Examining Spatial Inequality in COVID-19 Positivity Rates Across New York City ZIP Codes

Overview

Journal Health Place

Publisher Elsevier

Specialty Public Health

Date 2021 Apr 25

PMID 33895489

Citations 12

Authors

Tse-Chuan Yang

Seulki Kim

Yunhan Zhao

Seung-Won Emily Choi

Affiliations

Soon will be listed here.

Abstract

We aim to understand the spatial inequality in Coronavirus disease 2019 (COVID-19) positivity rates across New York City (NYC) ZIP codes. Applying Bayesian spatial negative binomial models to a ZIP-code level dataset (N = 177) as of May 31st, 2020, we find that (1) the racial/ethnic minority groups are associated with COVID-19 positivity rates; (2) the percentages of remote workers are negatively associated with positivity rates, whereas older population and household size show a positive association; and (3) while ZIP codes in the Bronx and Queens have higher COVID-19 positivity rates, the strongest spatial effects are clustered in Brooklyn and Manhattan.

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