Measuring and optimizing the urban community resilience against public health emergencies: a case study in Nanjing, China
Year: 2025
Type: article
Abstract: Introduction: Urban communities, as the basic unit of urban governance, play a crucial role in responding to public health emergencies (PHEs). This study aims to investigate the resilience measurement and optimization strategies of urban communities in responding to PHEs in order to improve their resilience. Methods: The study constructed a resilience assessment framework and identified 31 key influencing factors to measure the resilience of case communities in Nanjing. Through sensitivity analysis, static optimization strategies were proposed from social, environmental, and economic levels. Dynamic Bayesian network inference simulation and importance analysis were used to propose dynamic optimization strategies from pre, during, and long-term perspectives. Results: Through the combination of dynamic and static strategies, community managers promote resilience building from both short-term and long-term perspectives. Discussion: The study provides a valuable reference for comprehensively improving the emergency management system.
Source: Frontiers in Public Health
Authors: Peng Cui, Saiya Cao, Ruize Qin, Fan Zhang, Dezhi Li, Lan Feng
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,801
Award: G7941953797
OpenAlex ID: W4415237374