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Influencing factors and optimization strategies of multi-subject synergistic effect of urban communities in response to public health emergencies based on fuzzy DANP
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Yue WANG, Xiaohan SUN, Yunxia ZHONG, Jun LI
Chinese Journal of Public Health | 2026, 42(4) : 404 - 411
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Chinese Journal of Public Health | 2026, 42(4): 404-411
• Special Report—Development of Public Health Evaluation Indicator Frameworks •
Influencing factors and optimization strategies of multi-subject synergistic effect of urban communities in response to public health emergencies based on fuzzy DANP
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Yue WANG, Xiaohan SUN, Yunxia ZHONG, Jun LI
Affiliations
  • School of Public Health, Capital Medical University, Beijing 100069, China
Published: 2026-04-10 doi: 10.11847/zgggws1146412
Outline
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Objective

To clarify the key factors influencing the multi-subject synergistic effect of urban communities in response to public health emergencies and their interrelationships, thus enhancing the quality and efficiency of multi-subject collaboration in response to public health risks and providing references for the scientific and efficient work of urban communities under such conditions.

Methods

With the modified SFIC model as the theoretical framework, a system of influencing factors was established through literature research, semi-structured interviews, and the Delphi method. Fuzzy DANP was employed to clarify the influencing relationships among the factors and quantify their weights. The key influencing factors were identified with consideration to the centrality, causality, and weight ranking of the factors.

Results

A system of factors influencing the multi-subject synergistic effect of urban communities in response to public health emergencies was established, consisting of 5 primary factors, 15 secondary factors, and 47 tertiary factors. Among the primary factors, synergy engine, synergy supervision, and synergy environment were of higher importance. The key secondary factors included leadership, organizational structure, and ideological consensus. The main tertiary factors were the support strength of policies, laws, and regulations, operability of systems, accuracy of information, timeliness of resource acquisition, timeliness of information sharing, capability of personnel teams, and risk identification capabilities.

Conclusions

To enhance the capacity of urban communities in response to public health risks in a coordinated manner and promote the long-term development of synergistic effects, efforts should be made to strengthen the spport of synergistic policies, give full play to the leading role of leadership, foster a solid foundation of ideological consensus, and optimize the support of data and intelligence.

response to public health emergency  /  urban community  /  synergistic effect  /  fuzzy DANP  /  influencing factor
王悦, 孙笑菡, 钟韫霞, 李军. 城市社区卫生应急多主体协同效应影响因素及优化策略:基于Fuzzy-DANP法. 中国公共卫生, 2026 , 42 (4) : 404 -411 . DOI: 10.11847/zgggws1146412
Yue WANG, Xiaohan SUN, Yunxia ZHONG, Jun LI. Influencing factors and optimization strategies of multi-subject synergistic effect of urban communities in response to public health emergencies based on fuzzy DANP[J]. Chinese Journal of Public Health, 2026 , 42 (4) : 404 -411 . DOI: 10.11847/zgggws1146412
Year 2026 volume 42 Issue 4
111
50
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Article Info
doi: 10.11847/zgggws1146412
  • Receive Date:2024-11-03
  • Online Date:2026-10-23
  • Published:2026-04-10
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History
  • Received:2024-11-03
  • Revised:2025-09-02
  • Accepted:2025-10-30
Affiliations
    School of Public Health, Capital Medical University, Beijing 100069, China

Corresponding:

LI Jun, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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