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COVID-19 testing, case, and death rates and spatial socio-demographics in New York City: An ecological analysis as of June 2020.
Kim, Byoungjun; Rundle, Andrew G; Goodwin, Alicia T Singham; Morrison, Christopher N; Branas, Charles C; El-Sadr, Wafaa; Duncan, Dustin T.
  • Kim B; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States. Electronic address: bk2767@cumc.columbia.edu.
  • Rundle AG; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
  • Goodwin ATS; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
  • Morrison CN; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
  • Branas CC; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
  • El-Sadr W; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States; ICAP, Columbia University Mailman School of Public Health, New York, NY, United States.
  • Duncan DT; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Health Place ; 68: 102539, 2021 03.
Article in English | MEDLINE | ID: covidwho-1103922
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Socioeconomic Factors / Spatial Analysis / Built Environment / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Health Place Journal subject: Epidemiology / Public Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Socioeconomic Factors / Spatial Analysis / Built Environment / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Health Place Journal subject: Epidemiology / Public Health Year: 2021 Document Type: Article