Literature DB >> 33374318

The Influence of COVID-19 on Community Disaster Resilience.

Wenping Xu1, Lingli Xiang1, David Proverbs2, Shu Xiong1.   

Abstract

Global pandemics, such as the Coronavirus Disease 2019 (COVID-19), have serious harmful effects on people's physical health and mental well-being. It is imperative therefore that we seek to understand community resilience and identify ways to enhance this, especially within our cities and communities. Therefore, great emphasis is now placed on how cities prepare for and recover from such disasters, and community resilience has emerged as a key consideration. Drawing upon research on the theory of resilience, this study seeks to identify the factors that influence community resilience and to analyze their causation toward helping to manage the risks associated with the COVID-19 pandemic. Seventeen factors from the five dimensions of social capital, economic capital, physical environment, demographic characteristics, and institutional factors are used to construct an index system. This is used to establish the structural level and importance of each factor. Data were collected using a questionnaire survey involving 12,000 members of key community groups in the city of Wuhan. An interpretative structural model (ISM) combining the analytic hierarchy process (AHP) method was then used to obtain the multi-level hierarchical structure composed of direct factors, indirect factors, and fundamental factors. The results show that the income level, vulnerability of the population, and the built environment are the main factors that affect the resilience of communities affected by COVID-19. These findings provide useful guidance toward the effective planning and design of urban construction and infrastructure. The results are expected to be useful to inform future decision-making and toward the long term, sustainable management of the risks posed by COVID-19.

Entities:  

Keywords:  COVID-19; ISM-AHP model; community disaster resilience; key factors

Year:  2020        PMID: 33374318     DOI: 10.3390/ijerph18010088

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  4 in total

1.  Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review.

Authors:  Liu Yang; Michiyo Iwami; Yishan Chen; Mingbo Wu; Koen H van Dam
Journal:  Prog Plann       Date:  2022-03-09

2.  Global Experiences of Community Responses to COVID-19: A Systematic Literature Review.

Authors:  Yijin Wu; Quan Zhang; Meiyu Li; Qingduo Mao; Linzi Li
Journal:  Front Public Health       Date:  2022-07-19

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

Authors:  Peng Cui; Yi Liu; Xuan Ju; Tiantian Gu
Journal:  Int J Environ Res Public Health       Date:  2022-08-13       Impact factor: 4.614

4.  Perceived stress during COVID-19: Community resilience three years before the pandemic as a protective factor.

Authors:  Ohad Gilbar; Marc Gelkopf; Talya Greene
Journal:  Int J Disaster Risk Reduct       Date:  2022-10-04       Impact factor: 4.842

  4 in total

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