29) were significant predictors of perceived benefit. Similarly, age (β = −0.18), profession (β = 0.10), and perceived susceptibility (β = −0.39) were significantly associated with perceived barriers. Conclusion. Several sociodemographic and other factors affect COVID-19 related perceptions. Intervention should consider those factors to improve COVID-19 prevention practice.

Measuring global pandemic governance: how countries respond to COVID-19

Covid-19 is an unprecedented crisis that faces the majority of governments around the world. The pandemic has resulted in substantial changes to government work cultures, financial management, and the implementation of good governance. The paper has shown how these governments react to the crisis caused by Covid-19. We analyse strategy, policy, and financial management when facing Covid-19 and give a result that will contribute to the development of crisis governance field. In this article, we argue that the most successful action in response to the COVID-19 pandemic in high income, upper-middle income, and lower-middle income countries is guided by the implementation of good governance principles. Data used in this research was obtained from the World Health Organization and the World Bank. The results indicate that countries that have been able to manage the COVID-19 pandemic have good governance indicators, such as voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, rule of law, and control of corruption.

Impacts of COVID-19 on the post-pandemic behaviour: The role of mortality threats and religiosity

This study explores the influence of intra-pandemic perceptions on travellers' post-pandemic hotel booking behaviour among crisis-resistant travellers and crisis-sensitive groups. It also examines the moderating role of mortality threats and religiosity on these behaviours. We collected quantitative data utilising survey method via questionnaires to address various levels of the research. We used PLS-SEM to evaluate our proposed model. We collected data from 1580 who had booked hotels in Egypt. Our study indicated that intra-pandemic perception has a stronger effect on travellers’ post-pandemic hotel booking behaviours if the travellers are less religious and feel deeply threatened by the idea of their own level of mortality. Moreover, it revealed that intra-pandemic perceptions had a stronger association with post-pandemic planned behaviour for travellers who chose to cancel their hotel booking plans. Our study also indicated that emergency public information plays a critical role in influencing post-pandemic planned behaviour. Our study offers effective strategies to aid hospitality and tourism practitioners when risky and threating situations such as COVID-19 arise, specifically in the period of response and recovery.

Analyzing Risk Communication, Trust, Risk Perception, Negative Emotions, and Behavioral Coping Strategies During the COVID-19 Pandemic in China Using a Structural Equation Model

Objective

Risk communication and the degree of trust are major factors that affect the public's behavioral coping strategies and play an important role in emergency risk management. However, the internal formation mechanism involved in the public's psychological behavior remains unclear. This study aimed to investigate the association among risk communication, trust, risk perception, negative emotions, and behavioral coping strategies during the coronavirus disease 2019 (COVID-19) pandemic, and to identify and quantify the factors that influence public behavior.

Methods

We launched an online survey through social media from April to July 2020 in China. Relevant data were elicited using a self-designed questionnaire that mainly examined respondent characteristics, risk communication, trust, risk perception, negative emotions, protective coping behavior, and excessive coping behavior in the context of the COVID-19 pandemic. A total of 735 valid responses were obtained. A structural equation model was then used to explore relationship pathways among the components.

Results

The higher the degree of risk communication (β = -0.10, p < 0.05) and trust (β = -0.22, p < 0.001), the lower the public risk perception. Risk communication and trust had a direct effect on public behavioral coping strategies during the COVID-19 pandemic. The higher the level of risk communication (β = 0.14, p < 0.001) or trust (β = 0.48, p < 0.001), the more likely it was that this would encourage the public to adopt protective coping behaviors, while the public was less likely to engage in excessive coping behaviors as the degree of trust increased (β = -0.12, p < 0.01). Risk perception influenced by poor risk communication and trust generated negative emotions (β = 0.31, p < 0.001), and such negative emotions further positively influenced public behavioral coping strategies (whether protective [β = 0.09, p < 0.05] or excessive [β = 0.24, p < 0.001] behaviors).

Conclusion

Risk communication, trust, risk perception, and negative emotions were significantly directly or indirectly related to public behavior. The findings provide useful information for emergency risk management and a theoretical basis for follow-up research on public coping behavior during the COVID-19 pandemic.

