Quantifying the magnitude of the general contextual effect in a multilevel study of SARS-CoV-2 infection in Ontario, Canada: application of the median rate ratio in population health research
The individual- and area-level characteristics in our study accounted for approximately 40% of the between-region variation in SARS-CoV-2 infection rates measured by MRR in Ontario, Canada. These findings suggest that population-based policies to address social determinants of health that attenuate the MRR may reduce the observed between-region heterogeneity in SARS-CoV-2 infection rates.
Authors
- Tristan Watson (ORCID: https://orcid.org/0000-0001-8257-4216)
- Kathy Kornas (ORCID: https://orcid.org/0000-0002-5832-7335)
- Laura C. Rosella (ORCID: https://orcid.org/0000-0003-4867-869X)
- Jeffrey C. Kwong (ORCID: https://orcid.org/0000-0002-7820-2046)
- Sharmistha Mishra (ORCID: https://orcid.org/0000-0001-8492-5470)
Institutions
- St. Michael's Hospital (CA)
- University Health Network (CA)
- University of Toronto (CA)
- Trillium Health Centre (CA)
- Canada Research Chairs (CA)
- Public Health Ontario (CA)
Publication Details
- Journal
- Population Health Metrics
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1186/s12963-024-00348-8
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.40