Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113539
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Title: Dynamic analysis for enhancing urban resilience against public health emergencies of international concern
Authors: Qin, RZ
Cui, P
Zhou, SH
Zhang, F 
Issue Date: Dec-2024
Source: Land, Dec. 2024, v. 13, no. 12, 2220
Abstract: The frequent occurrence of Public Health Emergencies of International Concern (PHEIC) has posed significant challenges to urban public health, economic, and social systems, exposing gaps in urban resilience. This study developed a dynamic urban resilience assessment framework against PHEIC based on the system dynamics method, integrating index analysis and the SEIR (susceptible-exposed-infectious-recovered) epidemiological model to investigate the interactions and dynamic evolution of urban subsystems in New York, Hong Kong, and Nanjing during the COVID-19 epidemic. The findings revealed significant differences in the response mechanisms and recovery capacities across subsystems. For example, the stringent lockdowns policy in New York curbed virus spread and heavily impacted economic activities; the close to Dynamic zero of COVID-19 policy in Hong Kong demonstrated stronger resilience in balancing public health and economic recovery; the dynamic control measures in Nanjing China allowed for the rapid restoration of urban functions with minimal resilience fluctuations. Although strict control measures can effectively suppress disease spread, they can have profound economic and social impacts. More scientific strategies, such as those seen in Hong Kong and Nanjing, offer a more balanced approach to managing both epidemic control and urban function recovery, providing key insights for future PHEIC response strategies.
Keywords: Urban resilience
System dynamics
PHEIC
Emergency management
Epidemic simulation
Publisher: MDPI AG
Journal: Land 
EISSN: 2073-445X
DOI: 10.3390/land13122220
Rights: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Qin, R., Cui, P., Zhou, S., & Zhang, F. (2024). Dynamic Analysis for Enhancing Urban Resilience Against Public Health Emergencies of International Concern. Land, 13(12), 2220 is available at https://dx.doi.org/10.3390/land13122220.
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