Empirical Analysis of the Relationship Between Hospitalization and Mortality in Different Administrative Districts of New York City During the COVID-19 Pandemic

The COVID-19 pandemic has posed a severe threat to global public health, particularly in New York City, where the impact has been substantial. Against this backdrop, understanding the relationship between hospitalization and mortality, as well as how this relationship is influenced by the economic and healthcare conditions of different regions, becomes an urgent and important research topic. This study aims to explore the relationship between hospitalization and mortality in different administrative districts of New York City (Brooklyn, Bronx, Manhattan, Queens, and Staten Island) during the COVID-19 pandemic, and further analyze how economic development and healthcare conditions affect this relationship. Utilizing data provided by the New York City Department of Public Health, two differently configured regression models are employed for analysis. Model 1 solely considers the impact of hospitalization numbers on mortality numbers, while Model 2 further incorporates area and time as control variables. These findings not only provide significant insights into the geographical and socio-economic differences in the pandemic but also offer targeted suggestions for policy-making.