Student Theses
Date of Award
Spring 5-11-2022
Document Type
Thesis
Language
English
First Advisor
Dr Nerve Macaspac
Abstract
COVID-19 has had diverging effects in New York City. Out of the five boroughs, Staten Island has one of the largest percentages of COVID-19 cases relative to population. This research examines key social and spatial factors that contribute to the increase in COVID-19 cases in Staten Island). It asks: Which parts of Staten Island have higher rates of transmission of COVID-19? Which parts of the borough have higher population who are more vulnerable to COVID-19? What is the relationship between the location of vaccination centers with the rates of COVID-19 cases? Using Geographic Information Systems (GIS), this research examines the spatial relationships and patterns of COVID-19 cases, deaths, hospitalizations, vaccinations, and key indicators of high-risk transmission or vulnerability such as population density or access to vaccination centers. For instance, this research suggests that there is a direct relationship between zip codes with a higher density of individuals and more COVID-19 cases. Another finding is that zip codes with at least four vaccination centers have lower COVID-19 cases. This research contributes to our understanding of the uneven geographies of the global COVID-19 pandemic in New York City and informs borough-specific policies in preventing further transmissions.
Recommended Citation
Mezzio, Vincenzo, "Mapping the COVID-19 Pandemic in Staten Island" (2022). CUNY Academic Works.
https://academicworks.cuny.edu/si_etds/13