Evidence map›Paper›PMID 27734858›Full record

ReviewNature2016

The evolution of Ebola virus: Insights from the 2013-2016 epidemic.

Edward C Holmes, Gytis Dudas, Andrew Rambaut, Kristian G Andersen

Abstract readReview
In one paragraph

Review in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 2 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

181 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Host phylogenetic distance drives trends in virus virulence and transmissibility across the animal-human interface.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Pooled it
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  19. Precision public health after Covid-19: a scoping review.International journal for equity in health · 2025
    Article
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121 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.

Edward C HolmesMarie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, New South Wales 2006, Australia.
Gytis DudasFred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
Andrew RambautInstitute of Evolutionary Biology, Ashworth Laboratories, University of Edinburgh, Edinburgh EH9 3FL, UK.
Kristian G AndersenThe Scripps Research Institute, Department of Immunology and Microbial Science, La Jolla, San Diego, California 92037, USA.

Funding

Scripps Translational Science InstituteUL1TR001114 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2013 to 2017
$24.0M
NCATS NIH HHS UL1 TR001114NIAID NIH HHS HHSN272201400048CWellcome Trust
6 · The paper itself

Abstract

The 2013-2016 epidemic of Ebola virus disease in West Africa was of unprecedented magnitude and changed our perspective on this lethal but sporadically emerging virus. This outbreak also marked the beginning of large-scale real-time molecular epidemiology. Here, we show how evolutionary analyses of Ebola virus genome sequences provided key insights into virus origins, evolution and spread during the epidemic. We provide basic scientists, epidemiologists, medical practitioners and other outbreak responders with an enhanced understanding of the utility and limitations of pathogen genomic sequencing. This will be crucially important in our attempts to track and control future infectious disease outbreaks.

Indexed as

Evolution, MolecularAnimalsEbolavirusGenome, ViralHemorrhagic Fever, EbolaHumansMolecular EpidemiologyPhenotypePublic Health

Identifiers

PMID27734858
PMCPMC5580494

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.