Evidence map›Paper›PMID 26702033›Full record

ReviewProceedings. Biological sciences2015

Virus evolution and transmission in an ever more connected world.

Oliver G Pybus, Andrew J Tatem, Philippe Lemey

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–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

71 citing papers in PubMed.

  1. Article
  2. Article
  3. Over time analysis of the codon usage of SARS-CoV-2 and its variants.Computational and structural biotechnology journal · 2025
    Article
  4. Article
  5. Transoceanic pathogen transfer in the age of sail and steam.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Population genomics of diarrheagenic Escherichia coli uncovers high connectivity between urban and rural communities in Ecuador.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Accounting for spatial sampling patterns in Bayesian phylogeography.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article

11 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

3 authors.

Oliver G PybusDepartment of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK oliver.pybus@zoo.ox.ac.uk.
Andrew J TatemDepartment of Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK Fogarty International Center, National Institutes of Health, Bethesda, MA, USA Flowminder Foundation, Stockholm, Sweden.
Philippe LemeyDepartment of Microbiology and Immunology, Rega Institute, KU Leuven-University of Leuven, Leuven, Belgium.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joaniter Immaculate Nankabirwa · 2010 to 2026
$29.3M
European Research Council 260864NIAID NIH HHS U19 AI089674NIAID NIH HHS U19AI089674Wellcome Trust 106866/Z/15/Z
6 · The paper itself

Abstract

The frequency and global impact of infectious disease outbreaks, particularly those caused by emerging viruses, demonstrate the need for a better understanding of how spatial ecology and pathogen evolution jointly shape epidemic dynamics. Advances in computational techniques and the increasing availability of genetic and geospatial data are helping to address this problem, particularly when both information sources are combined. Here, we review research at the intersection of evolutionary biology, human geography and epidemiology that is working towards an integrated view of spatial incidence, host mobility and viral genetic diversity. We first discuss how empirical studies have combined viral spatial and genetic data, focusing particularly on the contribution of evolutionary analyses to epidemiology and disease control. Second, we explore the interplay between virus evolution and global dispersal in more depth for two pathogens: human influenza A virus and chikungunya virus. We discuss the opportunities for future research arising from new analyses of human transportation and trade networks, as well as the associated challenges in accessing and sharing relevant spatial and genetic data.

Indexed as

Evolution, MolecularChikungunya FeverChikungunya virusCommunicable Diseases, EmergingDisease OutbreaksDisease Transmission, InfectiousGenetic VariationHumansInfluenza A virusInfluenza, HumanPhylogeographyTravelVirus DiseasesVirusesepidemiologyevolutiongeographyphylogeneticstransmissionvirus

Identifiers

PMID26702033
PMCPMC4707738

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.