Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 73 , 05 March 2024


Open Access | Article

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

Zhonghan Pan * 1
1 Engineering of Management, Stevens Institute of Technology, Hoboken, NJ, United Stat

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 73, 150-157
Published 05 March 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zhonghan Pan. Empirical Analysis of the Relationship Between Hospitalization and Mortality in Different Administrative Districts of New York City During the COVID-19 Pandemic. AEMPS (2024) Vol. 73: 150-157. DOI: 10.54254/2754-1169/73/20231619.

Abstract

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.

Keywords

COVID-19, New York city, hospitalization and mortality, economic and healthcare conditions

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-319-7
ISBN (Online)
978-1-83558-320-3
Published Date
05 March 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/73/20231619
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated