Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Forecasting malaria incidence in the Southeast districts of Senegal using a machine learning approach

Record type:

paper
Creator:
AlmMouMorLuc
Publisher:
Spr
Host:

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by-nc-nd/4.0https://creativecommons.org/licenses/by-nc-nd/4.0

Similar

Forecasting HIV/AIDS Incidence in Ghana: A Retrospective Observational Study Using Ensemble Machine Learning Models A New Multiple Imputation Approach Using Machine Learning to Enhance Climate Databases in SenegalClimate-based predictive modeling of malaria incidence using statistical and machine learning approachesCrop yield forecasting in Senegal: application of Machine Learning methodsForecasting Civil Unrest in South Africa Using Social Media Data: A Hybrid Machine Learning ApproachVisualization and machine learning for forecasting of COVID-19 in Senegal

Forecasting HIV/AIDS Incidence in Ghana: A Retrospective Observational Study Using Ensemble Machine Learning Models 

Abstract Background: In Ghana, the precise forecasting of Human Immunodeficiency Virus (

A New Multiple Imputation Approach Using Machine Learning to Enhance Climate Databases in Senegal

Abstract This study aims at enhancing climate data in Senegal using information from the G

Climate-based predictive modeling of malaria incidence using statistical and machine learning approaches

Malaria remains a major public health burden in Nigeria, where climatic variability plays a critical

Crop yield forecasting in Senegal: application of Machine Learning methods

Abstract Two approaches are generally used to predict crop yields. The first is based on M

Forecasting Civil Unrest in South Africa Using Social Media Data: A Hybrid Machine Learning Approach

Civil unrest, encompassing protests and riots, is an increasing global concern, with incidents risin

Visualization and machine learning for forecasting of COVID-19 in Senegal

In this article, we give visualization and different machine learning technics for two weeks and 40