Projected cases of malaria in hundred thousands of people with: No interventions of LLINs, coverage based on 2009 LLINs distribution, and additional coverage of LLINs; (A) in Central Equatoria, (B) in Western Bahr-El-Ghazal and (C) in Warrap.
This project predicts malaria cases in Tamale, Ghana using hospital, rainfall, and temperature data.
Predicting malaria incidence across Sub-Saharan Africa using climate and demographic variables — reg
ML model predicting malaria risk in Nigeria. # Malaria Risk Prediction for Nigeria ML classific
Prediction of Malaria Prevalence using Climatic factors, among residents of Damaturu, Yobe State, Ni
Predicting malaria hotspots in Sudan using machine learning # Malaria-Prediction-Sudan Predicting m
This repository is for structured data storage in developing a predictive model of Malaria incidence