Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Abstract

COVID-19 has posed a significantly severe impact on both people’s lives and the global economic development. Increasing the community epidemic resilience will considerably improve the national public health emergency response capacity from bottom to top. This study identifies the influencing factors of community epidemic resilience through systematic literature review under the 4R framework, then obtains the relationships of influencing factors through Interpretive structural model, and finally assesses the performance of epidemic resilience using PROMETHEE II method through empirical cases in Nanjing, China. The results show that: (1) Eight factors influencing the epidemic resilience of community are identified, and the economic level plays the root role; (2) Community epidemic resilience can be improved from robustness, rapidity, redundancy and resourcefulness aspects; (3) Through the empirical analysis, the epidemic resilience ranking of community can be displayed (Community D > T > S > F); (4) Additionally, the performance and sensitivity analysis of influencing factors in each community can be demonstrated. (5) Finally, four implications are proposed, namely, allocating public resources rationally, significantly increasing the economic level, ensuring the accuracy of information delivery and conducting disaster learning.

Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China

“…The CEPCC is closely intertwined with their resilience in the face of crises. Resilient communities have demonstrated stronger resistance and recover quicker than traditional communities amidst the impact of epidemics (14). Since the outbreak of COVID-19, numerous scholars have researched the factors that impact the CEPCC.…”

“…Galbusera et al identified infrastructure as a critical factor that influences the ability of urban communities to combat epidemics, including elements such as basic necessities, protective equipment, public health resources, and emotional resources (15). Furthermore, Cui et al conducted comprehensive research on the CEPCC and concluded that economic level, social networks, emergency response and daily management, medical resources and public services, as well as experiences in disasters and information technology, are key factors that influence this capacity, in addition to the availability of hardware and software resources such as infrastructure and management capacity (14). On the other hand, some scholars have highlighted the role of the government in influencing the CEPCC.…”

Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China

“…Cui et al, argue that a resilient city must demonstrate four characteristics: robustness, redundancy, rapidity, and resourcefulness [13]. A multi-perspective resilience approach based on the 4R framework provides a holistic view of a city's resilience performance in response to public health disasters.…”

“…After consulting and organizing existing policies and research, this paper identifies eight resilience assessment indicators, including economic level, social network, emergency response, daily management, medical resources, public service resources, experience in disaster, and information technology, which are illustrated in Figure 2 [13,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48]. Economic level and social network are regarded as constituting robustness.…”

“…It raises awareness among stakeholders of the potential hazards posed by disasters and the efficacy of alternative emergency measures [67,68]. Additionally, information technology enables daily communication and makes it convenient for people to obtain timely and reliable information about effective prevention and control measures [13].…”