Data prediction system in malaria control based on physio-chemical parameters of anopheles breeding sites

Parkoo, Kodzo M. and Gueye, Bamba and Sarr, Cheikh and Dia, Ibrahima (2022) Data prediction system in malaria control based on physio-chemical parameters of anopheles breeding sites. EAI Endorsed Transactions on Internet of Things.

[thumbnail of 52609.pdf] PDF
52609.pdf

Download (2MB)

Abstract

Malaria is a public health problem in Senegal. As a result, a real program focused on prevention and treatment has been put in place to fight it. Despite the efforts made, the prevalence rate of malaria is still worrying. To have a prediction system that, once certain physicochemical information, wi

Item Type: Article
Date Deposited: 04 Mar 2026 15:58
Last Modified: 11 Apr 2026 10:47
URI: http://eprints.eai.eu/id/eprint/41651

Actions (login required)

View Item
View Item