COVID-19 testing, case, and death rates and spatial socio-demographics in New York City: An ecological analysis as of June 2020
Autor: | Andrew Rundle, Byoungjun Kim, Dustin T. Duncan, Wafaa El-Sadr, Charles C. Branas, Christopher N. Morrison, Alicia Singham Goodwin |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Health (social science)
Coronavirus disease 2019 (COVID-19) Socio demographics Geography Planning and Development Article 03 medical and health sciences 0302 clinical medicine COVID-19 Testing Residence Characteristics Humans 030212 general & internal medicine Spatial demography Ecological analysis Built Environment Spatial analysis Built environment Spatial Analysis 030505 public health Neighborhood Mortality rate Public Health Environmental and Occupational Health Spatial epidemiology COVID-19 Regression analysis Geography Socioeconomic Factors New York City 0305 other medical science Demography |
Zdroj: | Health & Place |
ISSN: | 1873-2054 1353-8292 |
Popis: | We assessed the geographic variation in socio-demographics, mobility, and built environmental factors in relation to COVID-19 testing, case, and death rates in New York City (NYC). COVID-19 rates (as of June 10, 2020), relevant socio-demographic information, and built environment characteristics were aggregated by ZIP Code Tabulation Area (ZCTA). Spatially adjusted multivariable regression models were fitted to account for spatial autocorrelation. The results show that different sets of neighborhood characteristics were independently associated with COVID-19 testing, case, and death rates. For example, the proportions of Blacks and Hispanics in a ZCTA were positively associated with COVID-19 case rate. Contrary to the conventional hypothesis, neighborhoods with low-density housing experienced higher COVID-19 case rates. In addition, demographic changes (e.g. out-migration) during the pandemic may bias the estimates of COVID-19 rates. Future research should further investigate these neighborhood-level factors and their interactions over time to better understand the mechanisms by which they affect COVID-19. |
Databáze: | OpenAIRE |
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