Social identification and risk dynamics: How perceptions of (inter)personal and collective risk impact the adoption of COVID-19 preventative behaviors.

Public adoption of preventative behaviors to reduce the transmission of COVID-19 is crucial to managing the pandemic, and so it is vital to determine what factors influence the uptake of those behaviors. Previous studies have identified COVID-19 risk perceptions as a key factor, but this work has typically been limited both in assuming that risk means risk to the personal self, and in being reliant on self-reported data. Drawing on the social identity approach, we conducted two online studies in which we investigated the effects of two different types of risk on preventative measure taking: risk to the personal self and risk to the collective self (i.e., members of a group with which one identifies). Both studies involved behavioral measures using innovative interactive tasks. In Study 1 (n = 199; data collected 27 May 2021), we investigated the effects of (inter)personal and collective risk on physical distancing. In Study 2 (n = 553; data collected 20 September 2021), we investigated the effects of (inter)personal and collective risk on the speed at which tests are booked as COVID-19 symptoms develop. In both studies, we find that perceptions of collective risk, but not perceptions of (inter)personal risk, influence the extent to which preventative measures are adopted. We discuss the implications both conceptually (as they relate to both the conceptualization of risk and social identity processes) and also practically (in terms of the implications for public health communications).

Association of University Students' COVID-19 Vaccination Intention with Behaviors toward Protection and Perceptions Regarding the Pandemic.

Background and Objectives: The COVID-19 pandemic is a serious global health problem. Vaccination is suggested to be one of the most efficacious precautionary measures, in combination with other protective behaviors. The purpose of this study was to explore the association of students' intention to get vaccinated about COVID-19 with protection behaviors and perceptions about the pandemic. Material and Methods: The study sample included 1920 university students who electronically completed two validated questionnaires anonymously and voluntarily from December 2020 to January 2021. Results: Results of the multiple linear regression analysis showed that as the perceived general risk was getting lower, the number of protective behaviors significantly diminished (p < 0.001). Additionally, respondents who believed that they had minor or no personal risk had undertaken significantly fewer preventing behaviors in comparison with participants who thought they had major personal risk (p = 0.006). However, the experience of respondents with people having COVID-19 had statistically significant association with undertaking more preventing behaviors (p = 0.004). Lower general perception of risk had statistically significant association with lower determination to obtain the vaccines of COVID-19 (p < 0.001). Personally knowing someone who had the coronavirus and undertaking more behavioral changes due to the coronavirus situation were significantly related to greater determination to obtain the vaccines of COVID-19 (p = 0.005 and p < 0.001, respectively). Conclusions: The results of this study can provide universities with the appropriate information about the improvement of COVID-19 vaccination strategies.

METHODOLOGY OF CONSTRUCTING THE CONCEPTUAL COVID-19 SPREADING MODELS TO DRAW CONCLUSIONS REGARDING THE INFECTION RISKS

Drawing conclusions about the coronavirus infection risks and real-time decision-making is a primary duty of healthcare professionals. The agent-based modeling of events allows look closely at expectable hazards and paths of immediate infection as the grounds for planning personal tactics of infection prevention. The event modeling transforms verbal information (objects, relations, factors etc.) in constructs of knowledge for computer analysis of COVID-19 contagion. The knowledge constructs or information ontology may be helpful to health-care professionals in bringing to people of risky occupations true information of hazards and validity of the existing rules and regulations. © 2021 Slovo Ltd. All rights reserved.

Covira: A COVID-19 risk assessment, visualization and communication tool.

Assessing the possibility of Coronavirus infection and its risk on an individual's life, estimating the spatial transmission risk based on the dynamic condition of a particular place into consideration, and communicating the same to the public is crucial for minimizing the potential impact of COVID-19. With the increase in cases world-wide, new patterns are being unfolded. Nevertheless, an application for risk assessment will not only help the researcher to quickly verify the proof of concept but also is a powerful tool to bring into notice the results immediately as one of the perfect tools for risk communication. Covira (https://covira.info) is an open-source web-based software that captures the response, calculates personal as well as regional risk, and displays the result to the end-user in the form of maps and risk cards.

Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico.

BACKGROUND: The Health Sentinel (Centinela de la Salud, CDS), a mobile crowdsourcing platform that includes the CDS app, was deployed to assess its utility as a tool for COVID-19 surveillance in San Luis Potosí, Mexico. METHODS: The CDS app allowed anonymized individual surveys of demographic features and COVID-19 risk of transmission and exacerbation factors from users of the San Luis Potosí Metropolitan Area (SLPMA). The platform's data processing pipeline computed and geolocalized the risk index of each user and enabled the analysis of the variables and their association. Point process analysis identified geographic clustering patterns of users at risk and these were compared with the patterns of COVID-19 cases confirmed by the State Health Services. RESULTS: A total of 1554 COVID-19 surveys were administered through the CDS app. Among the respondents, 50.4 % were men and 49.6 % women, with an average age of 33.5 years. Overall risk index frequencies were, in descending order: no-risk 77.8 %, low risk 10.6 %, respiratory symptoms 6.7 %, medium risk 1.4 %, high risk 2.0 %, very high risk 1.5 %. Comorbidity was the most frequent vulnerability category (32.4 %), followed by the inability to keep home lockdown (19.2 %). Statistically significant risk clusters identified at a spatial scale between 5 and 730 m coincided with those in neighborhoods containing substantial numbers of confirmed COVID-19 cases. CONCLUSIONS: The CDS platform enables the analysis of the sociodemographic features and spatial distribution of individual risk indexes of COVID-19 transmission and exacerbation. It is a useful epidemiological surveillance and early detection tool because it identifies statistically significant and consistent risk clusters in neighborhoods with a substantial number of confirmed COVID-19 cases.

Healthcare workers & SARS-CoV-2 infection in India: A case-control investigation in the time of COVID-19.

BACKGROUND & OBJECTIVES: Healthcare workers (HCWs) are at an elevated risk of contracting COVID-19. While intense occupational exposure associated with aerosol-generating procedures underlines the necessity of using personal protective equipment (PPE) by HCWs, high-transmission efficiency of the causative agent [severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)] could also lead to infections beyond such settings. Hydroxychloroquine (HCQ), a repurposed antimalarial drug, was empirically recommended as prophylaxis by the National COVID-19 Task Force in India to cover such added risk. Against this background, the current investigation was carried out to identify the factors associated with SARS-CoV-2 infection among HCWs in the country. METHODS: A case-control design was adopted and participants were randomly drawn from the countrywide COVID-19 testing data portal maintained by the ICMR. The test results and contact details of HCWs, diagnosed as positive (cases) or negative (controls) for SARS-CoV-2 using real-time reverse transcription-polymerase chain reaction (qRT-PCR), were available from this database. A 20-item brief-questionnaire elicited information on place of work, procedures conducted and use of PPE. RESULTS: Compared to controls, cases were slightly older (34.7 vs. 33.5 yr) and had more males (58 vs. 50%). In multivariate analyses, HCWs performing endotracheal intubation had higher odds of being SARS-CoV-2 infected [adjusted odds ratio (AOR): 4.33, 95% confidence interval (CI): 1.16-16.07]. Consumption of four or more maintenance doses of HCQ was associated with a significant decline in the odds of getting infected (AOR: 0.44; 95% CI: 0.22-0.88); a dose-response relationship existed between frequency of exposure to HCQ and such reductions (χ[2] for trend=48.88; P <0.001). In addition, the use of PPE was independently associated with the reduction in odds of getting infected with SARS-CoV-2. INTERPRETATIONS & CONCLUSIONS: Until results of clinical trials for HCQ prophylaxis become available, this study provides actionable information for policymakers to protect HCWs at the forefront of COVID-19 response. The public health message of sustained intake of HCQ prophylaxis as well as appropriate PPE use need to be considered in conjunction with risk homoeostasis operating at individual levels.