Autor: |
Andrew J Beron, Joshua O Yukich, Andrea A Berry, Adolfo Correa, Joseph Keating, Matthew Bott, Thomas F Wierzba, William S Weintraub, DeAnna J Friedman-Klabanoff, Morgana Mongraw-Chaffin, Michael A Gibbs, Yhenneko J Taylor, Patricia J Kissinger, Devin V Hayes, John S Schieffelin, Brian K Burke, Richard A Oberhelman |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
PLoS ONE, Vol 19, Iss 9, p e0293787 (2024) |
Druh dokumentu: |
article |
ISSN: |
1932-6203 |
DOI: |
10.1371/journal.pone.0293787 |
Popis: |
ObjectiveWe aimed to investigate sociodemographic factors associated with self-reported COVID-19 infection.MethodsThe 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.ResultsOverall, 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.ConclusionsWe 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. |
Databáze: |
Directory of Open Access Journals |
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