Frontiers in Public Health (Sep 2022)

Socio-economic determinants of SARS-CoV-2 infection: Results from a population-based cross-sectional serosurvey in Geneva, Switzerland

  • Hugo-Alejandro Santa-Ramírez,
  • Ania Wisniak,
  • Ania Wisniak,
  • Nick Pullen,
  • María-Eugenia Zaballa,
  • Francesco Pennacchio,
  • Elsa Lorthe,
  • Roxane Dumont,
  • Hélène Baysson,
  • Idris Guessous,
  • Idris Guessous,
  • Silvia Stringhini,
  • Silvia Stringhini,
  • Silvia Stringhini

DOI
https://doi.org/10.3389/fpubh.2022.874252
Journal volume & issue
Vol. 10

Abstract

Read online

BackgroundSARS-CoV-2 infection and its health consequences have disproportionally affected disadvantaged socio-economic groups globally. This study aimed to analyze the association between socio-economic conditions and having developed antibodies for-SARS-CoV-2 in a population-based sample in the canton of Geneva, Switzerland.MethodsData was obtained from a population-based serosurvey of adults in Geneva and their household members, between November and December, 2020, toward the end of the second pandemic wave in the canton. Participants were tested for antibodies for-SARS-CoV-2. Socio-economic conditions representing different dimensions were self-reported. Mixed effects logistic regressions were conducted for each predictor to test its association with seropositive status as the main outcome.ResultsTwo thousand eight hundred and eighty-nine adults completed the study questionnaire and were included in the final analysis. Retired participants and those living in suburban areas had lower odds of a seropositive result when compared to employed participants (OR: 0.42, 95% CI: 0.20–0.87) and those living in urban areas (OR: 0.67, 95% CI: 0.46–0.97), respectively. People facing financial hardship for less than a year had higher odds of a seropositive result compared to those who had never faced them (OR: 2.23, 95% CI: 1.01–4.95). Educational level, occupational position, and household income were not associated with being seropositive, nor were ethnicity or country of birth.DiscussionWhile conventional measures of socio-economic position did not seem to be related to the risk of being infected in this sample, this study sheds lights on the importance of examining the broader social determinants of health when evaluating the differential impact of the pandemic within the population.

Keywords