Occupational
Covid-19 burden and vaccination coverage trends in the Mexican Social Security Institute workforce: A nationwide cohort study using linked administrative data Edgar Ortiz Brizuela* Edgar Ortiz Brizuela
Background: The Covid-19 pandemic placed immense demands on global healthcare systems, disproportionately affecting healthcare workers (HCWs). In Mexico, where resources were limited compared to OECD averages, the pandemic’s impact was severe, particularly for the workforce of the Mexican Institute of Social Security (IMSS), the largest healthcare institution in the country. This study aims to describe the pandemic’s effects on IMSS personnel by estimating the incidence of SARS-CoV-2 infection, progression to hospitalization and death, and trends in Covid-19 vaccination coverage from February 28, 2020, to May 9, 2023.
Methods: We will employ an open and closed cohort designs, leveraging linked administrative datasets. The closed cohort will provide cumulative incidence estimates, computed using pooled logistic regression with inverse probability of censoring weighting to address potential bias. The open cohort will allow for the dynamic nature of the IMSS workforce, estimating incidence rates using Poisson regression. Analysis will be presented overall and stratified by geographic location, work unit type, and job category. The study population includes over 450,000 IMSS employees, spanning healthcare and non-healthcare roles. SARS-CoV-2 infections, hospitalizations, and deaths will be identified through epidemiologic surveillance, hospital discharge records, and death certificates. Vaccination data were sourced from institutional and national registries.
Conclusion: This comprehensive analysis will highlight the pandemic’s burden on the IMSS workforce. The findings inform future preparedness strategies, guiding resource allocation, infection prevention, and support for healthcare workers in similar settings.