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Incidence and Prevalence of Coronavirus Disease 2019 Within a Healthcare Worker Cohort During the First Year of the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic
- Doernberg, Sarah B;
- Holubar, Marisa;
- Jain, Vivek;
- Weng, Yingjie;
- Lu, Di;
- Bollyky, Jenna B;
- Sample, Hannah;
- Huang, Beatrice;
- Craik, Charles S;
- Desai, Manisha;
- Rutherford, George W;
- Maldonado, Yvonne;
- Bhargava, Parul;
- Bohn, Markus;
- Chao, Jessica;
- Craik, Charles S;
- Doernberg, Sarah B;
- Ghahremani, Jacob;
- Glidden, David;
- Gonzales, Ralph;
- Huang, Beatrice;
- Jaladanki, Sravya;
- Julien, Aida;
- Lowenstein, Daniel;
- Miller, Steve;
- Mustoe, Audrey;
- Paoletti, Marcus;
- Rutherford, George W;
- Sample, Hannah;
- Villa, Rodolfo;
- Wan, Emerald;
- Williams, Aimee;
- Brown, Lillian;
- Chuang, Jessica;
- Jain, Vivek;
- Marquez, Carina;
- Padda, Guntas;
- Rubio, Luis;
- Valdivieso, Daisy;
- Abad, Rosebay;
- Bet, Anthony;
- Bollyky, Jenna;
- Desai, Manisha;
- Fung, Jeffrey;
- Graber, Anna;
- Holderman, Cole;
- Holubar, Marisa;
- Kelley, Hannah;
- Kempema, Amanda;
- Kong, Christina;
- Leung, Christopher;
- Lohmann, Joseph;
- Lu, Di;
- Maldonado, Yvonne;
- Minor, Lloyd;
- Orozco, Lorena;
- Pinsky, Benjamin A;
- Saxeena, Jamie;
- Sklar, Matthew;
- Tang, Hilary;
- Wiese, Jasmine;
- Weng, Yingjie;
- Crawford, Emily;
- DeRisi, Joe
- et al.
Published Web Location
https://doi.org/10.1093/cid/ciac210Abstract
Background
Preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2_ infections in healthcare workers (HCWs) is critical for healthcare delivery. We aimed to estimate and characterize the prevalence and incidence of coronavirus disease 2019 (COVID-19) in a US HCW cohort and to identify risk factors associated with infection.Methods
We conducted a longitudinal cohort study of HCWs at 3 Bay Area medical centers using serial surveys and SARS-CoV-2 viral and orthogonal serological testing, including measurement of neutralizing antibodies. We estimated baseline prevalence and cumulative incidence of COVID-19. We performed multivariable Cox proportional hazards models to estimate associations of baseline factors with incident infections and evaluated the impact of time-varying exposures on time to COVID-19 using marginal structural models.Results
A total of 2435 HCWs contributed 768 person-years of follow-up time. We identified 21 of 2435 individuals with prevalent infection, resulting in a baseline prevalence of 0.86% (95% confidence interval [CI], .53%-1.32%). We identified 70 of 2414 incident infections (2.9%), yielding a cumulative incidence rate of 9.11 cases per 100 person-years (95% CI, 7.11-11.52). Community contact with a known COVID-19 case was most strongly correlated with increased hazard for infection (hazard ratio, 8.1 [95% CI, 3.8-17.5]). High-risk work-related exposures (ie, breach in protective measures) drove an association between work exposure and infection (hazard ratio, 2.5 [95% CI, 1.3-4.8). More cases were identified in HCWs when community case rates were high.Conclusions
We observed modest COVID-19 incidence despite consistent exposure at work. Community contact was strongly associated with infections, but contact at work was not unless accompanied by high-risk exposure.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
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