ArticleRisk management and healthcare policy2025
Collaborative Governance Strategies for Fever Clinics: A Multi-Scenario Evolutionary Game Analysis.
Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: China's fever clinics succeeded during the Coronavirus Disease 2019 pandemic but revealed operational deficiencies. This study explores multiparty coordination mechanisms in fever clinics to improve collaborative management and efficiency in epidemic control. Patients and Methods: A tripartite evolutionary game model was constructed, involving "primary healthcare institutions-non-primary healthcare institutions-government" to analyze the evolutionary stable strategies among these entities in different scenarios. We implemented a simulation of evolutionary processes and conducted sensitivity analyses of government subsidies, punishments, and public supervision. Results: Four evolutionarily stable strategies were identified: B Conclusion: Government subsidies and punishments under a certain threshold effectively promoted the participation of primary and non-primary healthcare institutions in pandemic prevention and control. Additionally, participation in public supervision gradually increased with the gradual evolution of the pandemic. Therefore, our results suggested that the government should actively explore reasonable, dynamic thresholds for subsidies and punishments, promote public participation through diversified means, and explore diverse operation types of fever clinics to address the challenges of emerging infectious diseases in the future.
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