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基于复杂网络演化博弈的突发公共卫生事件“动员-参与”资源支持

Resource Support for "Mobilization-Participation" in Public Health Emergencies Based on a Complex Network Evolutionary Game.

作者信息

Lian Chenxi, Liu Jida, Wang Jian

机构信息

School of Management, Harbin Institute of Technology, Harbin 150001, China.

出版信息

Healthcare (Basel). 2023 May 22;11(10):1506. doi: 10.3390/healthcare11101506.

DOI:10.3390/healthcare11101506
PMID:37239792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10218131/
Abstract

The organized system of emergency resources with the participation of social subjects features a network, which puts forward new requirements for mobilization policies for public health emergencies. Considering the "mobilization-participation" action of the relationship between the government and social resource subjects and revealing the mechanism of governance measures represent the foundation of developing effective mobilization strategies. To analyze the behavior of subjects in an emergency resource network, this study proposes a framework for the emergency actions of government and social resource subjects, as well as clarifies the functions of relational mechanisms and interorganizational learning in decision making. The game model and its rules of evolution in the network were developed by considering the interventions of rewards and penalties. An emergency resource network was constructed on the basis of a response to the COVID-19 epidemic in a city in China, and a simulation of the "mobilization-participation" game was designed and conducted. We propose a path to promote emergency resource actions by analyzing the initial situations and the interventions' effects. This article suggests that guiding and improving the initial selection of subjects under a certain reward system would be an effective path to facilitate resource support actions during public health emergencies.

摘要

由社会主体参与的应急资源组织系统具有网络化特征,这对突发公共卫生事件的动员政策提出了新要求。考量政府与社会资源主体关系中的“动员—参与”行为,并揭示治理措施的机制是制定有效动员策略的基础。为分析应急资源网络中主体的行为,本研究提出了政府和社会资源主体应急行动的框架,并阐明了关系机制和组织间学习在决策中的作用。通过考虑奖惩干预,建立了网络中的博弈模型及其演化规则。基于中国某城市应对新冠肺炎疫情构建了应急资源网络,并设计和开展了“动员—参与”博弈模拟。通过分析初始情况和干预效果,我们提出了促进应急资源行动的路径。本文表明,在一定奖励制度下引导和改善主体的初始选择将是在突发公共卫生事件期间促进资源支持行动的有效途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f970/10218131/ce0189e4c7ed/healthcare-11-01506-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f970/10218131/ce0189e4c7ed/healthcare-11-01506-g008.jpg
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