Geographic disparities and determinants of COVID-19 incidence risk in the greater St. Louis Area, Missouri (United States).
In: PLoS ONE, Vol 17, Iss 9, p e0274899 (2022, Jg. 17 (2022), Heft 9, p e0274899
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Zugriff:
Background Evidence seems to suggest that the risk of Coronavirus Disease 2019 (COVID-19) might vary across communities due to differences in population characteristics and movement patterns. However, little is known about these differences in the greater St Louis Area of Missouri and yet this information is useful for targeting control efforts. Therefore, the objectives of this study were to investigate (a) geographic disparities of COVID-19 risk and (b) associations between COVID-19 risk and socioeconomic, demographic, movement and chronic disease factors in the Greater St. Louis Area of Missouri, USA. Methods Data on COVID-19 incidence and chronic disease hospitalizations were obtained from the Department of Health and Missouri Hospital Association, respectively. Socioeconomic and demographic data were obtained from the 2018 American Community Survey while population mobility data were obtained from the SafeGraph website. Choropleth maps were used to identify geographic disparities of COVID-19 risk and several sociodemographic and chronic disease factors at the ZIP Code Tabulation Area (ZCTA) spatial scale. Global negative binomial and local geographically weighted negative binomial models were used to investigate associations between ZCTA-level COVID-19 risk and socioeconomic, demographic and chronic disease factors. Results There were geographic disparities found in COVID-19 risk. Risks tended to be higher in ZCTAs with high percentages of the population with a bachelor's degree (p<0.0001) and obesity hospitalizations (p<0.0001). Conversely, risks tended to be lower in ZCTAs with high percentages of the population working in agriculture (p<0.0001). However, the association between agricultural occupation and COVID-19 risk was modified by per capita between ZCTA visits. Areas that had both high per capita between ZCTA visits and high percentages of the population employed in agriculture had high COVID-19 risks. The strength of association between agricultural occupation and COVID-19 risk varied by .
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Geographic disparities and determinants of COVID-19 incidence risk in the greater St. Louis Area, Missouri (United States).
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Autor/in / Beteiligte Person: | Das, Praachi ; Igoe, Morganne ; Lenhart, Suzanne ; Luong, Lan ; Lanzas, Cristina ; Alun L Lloyd ; Odoi, Agricola |
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Zeitschrift: | PLoS ONE, Vol 17, Iss 9, p e0274899 (2022, Jg. 17 (2022), Heft 9, p e0274899 |
Veröffentlichung: | Public Library of Science (PLoS) ; Public Library of Science, 2022 |
Medientyp: | academicJournal |
DOI: | 10.1371/journal.pone.0274899 |
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