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Research on critical path of emergency response to public health emergencies based on Bayesian networks
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Zebin ZHAO, Rui CHENG
China Safety Science Journal | 2025, 35(8) : 236 - 243
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China Safety Science Journal | 2025, 35(8): 236-243
Emergency technology and management
Research on critical path of emergency response to public health emergencies based on Bayesian networks
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Zebin ZHAO, Rui CHENG
Affiliations
  • School of Management, Harbin Institute of Technology, Harbin Heilongjiang 150001, China
Published: 2025-08-28 doi: 10.16265/j.cnki.issn1003-3033.2025.08.1142
Outline
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To enhance the emergency response capacity of public hospitals in dealing with public health emergencies, the Bayesian network approach was adopted in this study. From the perspective of public hospitals, scenario elements, tasks, and capabilities of public health emergencies were extracted and an emergency response network was constructed. The network was centred around the emergency leading group as the core node, the emergency expert group, medical departments and other core departments as well as pharmacy and other supporting departments were collaborated internally. And it linked with local disease control, public security, communities and other administrative agencies externally, thus forming an emergency response structure with internal and external collaboration. Through diagnostic analysis, the priority of response objectives was clarified. The results show that "preventing nosocomial infection incidents" is the primary objective (accounting for 40%). Three key paths are identified: establishing the emergency leading group-establishing the emergency expert group, establishing the emergency leading group - strictly implementing various prevention and control systems, and establishing the emergency leading group - virus testing.

Bayesian network  /  public health emergency  /  emergency response  /  critical path  /  scenario deduction  /  public hospitals
Zebin ZHAO, Rui CHENG. Research on critical path of emergency response to public health emergencies based on Bayesian networks[J]. China Safety Science Journal, 2025 , 35 (8) : 236 -243 . DOI: 10.16265/j.cnki.issn1003-3033.2025.08.1142
Year 2025 volume 35 Issue 8
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.08.1142
  • Receive Date:2025-04-16
  • Online Date:2026-07-09
  • Published:2025-08-28
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  • Received:2025-04-16
  • Revised:2025-06-14
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    School of Management, Harbin Institute of Technology, Harbin Heilongjiang 150001, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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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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