The relationship between information overload and state of anxiety in the period of regular epidemic prevention and control in China: a moderated multiple mediation model

This study aimed to examine the relationship between information overload and individual state anxiety in the period of regular epidemic prevention and control and mediating effect of risk perception and positive coping styles. Further, we explored the moderating role of resilience. 847 Chinese participated in and completed measures of information overload, risk perception, positive coping styles, state anxiety, and resilience. The results of the analysis showed that information overload significantly predicted the level of individual state anxiety (β = 0.27, p < 0.001). Risk perception partially mediate the relationship between information overload and state anxiety (B = 0.08, 95%CI = [0.05, 0.11]) and positive coping styles also partially mediate the relationship between information overload and state anxiety(B = -0.14, 95%CI = [-0.18, -0.10]). In addition, resilience moderated the mediating effects of risk perception (β = -0.07, p < 0.05) and positive coping styles (β = -0.19, p < 0.001). Resilience also moderated the effect of information overload on state anxiety (β = -0.13, p < 0.001). These results offer positive significance for understanding the internal mechanism of the influence of information overload on individual state anxiety in the epidemic environment and shed light on how to reduce people's state anxiety during an epidemic.

A probabilistic approach toward evaluation of Internet rumor on COVID

Several people around the world have died from the coronavirus (COVID-19) disease. With the increase in COVID-19 cases, distribution, and deaths, much has occurred regarding the ban on travel, border closure, curfews, and the disturbance in the supply of services and goods. The world economy was severely affected by the spread of the virus. Every day, new discussions and debates started, and more people were in fear. Occasionally, unconfirmed information is shared on social media sites as if it were accurate information. Sometimes, it becomes viral and disturbs people's emotions and beliefs. Fake news and rumors are widespread forms of unconfirmed and false information. This type of news should be tracked speedily to prevent its negative impact on society. An ideal system is the dire need of modern-day society to evaluate the Internet rumors on COVID. Therefore, the current study has considered a probabilistic approach for evaluating the Internet rumors about COVID. The fuzzy logic tool in MATLAB was used for experimental and simulation purposes. The results revealed the effectiveness of the proposed work.

From warning messages to preparedness behavior: The role of risk perception and information interaction in the Covid-19 pandemic

During infectious disease outbreaks, early warning is crucial to prevent and control the further spread of the disease. While the different waves of the Covid-19 pandemic have demonstrated the need for continued compliance, little is known about the impact of warning messages and risk perception on individual behavior in public health emergencies. To address this gap, this paper uses data from the second wave of Covid-19 in China to analyse how warning information influences preventive behavior through four categories risk perception and information interaction. Drawing on the protective action decision model (PADM) and the social amplification of risk framework (SARF), risk warning information (content, channel, and type), risk perception (threat perception, hazard- and resource-related preparedness behavior perception and stakeholder perception), information interaction, and preparedness behavior intention are integrated into a comprehensive model. To test our model, we run a survey with 724 residents in Northern China. The results show that hazard-related preparedness behavior perception and stakeholder perception act as mediators between warning and preventive action. Stakeholder perception had much stronger mediating effects than the hazard-related attributes. In addition, information interaction is effective in increasing all categories risk perception, stimulating public response, while functioning as a mediator for warning. The risk warning information content, channel, and type are identified as key drivers of risk perception. The research found that information channel was more related to different risk perception than other characteristics. Overall, these associations in our model explain core mechanisms behind compliance and allow policy-makers to gain new insights into preventive risk communication in public health emergencies.

The association between intolerance of uncertainty and Internet addiction during the second wave of the coronavirus disease 2019 pandemic: A multiple mediation model considering depression and risk perception

Repeated outbreaks of coronavirus disease 2019 (COVID‐19) have forced people to shift most of their work and life activities from offline to online, leading to a growing problem of Internet dependence and even Internet addiction. However, the mechanism of the association between COVID‐19‐related intolerance of uncertainty (COVID‐19 IU) and Internet addiction during the second wave of COVID‐19 is still unclear. The current study explored the association between COVID‐19 IU and Internet addiction as mediated by depression and risk perception based on the Uncertainty‐Depression‐Perception‐Addiction model (UDPA). A total of 1,137 adult participants were recruited, and COVID‐19 IU, depression, risk perception, Internet addiction, and demographic variables were analyzed. The results showed that COVID‐19 IU was significantly and positively associated with Internet addiction and that this relationship was mediated in parallel by depression and risk perception. Our findings further extend the Interaction of Person‐Affect‐Cognition‐Execution (I‐PACE) model from the perspective of applicability in the unique context of COVID‐19. Furthermore, the study suggests that individuals could decrease their dependence on the Internet to prevent Internet addiction during the second wave of the pandemic through effective interventions that include lowering COVID‐19 IU, improving emotion regulation, and developing reasonable perceptions of risk.

