How Media Exposure, Media Trust, and Media Bias Perception Influence Public Evaluation of COVID-19 Pandemic in International Metropolises

Autonomous and policy-induced behavior change during the COVID-19 pandemic: Towards understanding and modeling the interplay of behavioral adaptation

Changes in human behaviors, such as reductions of physical contacts and the adoption of preventive measures, impact the transmission of infectious diseases considerably. Behavioral adaptations may be the result of individuals aiming to protect themselves or mere responses to public containment measures, or a combination of both. What drives autonomous and policy-induced adaptation, how they are related and change over time is insufficiently understood. Here, we develop a framework for more precise analysis of behavioral adaptation, focusing on confluence, interactions and time variance of autonomous and policy-induced adaptation. We carry out an empirical analysis of Germany during the fall of 2020 and beyond. Subsequently, we discuss how behavioral adaptation processes can be better represented in behavioral-epidemiological models. We find that our framework is useful to understand the interplay of autonomous and policy-induced adaptation as a "moving target". Our empirical analysis suggests that mobility patterns in Germany changed significantly due to both autonomous and policy-induced adaption, with potentially weaker effects over time due to decreasing risk signals, diminishing risk perceptions and an erosion of trust in the government. We find that while a number of simulation and prediction models have made great efforts to represent behavioral adaptation, the interplay of autonomous and policy-induced adaption needs to be better understood to construct convincing counterfactual scenarios for policy analysis. The insights presented here are of interest to modelers and policy makers aiming to understand and account for behaviors during a pandemic response more accurately.

Enhancing COVID-19 Risk Mitigation in Bisha City Primary Schools: Investigating Teacher and Administrative Staff Awareness Through a Comprehensive Survey

Background and aims This research investigates COVID-19 awareness among primary school teachers and staff in Bisha City. It aims to enhance safety protocols by examining knowledge, awareness levels, and demographic associations. Despite school reopening, concerns linger. The study promotes informed decision-making, fostering a safer school environment and contributing to the well-being of the educational community. Methods In an institutional-based cross-sectional study among primary school teachers and administrative staff in Bisha City, our research aimed to comprehensively evaluate awareness regarding specific measures for minimizing COVID-19 risks. With a sample size of 348 participants, we employed a robust methodology, including online questionnaires addressing sociodemographic characteristics and knowledge about COVID-19 risks. The data collection period spanned from March 2022 to December 2023, providing a temporal context for responses. A pilot test ensured questionnaire clarity, and efforts were made to enhance reliability and validity, incorporating validated scales and iterative adjustments based on feedback. Non-response or incomplete responses were handled transparently, with sensitivity analyses to assess potential impact. The awareness level was measured using 17 Likert scale questions, and predefined categories (poor, moderate, and good) facilitated result interpretation. Researcher influence was minimized through training and inter-rater reliability checks. Confidentiality and anonymity were rigorously maintained, adhering to ethical considerations. Statistical analyses employed frequency tables, percentages, mean, standard deviations, and the chi-square test. Dissemination included academic publications, reports to the educational directorate, and presentations at conferences. This holistic approach contributes to the robustness and societal impact of our study, offering insights into COVID-19 awareness among educators in Bisha City. Results In this study assessing awareness among teachers and administrative staff in Bisha City regarding COVID-19 risk minimization, data from 348 respondents revealed key bio-demographic characteristics. The majority demonstrated good knowledge of environmental (83%) and personal hygiene risks (84%). The chi-square test indicated no significant associations between bio-demographic factors and awareness levels. Specifically, for age groups, χ²(4, N = 348) = 5.46, p = 0.707; for gender, χ²(1, N = 348) = 1.95, p = 0.744; for educational levels, χ²(4, N = 348) = 2.13, p = 0.995; for residency, χ²(1, N = 348) = 1.11, p = 0.892; and for job types, χ²(3, N = 348) = 8.30, p = 0.404. The absence of significant associations underscores the potential universality of successful awareness campaigns, suggesting that future efforts can maintain an inclusive approach without tailoring messages. These results emphasize the importance of sustained awareness efforts across the diverse demographic spectrum of the educational community. Conclusion This study reveals robust COVID-19 awareness among primary school teachers and staff in Bisha City, with no significant demographic associations. Successful, inclusive awareness campaigns can further enhance safety measures and promote well-being in the educational community.

A cross-sectional study of the psychological impact of the COVID-19 pandemic on camped refugees in Ghana

Vulnerable populations such as camped refugees are often exposed to spread of infectious diseases because of their living conditions, limited resources available to them and exclusion from social services. This study examined the psychological state of camped refugees in Ghana during the COVID-19 pandemic and how their background characteristics predict the severity of the pandemic's psychological impact. It covered 763 refugees aged 15 years and above resident in two (Krisan = 316 and Ampain = 447) camps. Nine COVID-19 Anxiety Scale indicators were used to examine the psychological state of camped refugees. A composite indicator was derived to examine the overall psychological impact. Logistic regression was used to examine the factors that were associated with severe psychological impact. The multivariate analysis revealed that sex of the respondent, marital status and age of head of household were the only socio-demographic factors associated with having a severe psychological impact of the pandemic. There was very strong evidence that respondents who had moderate (OR = 1.74, 95% CI = 1.12, 2.7) and high (OR = 1.66, 95% CI = 1.05, 2.63) knowledge of the disease had increased odds of severe psychological impact. Also, those with moderate (OR = 2.97, 95% CI = 1.78, 4.97) and high (OR = 12.98, 95% CI = 7.86, 21.42) adherence had increased odds of severe psychological impact. None of the pre-existing health conditions and challenges were not significantly associated with severe psychological impact. The limited number of significant socio-demographic covariates suggests that severe psychological impact of the pandemic was a problem in the general population, and thus interventions should target the general population of camped refugees. Also, health education should not only focus on enhancing knowledge and promoting preventive measures but also on managing psychological distress.