Evidence map›Paper›PMID 41913568›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Municipal Risk Communication and Public Trust: Reducing Counterproductive Behaviors Across Emergency Scenarios.

Moran Bodas, Omar Watad, Stav Shapira

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 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

3 authors.

Moran BodasDepartment of Emergency and Disaster Management, School of Public Health, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel.
Omar WatadDepartment of Emergency and Disaster Management, School of Public Health, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel.
Stav ShapiraSchool of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.ORCID 0000-0001-6258-4935

Funding

Bloomberg-Sagol Center for City LeadershipBloomberg-Sagol Center for City Leadership, Tel-Aviv University
6 · The paper itself

Abstract

Municipal authorities play a critical role in risk communication, yet little is known about how their messages influence public safety behavior. This study examined how municipal informational messages shaped behavioral intentions across five emergency scenarios (wildfires, flooding, hazardous materials, extreme weather, and civil unrest) in a representative sample of 1509 adults. Using a cross-sectional experiment, we compared participants exposed to rumors alone versus rumors with municipal guidance. Results show that municipal messaging significantly reduced counterproductive behaviors such as rumor-spreading and convergence on hazard sites, though it had limited effects on preparedness and proactive information seeking. Trust in national authorities remained stronger than in local governments, and demographic factors such as gender, age, and political orientation moderated behavioral responses. These findings extend established models of risk communication by highlighting the contextual role of municipal authorities and suggest that local communication strategies are best framed as harm-reduction tools. The study underscores the need for scenario-specific message design, proactive trust-building, and future field-based research to capture real-world behaviors.

Indexed as

CommunicationEmergenciesTrustAdultCross-Sectional StudiesFemaleHumansMaleRiskBehaviormunicipal authoritiespublic trustrisk communicationrumor control

Identifiers

PMID41913568
PMCPMC13036389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.