Author ORCID Identifier

https://orcid.org/0000-0003-1761-3439

Date of Award

Spring 12-14-2022

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Geosciences

First Advisor

Katherine Hankins

Second Advisor

Erin Ruel

Third Advisor

Chetan Tiwari

Abstract

Studies have shown that the social and physical environments are strong predictors of the health of the urban population. This study investigates if racial residential segregation has any impact on the poor health outcome of residents in light of the COVID-19 pandemic. This is a cross-sectional study with 8, 668, 744 observations at the individual level. The hierarchical logistic regression conducted to investigate the association between race and residential segregation with COVID-19 mortality showed that a one unit increase in segregation is associated with a 1 % increase in mortality. Furthermore, people from Black and Asian ethnic communities were more likely than Whites to die from COVID-19, but Hispanics were less likely to die. This study has limitations such as a modifiable aerial unit problem, as county-level segregation indices were used for the analysis.

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