The role of occupation in SARS-CoV-2 infection within a Brazilian municipality: A test-negative case-control study

Am J Ind Med. 2023 Dec;66(12):1090-1100. doi: 10.1002/ajim.23542. Epub 2023 Oct 4.

Abstract

Objective: To investigate the association between occupation and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections within a Brazilian municipality.

Methods: In this test-negative study, cases and controls were randomly selected among individuals aged 18-65 years that were registered in a primary health care program in São Caetano do Sul, Brazil. Those who had collected samples for RT-PCR testing between April 2020 and May 2021 were randomly selected to compose the case (positive for SARS-CoV-2) and control (negative for SARS-CoV-2) groups, frequency-matched by sex, age group, and month of sample collection. Complementary data were collected through phone interviews. We estimated the residual effect of occupation on SARS-CoV-2 infection using multiple conditional logistic regression models incrementally adjusted for confounding variables.

Results: 1724 cases and 1741 controls who reported being at work at the time of RT-PCR collection were included. Cases were mainly females (52.9%), Whites/Asians (73.3%), and unvaccinated against COVID-19 (46.6%). Compared to other university-level professionals, the highest odds of having COVID-19 were found for workers in police and protective services (odds ratio [OR] 2.21; 95% confidence interval [CI] 1.27-3.84), healthcare and caregiving (OR 1.90; 95% CI 1.34-2.68), and food retail and production (OR 1.88; 95% CI = 1.14-3.11), after adjustment for age, sex, education, means of transport, household crowding, and COVID-19 vaccination.

Conclusion: Occupation played an important role in SARS-CoV-2 infection. Food retail and production, health care and caregiving, and police and protective services showed the highest odds of SARS-CoV-2 infection.

Keywords: Brazil; COVID-19; SARS-CoV-2; case-control studies; occupational exposure; occupational groups.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil / epidemiology
  • COVID-19 Vaccines
  • COVID-19* / epidemiology
  • Case-Control Studies
  • Crowding
  • Family Characteristics
  • Female
  • Humans
  • Male
  • Occupations
  • SARS-CoV-2

Substances

  • COVID-19 Vaccines