The Intolerance of Uncertainty and "Untact" Buying Behavior: The Mediating Role of the Perceived Risk of COVID-19 Variants and Protection Motivation

Draw on the protection motivation theory, this study investigated the impacts of intolerance of uncertainty on "untact" buying behavior, and examined the sequential mediating role of the perceived risk of COVID-19 variants and protection motivation. A total of 1,564 (M age = 20.75, SD = 1.92) young individuals participated in the survey. The serial mediation analysis results reveal that intolerance of uncertainty influences one's "untact" buying behavior through "perceived risk of COVID-19 variants - protection motivation." Both internal (intolerance of uncertainty, protection motivation) and external (risk of COVID-19) factors worked together to accelerate the transition of individuals' consumption behavior during COVID-19 pandemic. Therefore, our findings generate important implications for public mental health and economic recovery in the post-COVID-19 era.

Personality and compliance with COVID-19 protective measures among older Americans: Moderating effects of age, gender, and race/ethnicity

Following the growing evidence that personality is related to various health behaviors, we examined whether personality traits were related to compliance with COVID-19 protective measures and evaluated the extent to which associations were moderated by age, gender, or race/ethnicity among older adults during a summer 2020 surge of COVID-19 cases in the United States. Data were from the 2020 Health and Retirement Study COVID-19 module. Multivariate ordinary least squares regression analyses were computed adjusting for health, psychosocial, and sociodemographic factors. Results indicated the significant associations between personality traits and compliance with COVID-19 measures varied by age, gender, and race/ethnicity. Specifically, the associations of agreeableness with wearing a mask and frequent handwashing were less pronounced among older compared with younger individuals. The association between extraversion and wearing masks was stronger for men than for women. The associations of agreeableness with handwashing and physical distancing were weaker for Hispanic older adults, whereas the associations of extraversion with physical distancing and using sanitizers were stronger for Hispanic older adults than for their non-Hispanic White counterparts. Implications regarding behavioral science underlying the current pandemic and future public health crises are discussed.

Managing urban citizens' panic levels and preventive behaviours during COVID-19 with pandemic information released by social media

Reducing citizens' panic and promoting their preventive behaviours are critical parts of pandemic management for the government. However, the effects of pandemic information types (daily statistical vs. detailed case information) and sources (official vs. unofficial social media accounts) on the psychological states and behaviours of urban citizens need to be explored further. Furthermore, the heterogeneity of these effects for citizens from areas with different epidemic levels also needs further investigation. Therefore, we conducted a survey during the COVID-19 outbreak in mainland China in March 2020, and 1298 urban citizens (592 from Wuhan) offered reliable data. Results of linear regression analysis indicated that non-Wuhan urban citizens who were more concerned about detailed case information (e.g., patients' movement paths) exhibited more preventive behaviours than those concerned about daily statistical information (e.g., case numbers) and did not show higher panic levels. Additionally, regarding social media information sources, unofficial social media caused both Wuhan and non-Wuhan urban citizens to have higher levels of panic than official media but had no significant impacts on their preventive behaviours. These findings contribute to urban management through the discovery of the effects of different information types and social media information sources on urban citizens during pandemics.

The mechanism of governments' and individuals' influence on protective behaviours during the second wave of COVID-19: a multiple mediation model

Background: The SARS-CoV-2 virus continues to spread and resurge globally with signs of a second wave, despite actions by governments to curb the COVID-19 pandemic. However, evidence-based strategies to combat COVID-19 recurrence are poorly documented. Objective: To reveal how governments and individuals should act to effectively cope with future waves, this study proposed a preventive model of COVID-19 resurgence. Method: A questionnaire survey was conducted among 1,137 residents of Beijing, where the epidemic reoccurred. Structural equation model was used to explore the mechanism among government intervention, perceived efficacy, positive emotions, posttraumatic growth (PTG) and protective behaviours. Results: Data analysis revealed that during COVID-19 resurgence, government intervention could directly and indirectly influence protective behaviours through individual factors (i.e. perceived efficacy, positive emotions), and PTG could mediate the indirect pathway to protective behaviours. Conclusions: These findings implied that government intervention needs to be integrated with individual factors to effectively control repeated COVID-19 outbreaks.

Managing life during the pandemic: communication strategies, mental health, and the ultimate toll of the COVID-19

Background/aim

The purpose of this review was to present the ultimate toll of the COVID-19 pandemic by focusing on the communication strategies and mental health.

