Prediction of Risk of Re-establishment of Malaria in Sri Lanka

A comprehensive district-wise forecasting system to monitor climate conditions, vector receptivity, and importation risks to prevent the return of malaria.

Climatic Forecasting

Forecast Rainfall, Temperature, and Humidity using advanced time-series models (SARIMA/Random Forest) to determine climatic receptivity.

Receptivity Forecasting

Assess the potential for malaria transmission based on vector density, biting behavior, and topographical factors combined with climate data.

Importation Risk

Predict the risk of malaria cases being imported into districts based on national trends and population movement patterns.

District Risk Map

Visualize the combined risk of re-establishment across Sri Lanka with interactive maps, metric selection, and detailed district-wise analysis.