Evidence map›Paper›PMID 39809527›Full record

ArticleBMJ global health2025

Wildlife policy, the food system and One Health: a complex systems analysis of unintended consequences for the prevention of emerging zoonoses in China, the Democratic Republic of the Congo and the Philippines.

Chloe Clifford Astbury, Anastassia Demeshko, Russel Aguilar, Mala Ali Mapatano, Angran Li, Kathleen Chelsea Togño, Zhilei Shi, Zhuoyu Wang, Cary Wu, Marc K Yambayamba and 9 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Understanding Food Insecurity in Westminster, UK: A Community-Informed Systems Thinking Approach.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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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

19 authors.

Chloe Clifford AstburyGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-2955-7833
Anastassia DemeshkoGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.
Russel AguilarDepartment of Epidemiology and Biostatistics, College of Public Health, University of the Philippines Manila, Manila, Philippines.
Mala Ali MapatanoSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Angran LiCenter for Applied Social and Economic Research, New York University Shanghai, Shanghai, China.
Kathleen Chelsea TogñoDepartment of Epidemiology and Biostatistics, College of Public Health, University of the Philippines Manila, Manila, Philippines.
Zhilei ShiZhongnan University of Economics and Law, Wuhan, China.
Zhuoyu WangDepartment of Sociology, Zhejiang University, Hangzhou, China.
Cary WuDepartment of Sociology, York University, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-2652-5684
Marc K YambayambaSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Hélène CarabinFaculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Janielle ClarkeGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.
Valentina De LeonGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.
Shital DesaiSocial and Technological Systems Lab, School of the Arts, Media, Performance & Design, York University, Toronto, Ontario, Canada.
Eduardo Gallo-CajiaoDepartment of Human Dimensions of Natural Resources, Warner College of Natural Resources, Colorado State University, Fort Collins, Colorado, USA.
Kirsten Melissa LeeGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.
Krishihan SivapragasamGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada.
Mary WiktorowiczDahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada.
Tarra L PenneyGlobal Food System & Policy Research, York University, Toronto, Ontario, Canada tpenney@yorku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvolving human-wildlife interactions have contributed to emerging zoonoses outbreaks, and pandemic prevention policy for wildlife management and conservation requires enhanced consideration from this perspective. However, the risk of unintended consequences is high. In this study, we aimed to assess how unrecognised complexity and system adaptation can lead to policy failure, and how these dynamics may impact zoonotic spillover risk and food system outcomes. METHODOLOGY: This study focused on three countries: China, the Democratic Republic of the Congo (DRC) and the Philippines. We combined evidence from a rapid literature review with key informant interviews to develop causal loop diagrams (CLDs), a form of systems map representing causal theory about system factors and interconnections. We analysed these CLDs using the 'fixes that fail' (FTF) systems archetype, a conceptual tool used to understand and communicate how system adaptation can lead to policy failure. In each country, we situated the FTF in the wider system of disease ecology and food system factors to highlight how zoonotic risk and food system outcomes may be impacted.

resultsWe interviewed 104 participants and reviewed 303 documents. In each country, we identified a case of a policy with the potential to become an FTF: wildlife farming in China, the establishment of a new national park in the DRC, and international conservation agenda-setting in the Philippines. In each country, we highlighted context-specific impacts of the FTF on zoonotic spillover risk and key food system outcomes.

conclusionOur use of systems thinking highlights how system adaptation may undermine prevention policy aims, with a range of unintended consequences for food systems and human, animal and environmental health. A broader application of systems-informed policy design and evaluation could help identify instruments approporiate for the disruption of system traps and improve policy success. A One Health approach may also increase success by supporting collaboration, communication and trust among actors to imporove collective policy action.

Indexed as

Animals, WildCommunicable Diseases, EmergingConservation of Natural ResourcesFood SupplyOne HealthZoonosesAnimalsChinaDemocratic Republic of the CongoHumansPhilippinesSystems AnalysisGlobal HealthHealth policyPrevention strategiesPublic Health

Identifiers

PMID39809527
PMCPMC11749200

What OpenQuestion holds

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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.