Evidence map›Paper›PMID 40310699›Full record

ReviewEnvironmental health perspectives2025

A State-of-the-Science Review of Long-Term Predictions of Climate Change Impacts on Dengue Transmission Risk.

Jahirul Islam, Francesca D Frentiu, Gregor J Devine, Hilary Bambrick, Wenbiao Hu

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Jahirul IslamEcosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-1424-5362
Francesca D FrentiuCentre for Immunology and Infection Control, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.
Gregor J DevineMosquito Control Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Hilary BambrickNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Wenbiao HuEcosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-6422-9240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change is predicted to profoundly impact dengue transmission risk, yet a thorough review of evidence is necessary to refine understanding of climate scenarios, projection periods, spatial resolutions, and modeling approaches.

objectivesWe conducted a state-of-the-science review to comprehensively understand long-term dengue risk predictions under climate change, identify research gaps, and provide evidence-based guidelines for future studies.

methodsWe searched three medical databases (PubMed, Embase, and Web of Science) up to 5 December 2024 to extract relevant modeling studies. An a

resultsOf 5,035 studies retrieved, 57 met inclusion criteria. Prediction for dengue risk ranged from 1950 to 2115, and 52.63% ( DISCUSSION: We identified the urgent need to strengthen dengue databases, use finer spatial resolutions to integrate big data, and incorporate potential socioenvironmental factors such as human movement, vegetation, microclimate, and vector control efficacy in modeling. Utilizing appropriate spatiotemporal models and validation techniques will be crucial for developing functional climate-driven early warning systems for dengue fever. https://doi.org/10.1289/EHP14463.

Indexed as

Climate ChangeDengueForecastingHumansRisk Assessment

Identifiers

PMID40310699
PMCPMC12083777

What OpenQuestion holds

Textmetadata
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.