Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China
IntroductionIn the wake of the COVID-19 outbreak, urban communities have emerged as the frontline defenders in epidemic prevention and control, providing the most effective means of curbing the spread of virus both inward and outward. This study attempts to explain the underlying factors and mechani...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1296269/full |
| _version_ | 1797365538970664960 |
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| author | Ruyi Shi Ruyi Shi Bo Lu Yiwen Zhong |
| author_facet | Ruyi Shi Ruyi Shi Bo Lu Yiwen Zhong |
| author_sort | Ruyi Shi |
| collection | DOAJ |
| description | IntroductionIn the wake of the COVID-19 outbreak, urban communities have emerged as the frontline defenders in epidemic prevention and control, providing the most effective means of curbing the spread of virus both inward and outward. This study attempts to explain the underlying factors and mechanisms that shape the community epidemic prevention and control capacity (CEPCC).MethodsWe adopted a resilience-based perspective and drew on a sample of 20 exemplary anti-epidemic communities in China. By constructing an analytical framework and employing the fuzzy set qualitative comparative analysis method (fsQCA), we explored how four conditional variables—infrastructure completeness, community self-organizing ability, redundancy of community resources, and stability of regional economic development—and their various configurations impact the CEPCC.ResultsOur findings reveal that the four conditional variables, when considered in isolation, cannot effectively enhance the CEPCC. Instead, four configuration pathways with mixed conditional variables exist. Notably, community self-organizing ability emerges as a vital condition for effectively strengthening the CEPCC.DiscussionThis study identifies four pathways to improve the CEPCC and confirms the validity of the data results through case studies. Conclusions of this research contribute to a more nuanced understanding of the factors influencing the CEPCC, which can help communities to better plan and prepare for future epidemics and ensure better response and adaptation to the impacts of future emergencies. |
| first_indexed | 2024-03-08T16:51:25Z |
| format | Article |
| id | doaj.art-ce1b1adf0e6946b0a8b5307b32c7d46b |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-08T16:51:25Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-ce1b1adf0e6946b0a8b5307b32c7d46b2024-01-05T04:41:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-01-011110.3389/fpubh.2023.12962691296269Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in ChinaRuyi Shi0Ruyi Shi1Bo Lu2Yiwen Zhong3School of Public Policy and Management, China University of Mining and Technology, Xuzhou, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Public Policy and Management, China University of Mining and Technology, Xuzhou, ChinaChina North Industries Corporation, Beijing, ChinaIntroductionIn the wake of the COVID-19 outbreak, urban communities have emerged as the frontline defenders in epidemic prevention and control, providing the most effective means of curbing the spread of virus both inward and outward. This study attempts to explain the underlying factors and mechanisms that shape the community epidemic prevention and control capacity (CEPCC).MethodsWe adopted a resilience-based perspective and drew on a sample of 20 exemplary anti-epidemic communities in China. By constructing an analytical framework and employing the fuzzy set qualitative comparative analysis method (fsQCA), we explored how four conditional variables—infrastructure completeness, community self-organizing ability, redundancy of community resources, and stability of regional economic development—and their various configurations impact the CEPCC.ResultsOur findings reveal that the four conditional variables, when considered in isolation, cannot effectively enhance the CEPCC. Instead, four configuration pathways with mixed conditional variables exist. Notably, community self-organizing ability emerges as a vital condition for effectively strengthening the CEPCC.DiscussionThis study identifies four pathways to improve the CEPCC and confirms the validity of the data results through case studies. Conclusions of this research contribute to a more nuanced understanding of the factors influencing the CEPCC, which can help communities to better plan and prepare for future epidemics and ensure better response and adaptation to the impacts of future emergencies.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1296269/fullcommunity resilienceCOVID-19 epidemiccommunity epidemic prevention and control capacityqualitative comparative analysisChina |
| spellingShingle | Ruyi Shi Ruyi Shi Bo Lu Yiwen Zhong Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China Frontiers in Public Health community resilience COVID-19 epidemic community epidemic prevention and control capacity qualitative comparative analysis China |
| title | Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China |
| title_full | Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China |
| title_fullStr | Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China |
| title_full_unstemmed | Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China |
| title_short | Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China |
| title_sort | driving factors of urban community epidemic prevention and control capability qca analysis based on typical cases of 20 anti epidemic communities in china |
| topic | community resilience COVID-19 epidemic community epidemic prevention and control capacity qualitative comparative analysis China |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1296269/full |
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