Social Determinants of Health and COVID-19 Behaviors and Beliefs Toward Immunizations Among Latinxs.

INTRODUCTION: Sixty million Latinxs make up 26.4% of all COVID-19 cases in the United States. It is uncertain whether behaviors and beliefs of immunizations among Latinxs is influenced by social determinants of health. The purpose of this study was to examine how social determinants of health predict COVID-19 behaviors and beliefs toward immunization among Latinxs. METHODS: In this exploratory study, 11 chapters from the National Association of Hispanic Nurses collaborated to recruit participants. The CDC National 2009 H1N1 Flu Survey was adapted to measure behaviors and beliefs about immunizations of COVID-19. The Health Access Survey was used to measure social determinants of health. Instruments were available in both Spanish and English. RESULTS: Participants (n=228) with higher education and health insurance tended to have less worry about taking the vaccine. Access to resources and practicing COVID-19 protective factors was positively associated. Alternative medicine and use of COVID-19 protective factors were negatively associated. Exposure to drugs and violence was associated with a decrease in likelihood to pursue a vaccine. CONCLUSIONS: Latinx need education about COVID-19 and vaccinations. Access to health care services must be available. Results highlight the importance of careful measurement when assessing social determinants of health among Latinx.

A Descriptive Analysis of the Scientific Literature on Meteorological and Air Quality Factors and COVID-19.

The role of meteorological and air quality factors in moderating the transmission of SARS-CoV-2 and severity of COVID-19 is a critical topic as an opportunity for targeted intervention and relevant public health messaging. Studies conducted in early 2020 suggested that temperature, humidity, ultraviolet radiation, and other meteorological factors have an influence on the transmissibility and viral dynamics of COVID-19. Previous reviews of the literature have found significant heterogeneity in associations but did not examine many factors relating to epidemiological quality of the analyses such as rigor of data collection and statistical analysis, or consideration of potential confounding factors. To provide greater insight into the current state of the literature from an epidemiological standpoint, the authors conducted a rapid descriptive analysis with a strong focus on the characterization of COVID-19 health outcomes and use of controls for confounding social and demographic variables such as population movement and age. We have found that few studies adequately considered the challenges posed by the use of governmental reporting of laboratory testing as a proxy for disease transmission, including timeliness and consistency. In addition, very few studies attempted to control for confounding factors, including timing and implementation of public health interventions and metrics of population compliance with those interventions. Ongoing research should give greater consideration to the measures used to quantify COVID-19 transmission and health outcomes as well as how to control for the confounding influences of public health measures and personal behaviors.