ArticleHealthcare (Basel, Switzerland)2023
Resource Support for "Mobilization-Participation" in Public Health Emergencies Based on a Complex Network Evolutionary Game.
Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Collaborative Governance Strategies for Fever Clinics: A Multi-Scenario Evolutionary Game Analysis.Risk management and healthcare policy · 2025Article
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Authors and funding
3 authors.
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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.
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Registered trials
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