Baseline infection prevalence across five subregions surrounding Lake Victoria, including two subregions in Tanzania (West and East) and three in Kenya (Northwest, Northeast, and South).

<p>The map layers were created using publicly available world map data from Natural Earth, accessed via the R package <i>rnaturalearth</i> [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0013315#pntd.0013315.ref024" target="_blank">...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yewen Chen (12013847) (author)
مؤلفون آخرون:	Fangzhi Luo (21728888) (author), Leonardo Martinez (702635) (author), Susan Jiang (10776913) (author), Ye Shen (294552) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> compared three key aspects pose extreme challenges incorporate neighboring information identifying key aspects enhance predictive modeling collecting secondary data 9 %, compared hotspot prediction accuracy xlink "> based xlink "> schistosomiasis baseline infection data 5 %- 37 hotspot imbalance distribution hotspot predictions based technique schistosomiasis prevention schistosomiasis consortium transmission areas timely intervention public sources predictor combinations operational research mitigate overfitting limited availability early identification
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Baseline infection prevalence across five subregions surrounding Lake Victoria, including two subregions in Tanzania (West and East) and three in Kenya (Northwest, Northeast, and South).

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