ArticlePLoS neglected tropical diseases2023
Non-linear associations between meteorological factors, ambient air pollutants and major mosquito-borne diseases in Thailand.
Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Impact of climate change on the global circulation of chikungunya virus: current evidence, future projections, and adaptation strategies.Infectious diseases of poverty · 2026Review
- Association between persistent organic pollutants and malaria incidence in mainland China: a population-based surveillance and modeling analysis.BMC public health · 2026Article
- Heterogeneous suppressive effect of Wolbachia incompatible insect technique coupled with sterile insect technique across time and historical Ae. aegypti abundance - using distributional synthetic controls.PLoS computational biology · 2026Article
- Projecting long-term excess risks of major infectious diseases associated with future extreme weather events in Thailand.PLoS neglected tropical diseases · 2026Article
- Spatial pattern assessment of Aedes mosquito bite risk in a subtropical metropolitan area: A case study in Shenzhen.PLoS neglected tropical diseases · 2025Article
- Association among persistent chemical pollutants and infectious encephalitis: a mixture exposure and mediation approach.BMC public health · 2025Article
- Epidemiological Features, Clinical Symptoms, and Environmental Risk Factors for Notifiable Japanese Encephalitis in Taiwan From 2008 to 2020: Retrospective Study.JMIR public health and surveillance · 2025Article
- Characterizing Epidemiological Trends and Associated Factors of Japanese Encephalitis in China: Insights From a 17-Year National Surveillance Analysis.Transboundary and emerging diseases · 2025Article
- Associations Between Anthropogenic Factors, Meteorological Factors, and Cause-Specific Emergency Department Admissions.GeoHealth · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundTransmission intensity for mosquito-borne diseases are highly heterogenous and multi-factorial. Understanding risk factors associated to disease transmission allow the optimization of vector control. This study sets out to understand and compare the combined anthropogenic and environmental risk factors of four major mosquito-borne diseases, dengue, malaria, chikungunya and Japanese encephalitis in Thailand.
methodsAn integrated analysis of mosquito-borne diseases, meteorological and ambient air pollutants of 76 provinces of Thailand was conducted over 2003-2021. We explored the use of generalized linear models and generalized additive models to consider both linear and non-linear associations between meteorological factors, ambient air pollutants and mosquito-borne disease incidence. Different assumptions on spatio-temporal dependence and nonlinearity were considered through province-specific and panel models, as well as different spline functions. Disease-specific model evidence was assessed to select best-fit models for epidemiological inference downstream.
resultsAnalyses indicated several findings which can be generally applied to all diseases explored: (1) higher AH above mean values was positively associated with disease case counts (2) higher total precipitation above mean values was positively associated with disease case counts (3) extremely high temperatures were negatively associated with disease case counts (4) higher SO2 and PM2.5 surface concentrations were negatively associated with disease case counts. However, the relationships between disease and RH, non-extreme temperatures and CO surface concentration were more mixed, with directions of associations changing across the different diseases considered.
conclusionsThis study found protective and enhancing effects of meteorological and ambient air pollutant factors on mosquito-borne diseases burdens in Thailand. Further studies should employ these factors to understand and predict risk factors associated with mosquito-borne disease transmission.
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