Evidence map›Paper›PMID 28636590›Full record

ArticleNature2017

Host and viral traits predict zoonotic spillover from mammals.

Kevin J Olival, Parviez R Hosseini, Carlos Zambrana-Torrelio, Noam Ross, Tiffany L Bogich, Peter Daszak

Erratum issuedAbstract read
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 591 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
591citing papers in PubMed, 5 pooled it
–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

591 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. One health (Amsterdam, Netherlands) · 2026
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  18. Changing landscapes, shifting reservoirs: land-use change andApplied and environmental microbiology · 2026
    Article
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  20. Article

531 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kevin J OlivalEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.
Parviez R HosseiniEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.
Carlos Zambrana-TorrelioEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.
Noam RossEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.
Tiffany L BogichEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.
Peter DaszakEcoHealth Alliance, 460 West 34th Street, New York, New York 10001, USA.

Funding

Understanding the Risk of Bat Coronavirus EmergenceR01AI110964 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2014 to 2023
$4.3M
Risk of Viral Emergence from BatsR01AI079231 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2008 to 2012
$2.6M
NIAID NIH HHS R01 AI079231NIAID NIH HHS R01 AI110964
6 · The paper itself

Abstract

The majority of human emerging infectious diseases are zoonotic, with viruses that originate in wild mammals of particular concern (for example, HIV, Ebola and SARS). Understanding patterns of viral diversity in wildlife and determinants of successful cross-species transmission, or spillover, are therefore key goals for pandemic surveillance programs. However, few analytical tools exist to identify which host species are likely to harbour the next human virus, or which viruses can cross species boundaries. Here we conduct a comprehensive analysis of mammalian host-virus relationships and show that both the total number of viruses that infect a given species and the proportion likely to be zoonotic are predictable. After controlling for research effort, the proportion of zoonotic viruses per species is predicted by phylogenetic relatedness to humans, host taxonomy and human population within a species range-which may reflect human-wildlife contact. We demonstrate that bats harbour a significantly higher proportion of zoonotic viruses than all other mammalian orders. We also identify the taxa and geographic regions with the largest estimated number of 'missing viruses' and 'missing zoonoses' and therefore of highest value for future surveillance. We then show that phylogenetic host breadth and other viral traits are significant predictors of zoonotic potential, providing a novel framework to assess if a newly discovered mammalian virus could infect people.

Indexed as

Host SpecificityAnimalsBiodiversityHost-Pathogen InteractionsHumansMammalsVirusesZoonoses

Identifiers

PMID28636590
PMCPMC5570460

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.