Evidence map›Paper›PMID 39674197›Full record

ArticleThe Lancet. Planetary health2024

The impact of natural climate variability on the global distribution of Aedes aegypti: a mathematical modelling study.

Alexander R Kaye, Uri Obolski, Lantao Sun, William S Hart, James W Hurrell, Michael J Tildesley, Robin N Thompson

Abstract read
In one paragraph

Article in The Lancet. Planetary health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  6. Entomological Surveillance ofJournal of arthropod-borne diseases · 2026
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  11. Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission byInternational journal of environmental research and public health · 2025
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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

7 authors.

Alexander R KayeMathematics Institute, University of Warwick, Coventry, UK; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK.
Uri ObolskiDepartment of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel; Porter School of the Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel.
Lantao SunDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.
William S HartMathematical Institute, University of Oxford, Oxford, UK.
James W HurrellDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.
Michael J TildesleyMathematics Institute, University of Warwick, Coventry, UK; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK; School of Life Sciences, University of Warwick, Coventry, UK.
Robin N ThompsonMathematical Institute, University of Oxford, Oxford, UK. Electronic address: robin.thompson@maths.ox.ac.uk.

Funding

Wellcome Trust 226057
6 · The paper itself

Abstract

backgroundAedes aegypti spread pathogens affecting humans, including dengue, Zika, and yellow fever viruses. Anthropogenic climate change is altering the spatial distribution of Ae aegypti and therefore the locations at risk of vector-borne disease. In addition to climate change, natural climate variability, resulting from internal atmospheric processes and interactions between climate system components (eg, atmosphere-land and atmosphere-ocean interactions), determines climate outcomes. However, the role of natural climate variability in modifying the effects of anthropogenic climate change on future environmental suitability for Ae aegypti has not been assessed fully. In this study, we aim to assess uncertainty arising from natural climate variability in projections of Ae aegypti suitability up to the year 2100.

methodsIn this mathematical modelling study, we developed an ecological model in which Ae aegypti population dynamics depend on climate variables (temperature and rainfall). We used 100 projections of future climate from the Community Earth System Model, a comprehensive climate model that simulates natural climate variability as well as anthropogenic climate change, in combination with our ecological model to generate a range of equally plausible scenarios describing the global distribution of suitable conditions for Ae aegypti up to 2100. Each of these scenarios corresponds to a single climate projection, allowing us to explore the difference in Ae aegypti suitability between the most-suitable and the least-suitable projections.

findingsOur key finding was that natural climate variability generates substantial variation in future projections of environmental suitability for Ae aegypti. Even for projections generated under the same Shared Socioeconomic Pathway (SSP) scenario (SSP3-7.0), in 2100 climatic conditions in London might be suitable for Ae aegypti for 0-5 months of the year, depending on natural climate variability.

interpretationNatural climate variability affects environmental suitability for important disease vectors. Some regions could experience vector-borne disease outbreaks earlier than expected under climate change alone.

fundingEngineering and Physical Sciences Research Council and Wellcome Trust.

Indexed as

AedesClimate ChangeModels, TheoreticalMosquito VectorsAnimal DistributionAnimalsClimatePopulation Dynamics

Identifiers

PMID39674197
PMCPMC7617884

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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.