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

Author

Listed:
  • Peng Cui

    (Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yi Liu

    (Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Xuan Ju

    (Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Tiantian Gu

    (Department of Engineering Management, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, 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.

Suggested Citation

  • Peng Cui & Yi Liu & Xuan Ju & Tiantian Gu, 2022. "Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:9993-:d:887380
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    References listed on IDEAS

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    1. Shade T Shutters & Rachata Muneepeerakul & José Lobo, 2015. "Quantifying urban economic resilience through labour force interdependence," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15010-15010, May.
    2. Cristiano, S. & Ulgiati, S. & Gonella, F., 2021. "Systemic sustainability and resilience assessment of health systems, addressing global societal priorities: Learnings from a top nonprofit hospital in a bioclimatic building in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    3. Xiaolin Xun & Yongbo Yuan, 2020. "Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 557-577, August.
    4. Kyujin Jung & Minsun Song, 2015. "Linking emergency management networks to disaster resilience: bonding and bridging strategy in hierarchical or horizontal collaboration networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1465-1483, July.
    5. Katarzyna Czabanowska & Ellen Kuhlmann, 2021. "Public health competences through the lens of the COVID‐19 pandemic: what matters for health workforce preparedness for global health emergencies," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(S1), pages 14-19, May.
    6. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    7. Yu Chen & Mengke Zhu & Qian Zhou & Yurong Qiao, 2021. "Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model," IJERPH, MDPI, vol. 18(3), pages 1-26, January.
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    Cited by:

    1. Xin Ma & Fen Jia, 2024. "Spatiotemporal Evolution and Convergence Analysis of Urban Economic Resilience in China—A Case Study of Jiangsu Province," Sustainability, MDPI, vol. 16(21), pages 1-19, October.

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