Evidence map›Paper›PMID 40959507›Full record

ArticleCABI one health2025

One Health policy communities' perspectives on zoonoses risk factors and management: A multiple qualitative methods approach.

Lisset M Dumet, Erin Kenzie, Julia Goodman, Veronika Merino Osorio, Vanessa Cruz Chavez, Ruth Atto, Percy Vilchez Barreto, Seth O'Neal

Abstract read
In one paragraph

Article in CABI one health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Lisset M DumetSchool of Public Health, Oregon Health & Science University - Portland State University, Portland, Oregon, United States.ORCID 0000-0002-5515-5478
Erin KenzieSchool of Public Health, Oregon Health & Science University - Portland State University, Portland, Oregon, United States.
Julia GoodmanSchool of Public Health, Oregon Health & Science University - Portland State University, Portland, Oregon, United States.
Veronika Merino OsorioCayetano Heredia Peruvian University, Peru.
Vanessa Cruz ChavezCayetano Heredia Peruvian University, Peru.
Ruth AttoCayetano Heredia Peruvian University, Peru.
Percy Vilchez BarretoCayetano Heredia Peruvian University, Peru.
Seth O'NealCenter for Global Health-Tumbes, Peru.

Funding

NPGH LEADERs YR12: OBSSR (Greenberg, Ngwafong Mukere) & NIBIB (Lee)D43TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI Dibyadyuti Datta, Chandy C. John · 2017 to 2026
$15.2M
Optimizing ring screening strategy for control of Taenia solium infectionR01NS080645 · NINDS · OREGON HEALTH & SCIENCE UNIVERSITY · PI BUSTOS, JAVIER A, O'NEAL, SETH E · 2014 to 2023
$5.3M
FIC NIH HHS D43 TW009345NINDS NIH HHS R01 NS080645
6 · The paper itself

Abstract

Zoonoses emergence and endemicity are serious global public health problems that disproportionately affect low-resource settings. One Health (OH) serves as a framework to understand the interconnection of zoonoses risk factors and incentivizes collaboration, coordination, and communication among sectors. However, OH encounters barriers related to power imbalances, gaps in coordination, and conflicts of interest among diverse communities of practice, which are groups that share a problem and domain of interest and engage in collective learning. This research aims to elucidate the mental models of policy communities, which are representations of the environment, and how humans explain and predict their surroundings to describe their perspectives on zoonoses' risk factors and management. We used a multiple methods approach, including qualitative system dynamics and rapid qualitative methods (RQM), to describe the perspectives of policy communities regarding the drivers of zoonoses emergence and endemicity and the complexity of zoonoses management. Participants included national and sub-national policy makers and key informants integral to zoonoses programs in Peru, including representatives of human, animal, and environmental systems. We completed 77 semi-structured interviews from June 2023 to November 2023, and the final analytical sample included 75 interviews, excluding 2 incomplete interviews. Participants' mental models were represented with synthesized systems dynamics diagrams. Main themes and quotes from the RQM added context to the diagrams and described participants' perspectives regarding zoonoses management complexity. Representatives from animal, human, and environmental public organizations described a similar structural conceptualization of the risk factors related to pets, humans, wildlife, and livestock, identifying economic, social, and environmental risk factors linked to zoonoses emergence and endemicity. Central themes include: global structural economic and social forces; factors affecting biodiversity and natural reservoirs; environmental changes; medical and public health services; country economic factors; rural reliance on farming and limited funding; agricultural factors; and water, hygiene, and sanitation-responsive governance. The system dynamics diagrams illustrated interrelationships between pet, human, wildlife, and livestock populations. However, risk factors related to zoonoses affecting livestock were more prominently represented. Participants recognized the need to apply OH to address zoonoses; however, contextual factors, such as regional adaptation, were necessary in poor rural areas. The study's results inform about value systems that guide political action and decision making among the diverse OH communities of practice. A similar application in high-income settings could identify differences in zoonoses' risk factors that may not be related to rural vulnerability or poverty. Further research is needed to describe the interconnection of organizational factors associated with OH collaborations.

Indexed as

complexitylow-resource settingsmental modelsmultiple qualitative methodone healthpolicy communitiesrapid-qualitative methodrisk factorssystems dynamicszoonoses

Identifiers

PMID40959507
PMCPMC12435533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.