News
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Mid-Century and End-Century Climate Change Projections for Thailand in CMIP6
Read more: Mid-Century and End-Century Climate Change Projections for Thailand in CMIP6Mosquito populations are highly sensitive to environmental conditions, particularly temperature, rainfall, and humidity, that affect breeding, survival, and biting rates. To improve our ability to anticipate future dengue trends, we examined climate change projections for Thailand throughout the 21st century. By incorporating these projections into our models, we aim to better understand how long-term shifts…
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SARIMA model for Bangkok subdistrict levels prediction
Read more: SARIMA model for Bangkok subdistrict levels predictionIn April 2025, our team developed a first model for dengue outbreak predictions at the subdistrict level (kwhaengs) in Bangkok. The model takes into account the recent analysis of the different Dengue dynamics within the city. That information gives a clustering of the city and allows for an enhanced prediction. Further models are currently under…
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Association between geographical area and mosquito-borne diseases exposure risk in Bangkok
Read more: Association between geographical area and mosquito-borne diseases exposure risk in BangkokIn the framework of Arbothai project we are involving 5 schools where mosquito monitoring will be conducted weekly during the dry season. Gravid Aedes sticky traps are used to monitor mosquito populations. These traps are equipped with simple iButton sensors that record temperature and relative humidity. In addition, each school is fitted with one more…
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Public transport network estimation
Read more: Public transport network estimationIn April 2025, our team mapped the entire transport system in Thailand into a network of connections between provinces. A similar effort is currently underway at the subdistrict level in Bangkok. This information is essential for estimating population mobility across the country, which is a key factor in understanding and predicting the dynamics and spread…
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Dynamical compartmental model of Dengue epidemics in Thailand
Read more: Dynamical compartmental model of Dengue epidemics in ThailandIn January 2025, our team developed a compartmental model to simulate the spread of dengue, explicitly incorporating the two main circulating strains of the virus. This approach allows us to account for the complex dynamics linked to cross-immunity. The model is calibrated at the provincial level across all of Thailand, enabling us to capture both…
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First Kalman filter State-Space Model predictions issued for Bangkok
Read more: First Kalman filter State-Space Model predictions issued for BangkokIn January 2025, using dengue and climate data (temperature and rainfall), a structural time series model was fitted for the aggregated dengue cases occurring in Bangkok’s province. The model, run at 3, 6 and 12-months ahead was generated with a model trained up to December 2024 and generated a dual peak in dengue for 2025.…