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Race and Ethnicity Commons

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2021

Series

Department of Sociology: Faculty Publications

Articles 1 - 2 of 2

Full-Text Articles in Race and Ethnicity

Examining Spatial Inequality In Covid-19 Positivity Rates Across New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Yunhan Zhao, Seung-Won Emily Choi May 2021

Examining Spatial Inequality In Covid-19 Positivity Rates Across New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Yunhan Zhao, Seung-Won Emily Choi

Department of Sociology: Faculty Publications

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 …


Face Masking Violations, Policing, And Covid-19 Death Rates: A Spatial Analysis In New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Stephen A. Matthews Jan 2021

Face Masking Violations, Policing, And Covid-19 Death Rates: A Spatial Analysis In New York City Zip Codes, Tse-Chuan Yang, Seulki Kim, Stephen A. Matthews

Department of Sociology: Faculty Publications

The use of face masks during a pandemic and compliance with state and local mandates has been a divisive issue in the United States. We document variation in face masking violation rates involving police enforcement in New York City and examine the association between police-enforced face masking violations and COVID-19-related death rates. We assemble a Zone Improvement Plan (ZIP) code–level data set from the New York City Open Data, Department of Health, and the American Community Survey (2014–2018). We use maps to demonstrate the spatial patterning of police-enforced face masking violation rates and COVID-19-related death rates. Using a Bayesian spatial …