ArticleFrontiers in public health2026
Political cost, value balance, and the optimization of university public health emergency governance: an evolutionary game and small signal analysis.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In major public-health emergencies, universities constitute core nodes within a multi-actor intersecting governance network composed of governments, universities, students, media and social-sector organizations. While uniform closed-campus management can maximize the protection of students' physical health, it frequently overlooks students' mental-health needs and value-recognition concerns, which may exacerbate tensions between universities and students. Taking political costs associated with university pandemic governance as the research subject, this study integrates systems theory and cost-benefit theory to construct a tripartite evolutionary-game model covering universities, social-media platforms and students. Evolutionarily stable strategies are derived by solving replicator-dynamic equations. A small-signal model is further introduced to analyze the stability, root-locus characteristics and participation factors of all eight equilibrium points. Python-based numerical simulation is also adopted to reveal the feedback effect of political costs on system stability. This paper presents a case analysis of responses and proactive adjustment outcomes of two universities during the 2022 Omicron wave. The findings are as follows: (1) University governance behavior serves as the dominant participation factor driving instability across different equilibrium states, whereas student (public) participation acts as the core stabilizing factor and the primary driver of political-cost consumption; (2) Under the optimal equilibrium, a moderate political-cost signal can both warn universities against exploiting information asymmetry and empower them to respond decisively to public-health crises, fostering a win-win tripartite synergy among universities, media and students; (3) When political costs are severely depleted, students will set aside economic considerations and prioritize health-related concerns by adopting negative behavioral responses, which destabilizes the governance system. On this basis, this paper puts forward a three-dimensional "system-process-value" framework. It optimizes the supply pathway of university pandemic-prevention policies through structural reorganization, process re-engineering and value allocation. This framework is not limited to COVID-19-related prevention and control. It also offers transferable guidance for educational institutions to implement routine emergency management when confronted with emerging infectious diseases and future public-health emergencies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.