Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration

Spatially weighted data fusion using secondary data improved the early identification of schistosomiasis hotspots. Addressing the imbalance of hotspots can further improve the early identification of the hotspots.

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Publication Details

Journal
PLoS neglected tropical diseases
Published
2025-07-16
DOI
https://doi.org/10.1371/journal.pntd.0013315
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration

Ye Shen, Yewen Chen, Leonardo Martínez, Fangzhi Luo et al.
PLoS neglected tropical diseases
Computational Drug Discovery Methods
article

Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration

Ye Shen, Yewen Chen, Leonardo Martínez, Fangzhi Luo, Susan Jiang
article en

Abstract

Spatially weighted data fusion using secondary data improved the early identification of schistosomiasis hotspots. Addressing the imbalance of hotspots can further improve the early identification of the hotspots.

PLoS neglected tropical diseasesVol. 19(7)
Boston University (US), University of Georgia (US)
Openalex Percentile: Top 81%
Computational Drug Discovery Methods
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