Evidence map›Paper›PMID 41415227›Full record

ArticleFrontiers in public health2025

Rumor management in public health: a system dynamics analysis based on social trust.

Wei Dong, Yijie Wang, Fei Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

3 authors.

Wei DongDepartment of Sociology, Hohai University, Nanjing, China.
Yijie WangDepartment of Sociology, Hohai University, Nanjing, China.
Fei LiSchool of Humanities, Anhui Polytechnic University, Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the rapid development of digital society and the Internet, public health systems are increasingly confronted with novel phenomena and emergent challenges originating from cyberspace. Single medical interventions often prove insufficient to address the complex and multifaceted nature of contemporary health issues, necessitating the integration of interdisciplinary expertise. Methods: This study focuses on the propagation mechanisms of online rumors during the early stages of the COVID-19 pandemic, highlighting their intricate interactions with social trust. Using a system dynamics approach, a comprehensive "generation-diffusion-dissipation" model of rumors was constructed, revealing the differentiated role of social trust across stages. Results: Trust deficits create fertile ground for rumor emergence, while the impersonation and exploitation of trust facilitate rapid rumor diffusion beyond the bounds of rational skepticism. Conversely, trust reconstruction serves as a critical driver for rumor dissipation and the restoration of social cognition. The spread of rumors is influenced not only by information veracity but also by the embedding of social relationships, emotional mobilization, and manipulation of trust pathways. Conclusion: Effective rumor governance in public health systems requires a shift from reactive "

Indexed as

CommunicationCOVID-19Information DisseminationPublic HealthSocial MediaTrustHumansPandemicsSARS-CoV-2Systems AnalysisCOVID-19health-related rumorspublic healthsocial trustsystem dynamics

Identifiers

PMID41415227
PMCPMC12708904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.