Examining spatial inequality in COVID-19 positivity rates across New York City ZIP codes.
Health Place
; 69: 102574, 2021 05.
Article
in English
| MEDLINE | ID: covidwho-1188586
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Ethnicity
/
Residence Characteristics
/
Health Status Disparities
/
COVID-19
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
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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