1. Assessment of sociodemographic factors associated with time to self-reported COVID-19 infection among a large multi-center prospective cohort population in the southeastern United States.
- Author
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Beron, Andrew J., Yukich, Joshua O., Berry, Andrea A., Correa, Adolfo, Keating, Joseph, Bott, Matthew, Wierzba, Thomas F., Weintraub, William S., Friedman-Klabanoff, DeAnna J., Mongraw-Chaffin, Morgana, Gibbs, Michael A., Taylor, Yhenneko J., Kissinger, Patricia J., Hayes, Devin V., Schieffelin, John S., Burke, Brian K., and Oberhelman, Richard A.
- Subjects
SARS-CoV-2 ,MEDICAL personnel ,COVID-19 ,COVID-19 pandemic ,VIRUS diseases - Abstract
Objective: We aimed to investigate sociodemographic factors associated with self-reported COVID-19 infection. Methods: The study population was a prospective multicenter cohort of adult volunteers recruited from healthcare systems located in the mid-Atlantic and southern United States. Between April 2020 and October 2021, participants completed daily online questionnaires about symptoms, exposures, and risk behaviors related to COVID-19, including self-reports of positive SARS CoV-2 detection tests and COVID-19 vaccination. Analysis of time from study enrollment to self-reported COVID-19 infection used a time-varying mixed effects Cox-proportional hazards framework. Results: Overall, 1,603 of 27,214 study participants (5.9%) reported a positive COVID-19 test during the study period. The adjusted hazard ratio demonstrated lower risk for women, those with a graduate level degree, and smokers. A higher risk was observed for healthcare workers, those aged 18–34, those in rural areas, those from households where a member attends school or interacts with the public, and those who visited a health provider in the last year. Conclusions: We identified subgroups within healthcare network populations defined by age, occupational exposure, and rural location reporting higher than average rates of COVID-19 infection for our surveillance population. These subgroups should be monitored closely in future epidemics of respiratory viral diseases. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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