Socio-economic determinants of Sars-CoV-2 infection
Results from a population-based cross-sectional serosurvey in Geneva, Switzerland
Bibliographic Data
| ID | 22075337 |
|---|---|
| Authors | Hugo-Alejandro Santa-Ramírez (0000-0001-7535-9171, University Hospital of Geneva), Ania Wisniak (0000-0002-3942-2134, University of Geneva), Nick Pullen (0000-0002-4014-9278, University Hospital of Geneva), María-Eugenia Zaballa (0000-0002-0613-9519, University Hospital of Geneva), Francesco Pennacchio (0000-0002-8794-9328, University Hospital of Geneva), Elsa Lorthe (0000-0002-9654-8104, University Hospital of Geneva), Roxane Dumont (0000-0001-5910-9025, University Hospital of Geneva), Hélène Baysson (0000-0003-4676-4500, University Hospital of Geneva), Idris Guessous (0000-0002-0491-6089, University of Geneva), Silvia Stringhini (0000-0002-4387-8943, University of Geneva, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 874252-874252 |
| Publication date | 2022-09-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.874252 |
| PMID | 36211707 |
| OpenAlex | W4296999124 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
Background: SARS-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. Methods: Data 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. Results: Two 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. Discussion: While 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
Cross-sectional study · Disadvantaged · Disease · Environmental health · Ethnic group · Geography · Household income · Logistic regression · Odds · Odds ratio · Pandemic · Population · Socioeconomic status · COVID-19 and Mental Health · COVID-19 epidemiological studies · Demography · Medicine · SARS-CoV-2 and COVID-19 Research · Gerontology
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |