Evidence map›Paper›PMID 41490248›Full record

ArticlePLoS neglected tropical diseases2026

Projecting long-term excess risks of major infectious diseases associated with future extreme weather events in Thailand.

Esther Li Wen Choo, Pei Ma, Jo Yi Chow, Steve Hung-Lam Yim, Oliver Brady, Borame Lee Dickens, Jue Tao Lim

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Esther Li Wen ChooLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3165-8895
Pei MaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jo Yi ChowLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Steve Hung-Lam YimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Oliver BradyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Borame Lee DickensSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jue Tao LimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-2245-0331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is postulated to impact infectious disease transmission, yet few studies have characterised the excess risks of infectious diseases associated with extreme weather events. To address this, we conducted a study estimating and projecting the impacts of extreme heat and precipitation on the incidence of major infectious diseases in Thailand. We developed, fitted and validated an analytical framework to model province-level disease cases and their relationship with extreme weather indicators based on historical data. We used generalised additive models to delineate the relationship between monthly extreme heat days, standardised precipitation index and incidence rates of seven infectious diseases (dengue, malaria, Japanese encephalitis, melioidosis, leptospirosis, pneumonia, influenza) across Thailand's provinces. Disease-specific models were fitted to historical surveillance data and used to project future disease incidence across 4 Shared Socioeconomic Pathways (SSP) based on MIROC6 climate projections. Historically, extreme heat was associated with an increase in all infectious disease incidences except malaria and leptospirosis. We projected that dengue risk declines in most future climate change scenarios, except SSP245 where extreme heat drives a significant rise in Northern and Central Thailand from 2021-2060. Nationwide dengue risk is expected to decrease by 24.9% (95%CI:9.68%,40.0%) during future periods of extreme weather from 2061-2080 compared to historical baselines. Influenced by heat and dry weather in Northeastern and Central regions, influenza risk is expected to increase under SSP245 in 2021-2060, then decrease with extreme precipitation. Influenza risk in Nakhon Ratchasima is expected to increase by 36.8% (95%CI:9.83%,63.8%) in 2021-2040 under SSP245. Localised public health interventions are necessary to address climate change impacts.

Indexed as

Climate ChangeCommunicable DiseasesExtreme WeatherDengueHumansIncidenceLeptospirosisMalariaThailandWeather

Identifiers

PMID41490248
PMCPMC12782439

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Registered trials

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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.