Materials and methods

We unsystematically reviewed the studies published between 2020 and 2021 from databases such as Google Scholar, Web of Science and ScienceDirect. Firstly, “new-normal” life challenges during the pandemic were discussed along with the public risk communication strategies. Later, mental health problems, posttraumatic growth, and protective factors were reviewed.

Results

Literature highlighted that individuals mainly experience COVID-19 related fear, anxiety, stress, negative emotions and sleep problems. Furthermore, the rates of clinically significant depression, anxiety, obsessive compulsive disorder, and posttraumatic stress disorder suggest an increase. Specifically, COVID-19 stress syndrome, loneliness, and sleep problems were associated with mental health problems in the pandemic. However, some individuals seem to be resilient to the COVID-19 trauma and experience posttraumatic growth. Brief online intervention studies are promising for reducing the emotional toll of the COVID-19 as well as for making individuals more resilient.

Conclusion

To conclude, the negative conditions of the pandemic seem to make some people, but not all, vulnerable to mental illness. In addition, framing the public warnings in an optimal emotional tone seems to be more effective to comply with the precautions.

Sustained Effects of Government Response on the COVID-19 Infection Rate in China: A Multiple Mediation Analysis

Many scholars have considered the relationship between the government response to COVID-19, an important social intervention strategy, and the COVID-19 infection rate. However, few have examined the sustained impact of an early government response on the COVID-19 infection rate. The current paper fills this gap by investigating a national survey performed in February 2020 and infection data from Chinese cities surveyed 1.5 years after the outbreak of COVID-19. The results suggest that the Chinese government's early response to COVID-19 significantly and sustainedly reduced China's COVID-19 infection rate, and that this impact worked through risk perception, the adoption of protective action recommendations (PARs), and the chain-mediating effects of risk perception and the adoption of PARs, respectively. These findings have important practical value. In demonstrating how government response and infection rate at the macro level are connected to the behaviour of individuals at the micro level, they suggest feasible directions for curbing the spread of diseases such as COVID-19. When facing such public health emergencies, the focus should be on increasing the public's risk perception and adoption of PARs.

What influences people's responses to public health messages for managing risks and preventing infectious diseases? A rapid systematic review of the evidence and recommendations

BACKGROUND

Individual behaviour changes, such as hand hygiene and physical distancing, are required on a population scale to reduce transmission of infectious diseases such as COVID-19. However, little is known about effective methods of communicating risk reducing information, and how populations might respond.

OBJECTIVE

To synthesise evidence relating to what (1) characterises effective public health messages for managing risk and preventing infectious disease and (2) influences people's responses to messages.

DESIGN

A rapid systematic review was conducted. Protocol is published on Prospero CRD42020188704.

DATA SOURCES

Electronic databases were searched: Ovid Medline, Ovid PsycINFO and Healthevidence.org, and grey literature (PsyarXiv, OSF Preprints) up to May 2020.

STUDY SELECTION

All study designs that (1) evaluated public health messaging interventions targeted at adults and (2) concerned a communicable disease spread via primary route of transmission of respiratory and/or touch were included. Outcomes included preventative behaviours, perceptions/awareness and intentions. Non-English language papers were excluded.

SYNTHESIS

Due to high heterogeneity studies were synthesised narratively focusing on determinants of intentions in the absence of measured adherence/preventative behaviours. Themes were developed independently by two researchers and discussed within team to reach consensus. Recommendations were translated from narrative synthesis to provide evidence-based methods in providing effective messaging.

RESULTS

Sixty-eight eligible papers were identified. Characteristics of effective messaging include delivery by credible sources, community engagement, increasing awareness/knowledge, mapping to stage of epidemic/pandemic. To influence intent effectively, public health messages need to be acceptable, increase understanding/perceptions of health threat and perceived susceptibility.

DISCUSSION

There are four key recommendations: (1) engage communities in development of messaging, (2) address uncertainty immediately and with transparency, (3) focus on unifying messages from sources and (4) frame messages aimed at increasing understanding, social responsibility and personal control. Embedding principles of behavioural science into public health messaging is an important step towards more effective health-risk communication during epidemics/pandemics.

