Evidence map›Paper›PMID 40527633›Full record

ReviewTrends in molecular medicine2025

Priorities for modelling arbovirus transmission under climate change.

Ilaria Dorigatti, Katy A M Gaythorpe, Victoria M Cox, Francis A Windram, Lauren Cator

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Chikungunya resurgence highlights gaps inLancet regional health. Americas · 2026
    Article
  4. Article
  5. 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

5 authors.

Ilaria DorigattiMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. Electronic address: i.dorigatti@imperial.ac.uk.
Katy A M GaythorpeMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Victoria M CoxMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Francis A WindramDepartment of Life Sciences, Imperial College London, London, UK.
Lauren CatorDepartment of Life Sciences, Imperial College London, London, UK.

Funding

Wellcome Trust 213494Wellcome Trust 226727Wellcome Trust 228185
6 · The paper itself

Abstract

The transmission potential of arboviruses is extremely sensitive to environmental conditions. This sensitivity is due to both their intimate relationship with ectothermic vectors and, in many cases, also to the involvement of multiple host species in zoonotic transmission cycles. Here, we review how climate change will alter the transmission ecology and risk of these important infections. The challenge of predicting how climate change will impact these systems is daunting, but the need for tools to manage arbovirus risk under climate change is urgent and imperative. We argue that the development of climate-driven mechanistic models of disease transmission informed by empirical surveillance data is urgently needed to inform future responses and for generating the evidence that policy needs to tackle this global public health risk.

Indexed as

ArbovirusesArbovirus InfectionsClimate ChangeAnimalsHumansModels, Biologicalexperimental studiesfield-derived vectorsmechanistic modelsrisk mappingstatistical methodsvector-borne diseases

Identifiers

PMID40527633
PMCPMC7618571

What Socratic 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 Socratic graph.