A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa

A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa

Abstract Schistosomiasis, a prevalent water-borne disease second only to malaria, significantly impacts impoverished rural communities, primarily in Sub-Saharan Africa where over 90% of the severely affected population resides. The disease, majorly caused by Schistosoma mansoni and S. haematobium pa...

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Bibliographic Details
Main Authors: Zadoki Tabo, Lutz Breuer, Codalli Fabia, Gorata Samuel, Christian Albrecht
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Freshwater snails
Schistosomiasis
Predictor features
Random forest
Sub-Saharan Africa
Online Access:https://doi.org/10.1038/s41598-024-54699-1

Internet

https://doi.org/10.1038/s41598-024-54699-1

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