Policy Design for COVID-19: Worldwide Evidence on the Efficacies of Early Mask Mandates and Other Policy Interventions

To understand the extent to which a policy instrument's early adoption is crucial in crisis management, we leverage unique worldwide data that record the daily evolution of policy mandate adoptions and COVID-19 infection and mortality rates. The analysis shows that the mask mandate is consistently associated with lower infection rates in the short term, and its early adoption boosts the long-term efficacy. By contrast, the other five policy instruments-domestic lockdowns, international travel bans, mass gathering bans, and restaurant and school closures-show weaker efficacy. Governments prepared for a public health crisis with stronger resilience or capacity and those with stronger collectivist cultures were quicker to adopt nationwide mask mandates. From a policy design perspective, policymakers must avoid overreacting with less effective instruments and underreacting with more effective ones during uncertain times, especially when interventions differ in efficacy and cost.

The Societal Influences and Quality of Life Among Healthcare Team Members During the COVID-19 Pandemic

Background: The coronavirus infection disease 2019 (COVID-19) pandemic is likely to put healthcare professionals across the world in an unprecedented situation. Methods: A total of 683 healthcare workers were recruited in this study. Short form-12 items (SF-12), Societal Influences Survey Questionnaire (SISQ), and Disaster-Related Psychological Screening Test (DRPST) were used to survey participants. Multiple linear regression and structural equation model (SEM) were used to explore the possible factors to the societal influences and quality of life. Results: After multiple linear regression analysis, female, older, more education years, married, regular intake, and posttraumatic stress disorder (PTSD) frequency had positive association with SISQ. To physical component summary (PCS) of SF-12, chronic illness, sleep score, PTSD frequency, and social distance had negative association, and exercise habits had positive association. A mental component summary (MCS) value of SF-12, age, participate in social activities, and social information had positive association, and PTSD frequency, sleep score, social anxiety, and depression had negative association. Under SEM analysis, PTSD had positive influence on SISQ. Sleep score and MCS value had negative influences on SISQ. PTSD severity, older age, sleep score, smoking, and nursing staff had negative influences on PCS value. Young age, PTSD frequency, sleep score, and depression had negative influences on MCS value. Conclusion: Healthcare team members with severe PTSD symptoms suffered more societal influences. Relative to PTSD severity, PTSD frequency was more important to the quality of life. Members of older age who frequently participate in clubs, volunteers, or charity activities had better mental life quality.

To comply or not comply? A latent profile analysis of behaviours and attitudes during the COVID-19 pandemic

How and why do people comply with protective behaviours during COVID-19? The emerging literature employs a variable-centered approach, typically using a narrow selection of constructs within a study. This study is the first to adopt a person-centred approach to identify complex patterns of compliance, and holistically examine underlying psychological differences, integrating multiple psychology paradigms and epidemiology. 1575 participants from Australia, US, UK, and Canada indicated their behaviours, attitudes, personality, cognitive/decision-making ability, resilience, adaptability, coping, political and cultural factors, and information consumption during the pandemic's first wave. Using Latent Profile Analysis, two broad groups were identified. The compliant group (90%) reported greater worries, and perceived protective measures as effective, whilst the non-compliant group (about 10%) perceived them as problematic. The non-compliant group were lower on agreeableness and cultural tightness-looseness, but more extraverted, and reactant. They utilised more maladaptive coping strategies, checked/trusted the news less, and used official sources less. Females showed greater compliance than males. By promoting greater appreciation of the complexity of behaviour during COVID-19, this research provides a critical platform to inform future studies, public health policy, and targeted behaviour change interventions during pandemics. The results also challenge age-related stereotypes and assumptions.

Informational support, risk perception, anti-pandemic motivation and behavior: a longitudinal study in China

Mobilizing the public to take anti-pandemic behavior (APB) by strengthening informational support has been recognized as an effective strategy to combat the COVID-19 pandemic. However, it remains unclear how health-related informational support from different channels affects individual factors and, thus, the adoption of different types of APB as the pandemic situation changes. To resolve this issue, we build a multiple mediation model to investigate the associations among informational support from three different channels, two individual internal factors, and two kinds of APB. A three-stage longitudinal study administered to Chinese citizens from February to October 2020 revealed that informational support from media played the most critical role in facilitating individuals’ adoption of compliance APB, while informational support from family was the most significant predictor of the adoption of participation APB. Meanwhile, these effects were mediated by risk perception and anti-pandemic motivation, and weakened to varying degrees as the pandemic situation eased. It is recommended that authorities adjust the focus of publicity strategies in light of the changing situation, and make efforts to heighten the public’s risk perception and anti-pandemic motivation. This study contributes to deepening the understanding of the dynamic efficacy of informational support from different channels on individuals’ adoption of two heterogeneous APBs, and thus to the formulation of more scientific, and situation-based publicity strategies during a public health crisis.