Research

Research activities of interest to VBDModNet

Modelling vector-borne diseases can answer questions that are still unknown, fill gaps in knowledge and change the way disease control and prevention work.

RVF Early Warning Platform

A research platform that combines satellite rainfall and temperature, a mosquito population model and anomaly detection to flag unusual Rift Valley fever vector seasons in Tanzania.

Climate change and variability

Climate change and variability influence the dynamics and potential spatio-temporal distribution of many vector-borne diseases.

Simulation modelling

Running models built from equations or algorithms to explore systems too complex for analytical solutions — such as mosquito vectors and their hosts.

Machine learning

Anomaly detection, neural networks and support vector machines to find early signs of epidemics in available or simulated data.

Spatial modelling

Mapping current and future risk areas for vector-borne diseases. More content coming soon.