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Community Resilience Governance on Public Health Crisis in China

The COVID-19 pandemic has immensely affected economic and social order in not only China but the entire world, seriously threatening peoples’ lives and property. In China’s fight against COVID-19, the community is at the front line of joint prevention and control of the disease, yet it faces the pro...

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Autores principales: Wang, Chao, Dong, Xuan, Zhang, Yan, Luo, Yiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926474/
https://www.ncbi.nlm.nih.gov/pubmed/33671618
http://dx.doi.org/10.3390/ijerph18042123
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author Wang, Chao
Dong, Xuan
Zhang, Yan
Luo, Yiwen
author_facet Wang, Chao
Dong, Xuan
Zhang, Yan
Luo, Yiwen
author_sort Wang, Chao
collection PubMed
description The COVID-19 pandemic has immensely affected economic and social order in not only China but the entire world, seriously threatening peoples’ lives and property. In China’s fight against COVID-19, the community is at the front line of joint prevention and control of the disease, yet it faces the problem of insufficient resilience. We explored the manifestations and formation mechanism of the problem of insufficient resilience in community public health crisis governance, based on the complex adaptive system theory, which emphasizes interaction among subjects and between subjects and the environment to improve the adaptability to the environment. Questionnaires and in-depth interviews were conducted in 28 counties (districts) of 14 cities of 7 provinces in China; 2345 questionnaires and 71 interview data were collected, and we conducted descriptive statistical analysis on questionnaire data. It is found that some communities faced insufficient resilience problems such as “simply isolating households and communities”, “blindly setting limits”, “layer-by-layer law”, and “rejecting and repelling all individuals from or even related to Hubei”. These problems are due to the fact that the community have a non-interactive relationship, which is a one-dimensional linear governance model to some extent. The legal content of the building of a “comprehensive disaster-reduction demonstration community” implemented by the Chinese government is compelled to stay at the level of system design to some extent, with its existence playing an ornamental role but lacking a substantial one. In this regard, this study suggests that a resilient governance model of community pluralistic cooperation be established based on the theoretical framework of complex adaptive system. This model is designed to increase the resilience of community public health crisis governance. The authoritative role of central and local policies is expected to be truly developed and played in dealing with the grassroots community public health crisis.
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spelling pubmed-79264742021-03-04 Community Resilience Governance on Public Health Crisis in China Wang, Chao Dong, Xuan Zhang, Yan Luo, Yiwen Int J Environ Res Public Health Article The COVID-19 pandemic has immensely affected economic and social order in not only China but the entire world, seriously threatening peoples’ lives and property. In China’s fight against COVID-19, the community is at the front line of joint prevention and control of the disease, yet it faces the problem of insufficient resilience. We explored the manifestations and formation mechanism of the problem of insufficient resilience in community public health crisis governance, based on the complex adaptive system theory, which emphasizes interaction among subjects and between subjects and the environment to improve the adaptability to the environment. Questionnaires and in-depth interviews were conducted in 28 counties (districts) of 14 cities of 7 provinces in China; 2345 questionnaires and 71 interview data were collected, and we conducted descriptive statistical analysis on questionnaire data. It is found that some communities faced insufficient resilience problems such as “simply isolating households and communities”, “blindly setting limits”, “layer-by-layer law”, and “rejecting and repelling all individuals from or even related to Hubei”. These problems are due to the fact that the community have a non-interactive relationship, which is a one-dimensional linear governance model to some extent. The legal content of the building of a “comprehensive disaster-reduction demonstration community” implemented by the Chinese government is compelled to stay at the level of system design to some extent, with its existence playing an ornamental role but lacking a substantial one. In this regard, this study suggests that a resilient governance model of community pluralistic cooperation be established based on the theoretical framework of complex adaptive system. This model is designed to increase the resilience of community public health crisis governance. The authoritative role of central and local policies is expected to be truly developed and played in dealing with the grassroots community public health crisis. MDPI 2021-02-22 2021-02 /pmc/articles/PMC7926474/ /pubmed/33671618 http://dx.doi.org/10.3390/ijerph18042123 Text en © 2021 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Chao
Dong, Xuan
Zhang, Yan
Luo, Yiwen
Community Resilience Governance on Public Health Crisis in China
title Community Resilience Governance on Public Health Crisis in China
title_full Community Resilience Governance on Public Health Crisis in China
title_fullStr Community Resilience Governance on Public Health Crisis in China
title_full_unstemmed Community Resilience Governance on Public Health Crisis in China
title_short Community Resilience Governance on Public Health Crisis in China
title_sort community resilience governance on public health crisis in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926474/
https://www.ncbi.nlm.nih.gov/pubmed/33671618
http://dx.doi.org/10.3390/ijerph18042123
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