Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers: a cross-sectional study

BMJ Open. 2021 Feb 12;11(2):e043584. doi: 10.1136/bmjopen-2020-043584.

Abstract

Objective: We sought to determine the extent of SARS-CoV-2 seroprevalence and the factors associated with seroprevalence across a diverse cohort of healthcare workers.

Design: Observational cohort study of healthcare workers, including SARS-CoV-2 serology testing and participant questionnaires.

Settings: A multisite healthcare delivery system located in Los Angeles County.

Participants: A diverse and unselected population of adults (n=6062) employed in a multisite healthcare delivery system located in Los Angeles County, including individuals with direct patient contact and others with non-patient-oriented work functions.

Main outcomes: Using Bayesian and multivariate analyses, we estimated seroprevalence and factors associated with seropositivity and antibody levels, including pre-existing demographic and clinical characteristics; potential COVID-19 illness-related exposures; and symptoms consistent with COVID-19 infection.

Results: We observed a seroprevalence rate of 4.1%, with anosmia as the most prominently associated self-reported symptom (OR 11.04, p<0.001) in addition to fever (OR 2.02, p=0.002) and myalgias (OR 1.65, p=0.035). After adjusting for potential confounders, seroprevalence was also associated with Hispanic ethnicity (OR 1.98, p=0.001) and African-American race (OR 2.02, p=0.027) as well as contact with a COVID-19-diagnosed individual in the household (OR 5.73, p<0.001) or clinical work setting (OR 1.76, p=0.002). Importantly, African-American race and Hispanic ethnicity were associated with antibody positivity even after adjusting for personal COVID-19 diagnosis status, suggesting the contribution of unmeasured structural or societal factors.

Conclusion and relevance: The demographic factors associated with SARS-CoV-2 seroprevalence among our healthcare workers underscore the importance of exposure sources beyond the workplace. The size and diversity of our study population, combined with robust survey and modelling techniques, provide a vibrant picture of the demographic factors, exposures and symptoms that can identify individuals with susceptibility as well as potential to mount an immune response to COVID-19.

Keywords: COVID-19; infectious diseases; public health.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Antibodies, Viral / blood*
  • Bayes Theorem
  • COVID-19 / diagnosis*
  • COVID-19 / immunology
  • COVID-19 Serological Testing
  • Cohort Studies
  • Cross-Sectional Studies
  • Female
  • Health Personnel*
  • Humans
  • Los Angeles / epidemiology
  • Male
  • Middle Aged
  • SARS-CoV-2 / immunology
  • Seroepidemiologic Studies*

Substances

  • Antibodies, Viral