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">...

Full description

Saved in:

Bibliographic Details
Main Author:	Yewen Chen (12013847) (author)
Other Authors:	Fangzhi Luo (21728888) (author), Leonardo Martinez (702635) (author), Susan Jiang (10776913) (author), Ye Shen (294552) (author)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

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).

Similar Items