Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics

Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics

Abstract The global elimination of lymphatic filariasis (LF) is a major focus of the World Health Organization. One key challenge is locating residual infections that can perpetuate the transmission cycle. We show how a targeted sampling strategy using predictions from a geospatial model, combining...

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Autores principales: Helen J. Mayfield, Hugh Sturrock, Benjamin F. Arnold, Ricardo Andrade-Pacheco, Therese Kearns, Patricia Graves, Take Naseri, Robert Thomsen, Katherine Gass, Colleen L. Lau
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/cb04387885e54caa9663c31ec57feff6
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