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

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Predicting current habitat suitability for intermediate snail hosts of urogenital and intestinal schistosomiasis in the Lower Shire Valley floodplain of southern Malawi2025 · 5 citations
2. 2Spatio-ecological determinants of Biomphalaria and Bulinus snail intermediate hosts and schistosome-like infections in the Lango subregion, Northern Uganda: a geostatistical approach to guide targeted disease control2026
3. 3Ecological influences on host–parasite dynamics among Biomphalaria snails in two schistosomiasis endemic regions of Kenya2026
4. 4A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi2024 · 13 citations
5. 5A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi2024