Evidence map›Paper›PMID 32385239›Full record

ArticleNature communications2020

Predicting the global mammalian viral sharing network using phylogeography.

Gregory F Albery, Evan A Eskew, Noam Ross, Kevin J Olival

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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2 more citing papers are in PubMed but not listed here.

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.

Gregory F AlberyEcoHealth Alliance, New York, NY, USA. gfalbery@gmail.com.ORCID http://orcid.org/0000-0001-6260-2662
Evan A EskewEcoHealth Alliance, New York, NY, USA.ORCID http://orcid.org/0000-0002-1153-5356
Noam RossEcoHealth Alliance, New York, NY, USA.ORCID http://orcid.org/0000-0002-2136-0000
Kevin J OlivalEcoHealth Alliance, New York, NY, USA. olival@ecohealthalliance.org.ORCID http://orcid.org/0000-0003-3211-1875

Funding

Understanding the Risk of Bat Coronavirus EmergenceR01AI110964 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2014 to 2023
$4.3M
NIAID NIH HHS R01 AI110964
6 · The paper itself

Abstract

Understanding interspecific viral transmission is key to understanding viral ecology and evolution, disease spillover into humans, and the consequences of global change. Prior studies have uncovered macroecological drivers of viral sharing, but analyses have never attempted to predict viral sharing in a pan-mammalian context. Using a conservative modelling framework, we confirm that host phylogenetic similarity and geographic range overlap are strong, nonlinear predictors of viral sharing among species across the entire mammal class. Using these traits, we predict global viral sharing patterns of 4196 mammal species and show that our simulated network successfully predicts viral sharing and reservoir host status using internal validation and an external dataset. We predict high rates of mammalian viral sharing in the tropics, particularly among rodents and bats, and within- and between-order sharing differed geographically and taxonomically. Our results emphasize the importance of ecological and phylogenetic factors in shaping mammalian viral communities, and provide a robust, general model to predict viral host range and guide pathogen surveillance and conservation efforts.

Indexed as

PhylogeographyAnimalsMammalsProbabilityViruses

Identifiers

PMID32385239
PMCPMC7210981

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.