Evidence map›Paper›PMID 34119013›Full record

ReviewThe Lancet. Planetary health2021

A better classification of wet markets is key to safeguarding human health and biodiversity.

Bing Lin, Madeleine L Dietrich, Rebecca A Senior, David S Wilcove

Open access · goldAbstract readReview
In one paragraph

Review in The Lancet. Planetary health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
9.6field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 65 citations in OpenAlex.

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  17. Prevalence and characterization of antimicrobial-resistantFrontiers in veterinary science · 2024
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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

4 authors at 2 institutions in 1 country.

Bing LinPrinceton School of Public and International Affairs, Princeton University, Princeton, NJ, USA. Electronic address: blin@princeton.edu.
Madeleine L DietrichDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Rebecca A SeniorPrinceton School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
David S WilcovePrinceton School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
Princeton Public Schools · USPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wet markets have been implicated in multiple zoonotic outbreaks, including COVID-19. They are also a conduit for legal and illegal trade in wildlife, which threatens thousands of species. Yet wet markets supply food to millions of people around the world, and differ drastically in their physical composition, the goods they sell, and the subsequent risks they pose. As such, policy makers need to know how to target their actions to efficiently safeguard human health and biodiversity without depriving people of ready access to food. Here, we propose a taxonomy of wet markets, oriented around the presence of live or dead animals, and whether those animals are domesticated or wild (either captive-reared or wild-caught). We assess the dimensions and levels of risk that different types of wet markets pose to people and to biodiversity. We identify six key risk factors of wet markets that can affect human health: (1) presence of high disease-risk animal taxa, (2) presence of live animals, (3) hygiene conditions, (4) market size, (5) animal density and interspecies mixing, and (6) the length and breadth of animal supply chains. We also identify key factors informing risk to biodiversity. Finally, we recommend targeted, risk-adjusted policies to more efficiently and humanely address the dangers posed by wet markets.

Indexed as

Animals, WildMeatAnimalsAsiaBiodiversityCommerceCOVID-19Health PolicyHumansHygienePublic HealthRisk AssessmentZoonoses

Identifiers

PMID34119013
PMCPMC8578676
OpenAlexW3170203701

What OpenQuestion holds

Textmetadata
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.