Evidence map›Paper›PMID 34195344›Full record

ArticleOne health (Amsterdam, Netherlands)2021

A tool for rapid assessment of wildlife markets in the Asia-Pacific Region for risk of future zoonotic disease outbreaks.

Eric Wikramanayake, Dirk U Pfeiffer, Ioannis Magouras, Anne Conan, Stefan Ziegler, Timothy C Bonebrake, David Olson

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Mapping hazards to the global food system.Environmental monitoring and assessment · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Evaluating wildlife markets for pandemic disease risk.The Lancet. Planetary health · 2021
    Article
  11. Review
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

7 authors.

Eric WikramanayakeWWF Asia-Pacific Counter-Illegal Wildlife Trade Hub (IWT Hub), WWF-Hong Kong, Kwai Chung, New Territories, Hong Kong SAR, PR China.
Dirk U PfeifferCentre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon, Hong Kong SAR, PR China.
Ioannis MagourasCentre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon, Hong Kong SAR, PR China.
Anne ConanCentre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon, Hong Kong SAR, PR China.
Stefan ZieglerWWF-Germany, Taunusanlage 8, 60329 Frankfurt/Main, Germany.
Timothy C BonebrakeDivision for Ecology & Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, PR China.
David OlsonWWF Asia-Pacific Counter-Illegal Wildlife Trade Hub (IWT Hub), WWF-Hong Kong, Kwai Chung, New Territories, Hong Kong SAR, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of warnings that the trade and consumption of wildlife could result in serious zoonotic pandemics have gone largely unheeded. Now the world is ravaged by COVID-19, with tremendous loss of life, economic and societal disruption, and dire predictions of more destructive and frequent pandemics. There are now calls to tightly regulate and even enact complete wildlife trade bans, while others call for more nuanced approaches since many rural communities rely on wildlife for sustenance. Given pressures from political and societal drivers and resource limitations to enforcing bans, increased regulation is a more likely outcome rather than broad bans. But imposition of tight regulations will require monitoring and assessing trade situations for zoonotic risks. We present a tool for relevant stakeholders, including government authorities in the public health and wildlife sectors, to assess wildlife trade situations for risks of potentially serious zoonoses in order to inform policies to tightly regulate and control the trade, much of which is illegal in most countries. The tool is based on available knowledge of different wildlife taxa traded in the Asia-Pacific Region and known to carry highly virulent and transmissible viruses combined with relative risks associated with different broad categories of market types and trade chains.

Indexed as

Asia-PacificEcologyOneHealthPandemicWildlife tradeZoonoses

Identifiers

PMID34195344
PMCPMC8220562

What OpenQuestion holds

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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.