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Trajectory Modeling of Spatio-Temporal Trends in COVID-19 Incidence in Flint and Genesee County, Michigan.
- Source :
-
Annals of Epidemiology . Mar2022, Vol. 67, p29-34. 6p. - Publication Year :
- 2022
-
Abstract
- <bold>Purpose: </bold>The establishment of community-academic partnerships to digest data and create actionable policy and advocacy steps is of continuing importance. In this paper, we document COVID-19 racial and geographic disparities uncovered via a collaboration between a local health department and university research center.<bold>Methods: </bold>We leverage individual level data for all COVID-19 cases aggregated to the census block group level, where group-based trajectory modeling was employed to identify latent patterns of change and continuity in COVID-19 diagnoses.<bold>Results: </bold>Linking with socioeconomic data from the census, we identified the types of communities most heavily affected by each of Michigan's two waves (in spring and fall of 2020). This includes a geographic and racial gap in COVID-19 cases during the first wave, which is largely eliminated during the second wave.<bold>Conclusions: </bold>Our work has been extremely valuable for community partners, informing community-level response toward testing, treatment, and vaccination. In particular, identifying and conducting advocacy on the sizeable racial disparity in COVID-19 cases during the first wave in spring 2020 helped our community nearly eliminate disparities throughout the second wave in fall 2020. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10472797
- Volume :
- 67
- Database :
- Academic Search Index
- Journal :
- Annals of Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 155905346
- Full Text :
- https://doi.org/10.1016/j.annepidem.2021.12.005