An Ecological Analysis of COVID-19 in New York City as of June, 2020


Featuring past PISC trainee Christopher Morrison, PhD and PISC External Advisory Board member Charles Branas, PhD, this study analyzed COVID-19 rates as of June, 2020, relevant socio-demographic information, and built environment characteristics, all aggregated by ZIP Code Tabulation Area (ZCTA). It found that different sets of neighborhood characteristics were independently associated with COVID-19 rates; for example, ZCTAs with low-density housing in fact experienced higher COVID-19 case rates, among other results. The study ultimately acknowledges that demographic changes such as people leaving the community during the pandemic may have biased COVID-19 rate estimates, and that more investigation is required to better understand the mechanisms by which certain neighborhood-level factors affect COVID-19.


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