Evidence map›Paper›PMID 40481331›Full record

ReviewNature reviews. Genetics2026

Phylogenetic insights into the transmission dynamics of arthropod-borne viruses.

Verity Hill, Simon Dellicour, Marta Giovanetti, Nathan D Grubaugh

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Epidemiological and genomic features of chikungunya virus disease in travellers returning from Cuba, September 2025 to January 2026: a GeoSentinel analysis.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  13. Article
  14. First molecular evidence ofCurrent research in parasitology & vector-borne diseases · 2026
    Article
  15. Article
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.

Verity HillDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Simon DellicourSpatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium.
Marta GiovanettiDepartment of Sciences and Technologies for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Rome, Italy.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. nathan.grubaugh@yale.edu.ORCID http://orcid.org/0000-0003-2031-1933

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
Enhancing dengue virus genomic surveillance to uncover circulating genetic diversityDP2AI176740 · NIAID · YALE UNIVERSITY · PI GRUBAUGH, NATHAN DALE · 2022 to 2025
$2.5M
NIAID NIH HHS DP2 AI176740NIAID NIH HHS U01 AI151698
6 · The paper itself

Abstract

Arthropod-borne viruses (arboviruses) impose substantial global health and economic burdens, affecting both human and animal populations. These viruses - including dengue, chikungunya, Rift Valley fever, Crimean-Congo haemorrhagic fever and bluetongue viruses - have complex transmission cycles involving vertebrate hosts and arthropod vectors. Their circulation in livestock and wildlife complicate surveillance, as traditional epidemiological approaches rely mainly on human clinical data. Climate change and increasing global interconnectedness are accelerating their emergence and invasion, necessitating a deeper understanding of their ecological and epidemiological dynamics. Advances in genomic surveillance and phylogenetics can provide insights into spatial and temporal patterns of virus transmission that are difficult to obtain through traditional surveillance systems. By integrating phylogenetic models with ecological and epidemiological data, we can better detect and respond to arbovirus introductions, spillovers and outbreaks that are relevant to both human and veterinary health.

Indexed as

ArbovirusesArbovirus InfectionsArthropodsArthropod VectorsPhylogenyAnimalsHumans

Identifiers

PMID40481331
PMCPMC12257617

What OpenQuestion holds

Textmetadata
LicenceTDM
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.