VectAbundance: a spatio-temporal database of Aedes mosquitoes observations
Modelling approaches play a crucial role in supporting local public health agencies by
estimating and forecasting vector abundance and seasonality. However, the reliability of …
estimating and forecasting vector abundance and seasonality. However, the reliability of …
Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics
Physics informed neural networks have been gaining popularity due to their unique ability to
incorporate physics laws into data-driven models, ensuring that the predictions are not only …
incorporate physics laws into data-driven models, ensuring that the predictions are not only …
Adapting Physics-Informed Neural Networks To Optimize ODEs in Mosquito Population Dynamics
Physics informed neural networks have been gaining popularity due to their unique ability to
incorporate physics laws into data-driven models, ensuring that the predictions are not only …
incorporate physics laws into data-driven models, ensuring that the predictions are not only …
Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques
V Steindorf, HM KB, N Stollenwerk, A Cevidanes… - medRxiv, 2025 - medrxiv.org
Mosquito-borne diseases cause millions of deaths each year and are increasingly
spreading from tropical and subtropical regions into temperate zones, creating significant …
spreading from tropical and subtropical regions into temperate zones, creating significant …