Evidence map›Paper›PMID 41991557›Full record

ArticleScientific reports2026

Evolutionary game model for public health emergency management in universities.

Jing Wei, Jiawei Zhou, Li Zheng, Dong Minyi, Yitong Xiao, Ma Boyuan, Qiang He, Lili Zhang, Lin Song

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jing WeiSchool Infermary, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China.
Jiawei ZhouShandong Institute of Standardization, Jinan, 250014, China.
Li ZhengSchool of Mathematics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
Dong MinyiQilu Institute of Technology, School of Computer and Information Engineering, Jinan, 250200, China.
Yitong XiaoShandong University of Traditional Chinese Medicine , College of Traditional Chinese Medicine, Jinan, 250355, China.
Ma BoyuanParis Curie BUCT Engineer School, Beijing University of Chemical Technology, Beijing, China.
Qiang HeTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China. heqiang@tjutcm.edu.cn.
Lili ZhangTongfang Knowledge Network Digital Technology Co., Ltd., Beijing, 100083, China. zll3898@cnki.net.
Lin SongTongfang Knowledge Network Digital Technology Co., Ltd., Beijing, 100083, China. sl15430@cnki.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health crises, such as the COVID-19 pandemic, demand effective emergency management within universities, involving collaboration among university departments, students, and Public opinion channel. This study aims to construct and simulate a tripartite evolutionary game model capturing the dynamic strategic interactions of these stakeholders during crises. Utilizing an evolutionary game theory model, the study examines their decision-making behaviors under bounded rationality and incomplete information. Vensim software simulations reveal key findings: (1) moderate government penalties effectively encourage timely information disclosure by university departments; (2) reducing the costs of student complaints influences media verification behaviors; and (3) addressing students' optimistic biases significantly impacts strategic decision-making across all parties. These insights provide actionable recommendations for universities, including fostering collaborative governance, improving emergency response mechanisms, and enhancing stakeholder communication. This research contributes to the theoretical understanding of stakeholder dynamics and offers practical strategies to enhance the emergency management efficiency of higher education institutions during public health crises.

Indexed as

COVID-19Game TheoryPublic HealthDecision MakingHumansPandemicsSARS-CoV-2StudentsUniversities

Identifiers

PMID41991557
PMCPMC13086918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.