Evidence map›Paper›PMID 41626361›Full record

ArticleFrontiers in public health2025

Building trust before the next crisis: lessons from the avian influenza front lines.

Eri Togami, Elizabeth Ashby Guo, Julie Liao, Stephen Ostroff, Jonathan M Sleeman, Elizabeth L Mumford

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

6 authors.

Eri TogamiJohns Hopkins Bloomberg School of Public Health, Baltimore, MA, United States.
Elizabeth Ashby GuoNational Academies of Sciences, Engineering, and Medicine, Washington, DC, United States.
Julie LiaoNational Academies of Sciences, Engineering, and Medicine, Washington, DC, United States.
Stephen OstroffDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
Jonathan M SleemanFood and Agriculture Organization of the United Nations, Bangkok, Thailand.
Elizabeth L MumfordSchool of Veterinary Medicine, Department of Comparative Biomedical Sciences, University of Surrey, Guildford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States H5N1 outbreak which began in 2022 had widespread human health, animal health, and economic impacts. This outbreak led to the death or depopulation of over 175 million domestic birds and marked the first time that a highly pathogenic avian influenza (HPAI) virus was detected in cattle. Response to this emergency required coordination among various stakeholders in public health and agriculture sectors at federal, state, and local levels. Despite national and local efforts, a lack of trust between stakeholders diminished the efficiency of the response. The National Academies of Sciences, Engineering, and Medicine hosted a webinar featuring four experts in different agriculture sectors to gain their perspectives from the field on building trust during the H5N1 response. Their discussion highlighted the importance of proactive trust-building, communication and transparency, and incentives as catalysts to building trust in advance of a public health crisis. These insights are key for improving responses to future HPAI outbreaks and other health emergencies.

Indexed as

Disease OutbreaksInfluenza A Virus, H5N1 SubtypeInfluenza, HumanInfluenza in BirdsTrustAnimalsBirdsCattleHumansPublic HealthUnited Statesavian influenzaH5N1 (avian influenza)incentivesOne Healthoutbreak responserisk communicationtrustzoonoses

Identifiers

PMID41626361
PMCPMC12856933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.