Evidence map›Paper›PMID 33253277›Full record

ArticlePLoS pathogens2020

Global discovery of human-infective RNA viruses: A modelling analysis.

Feifei Zhang, Margo Chase-Topping, Chuan-Guo Guo, Bram A D van Bunnik, Liam Brierley, Mark E J Woolhouse

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Systems Virology at Scale.Current opinion in systems biology · 2025
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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

6 authors at 5 institutions in 2 countries.

Feifei ZhangUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3718-243X
Margo Chase-ToppingCentre for Immunity, Infection and Evolution, School of Biological Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0003-4668-333X
Chuan-Guo GuoDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0657-473X
Bram A D van BunnikUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-2177-7073
Liam BrierleyDepartment of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-3026-4723
Mark E J WoolhouseUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-3765-8167
Centre for Immunity, Infection and Evolution · GBRoslin Institute · GBUniversity of Edinburgh · GBUniversity of Hong Kong · HKUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA viruses are a leading cause of human infectious diseases and the prediction of where new RNA viruses are likely to be discovered is a significant public health concern. Here, we geocoded the first peer-reviewed reports of 223 human RNA viruses. Using a boosted regression tree model, we matched these virus data with 33 explanatory factors related to natural virus distribution and research effort to predict the probability of virus discovery across the globe in 2010-2019. Stratified analyses by virus transmissibility and transmission mode were also performed. The historical discovery of human RNA viruses has been concentrated in eastern North America, Europe, central Africa, eastern Australia, and north-eastern South America. The virus discovery can be predicted by a combination of socio-economic, land use, climate, and biodiversity variables. Remarkably, vector-borne viruses and strictly zoonotic viruses are more associated with climate and biodiversity whereas non-vector-borne viruses and human transmissible viruses are more associated with GDP and urbanization. The areas with the highest predicted probability for 2010-2019 include three new regions including East and Southeast Asia, India, and Central America, which likely reflect both increasing surveillance and diversity of their virome. Our findings can inform priority regions for investment in surveillance systems for new human RNA viruses.

Indexed as

BiodiversityClimateHumansPublic HealthRNA VirusesRNA Virus InfectionsSpatio-Temporal Analysis

Identifiers

PMID33253277
PMCPMC7728385
OpenAlexW3110025665

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.