Evidence map›Paper›PMID 38902738›Full record

ArticleGlobalization and health2024

Governance of the wildlife trade and the prevention of emerging zoonoses: a mixed methods network analysis of transnational organisations, silos, and power dynamics.

Chloe Clifford Astbury, Anastassia Demeshko, Eduardo Gallo-Cajiao, Ryan McLeod, Mary Wiktorowicz, Cécile Aenishaenslin, Katherine Cullerton, Kirsten M Lee, Arne Ruckert, A M Viens and 2 more

Abstract read
In one paragraph

Article in Globalization and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. 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

12 authors.

Chloe Clifford AstburyGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Anastassia DemeshkoGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Eduardo Gallo-CajiaoSchool of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA.
Ryan McLeodGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Mary WiktorowiczGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Cécile AenishaenslinFaculté de médecine vétérinaire, Université de Montréal, Montréal, Québec, Canada.
Katherine CullertonSchool of Public Health, University of Queensland, Brisbane, QLD, Australia.
Kirsten M LeeGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Arne RuckertSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
A M ViensGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada.
Peter TsasisSchool of Health Policy and Management, York University, Toronto, ON, Canada.
Tarra L PenneyGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, ON, Canada. tpenney@yorku.ca.

Funding

CIHR Health System Impact FellowshipCIHR VR5-172686Society for Conservation Biology David H Smith Conservation Research Fellowship
6 · The paper itself

Abstract

introductionThe wildlife trade is an important arena for intervention in the prevention of emerging zoonoses, and leading organisations have advocated for more collaborative, multi-sectoral approaches to governance in this area. The aim of this study is to characterise the structure and function of the network of transnational organisations that interact around the governance of wildlife trade for the prevention of emerging zoonoses, and to assess these network characteristics in terms of how they might support or undermine progress on these issues.

methodsThis study used a mixed methods social network analysis of transnational organisations. Data were collected between May 2021 and September 2022. Participants were representatives of transnational organisations involved in the governance of wildlife trade and the prevention of emerging zoonoses. An initial seed sample of participants was purposively recruited through professional networks, and snowball sampling was used to identify additional participants. Quantitative data were collected through an online network survey. Measures of centrality (degree, closeness, and betweenness) were calculated and the network's largest clique was identified and characterised. To understand the extent to which organisations were connected across sectors, homophily by sector was assessed using exponential random graph modelling. Qualitative data were collected through semi-structured interviews. The findings from the quantitative analysis informed the focus of the qualitative analysis. Qualitative data were explored using thematic analysis.

resultsThirty-seven participants completed the network survey and 17 key informants participated in semi-structured interviews. A total of 69 organisations were identified as belonging to this network. Organisations spanned the animal, human, and environmental health sectors, among others including trade, food and agriculture, and crime. Organisation types included inter-governmental organisations, non-governmental organisations, treaty secretariats, research institutions, and network organisations. Participants emphasised the highly inter-sectoral nature of this topic and the importance of inter-sectoral work, and connections were present across existing sectors. However, there were many barriers to effective interaction, particularly conflicting goals and agendas. Power dynamics also shaped relationships between actors, with the human health sector seen as better resourced and more influential, despite having historically lower engagement than the environmental and animal health sectors around the wildlife trade and its role in emerging zoonoses.

conclusionThe network of transnational organisations focused on the governance of wildlife trade and the prevention of emerging zoonoses is highly multi-sectoral, but despite progress catalysed by the COVID-19 pandemic, barriers still exist for inter-sectoral interaction and coordination. A One Health approach to governance at this level, which has gained traction throughout the COVID-19 pandemic, was shared as a promising mechanism to support a balancing of roles and agendas in this space. However, this must involve agreement around equity, priorities, and clear goal setting to support effective action.

Indexed as

Animals, WildCommerceZoonosesAnimalsCommunicable Diseases, EmergingHumansInternational CooperationSocial Network AnalysisWildlife TradeEmerging zoonosesGlobal governanceOne HealthSocial network analysisTransnational organisationsWildlife trade

Identifiers

PMID38902738
PMCPMC11188226

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.