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PLoS One . Assessment of sociodemographic factors associated with time to self-reported COVID-19 infection among a large multi-center prospective co

tetano

Editor, Senior Moderator
PLoS One


. 2024 Sep 6;19(9):e0293787.
doi: 10.1371/journal.pone.0293787. eCollection 2024. 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

Andrew J Beron[SUP] 1 [/SUP], Joshua O Yukich[SUP] 1 [/SUP], Andrea A Berry[SUP] 2 [/SUP], Adolfo Correa[SUP] 3 [/SUP], Joseph Keating[SUP] 1 [/SUP], Matthew Bott[SUP] 4 [/SUP], Thomas F Wierzba[SUP] 5 [/SUP], William S Weintraub[SUP] 6 7 [/SUP], DeAnna J Friedman-Klabanoff[SUP] 2 [/SUP], Morgana Mongraw-Chaffin[SUP] 8 [/SUP], Michael A Gibbs[SUP] 9 [/SUP], Yhenneko J Taylor[SUP] 10 [/SUP], Patricia J Kissinger[SUP] 11 [/SUP], Devin V Hayes[SUP] 12 [/SUP], John S Schieffelin[SUP] 13 [/SUP], Brian K Burke[SUP] 4 [/SUP], Richard A Oberhelman[SUP] 1 [/SUP]



Affiliations
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.


 
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