Risk prediction maps for schistosomiasis (SCH) in 2014 and 2021 for (A–B) Huambo, (C–D) Uige and (E–F) Zaire provinces, Angola.

<p>Low risk, <30%; Moderate risk, 30% to <75%; High risk, ≥75% (as determined by rapid diagnostic tests) (24). Base-layer map provided by the Database of Global Administrative Areas (GADM): <a href="https:// gadm.org/download_country.html" target="_blank">https:...

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Bibliographic Details
Main Author:	Adam W. Bartlett (12503845) (author)
Other Authors:	Tatiana Proboste (12096217) (author), Elsa P. Mendes (15573211) (author), Marta S. Palmeirim (4451587) (author), Ana Direito (15573226) (author), Ricardo J. Soares Magalhaes (2901179) (author), Sergio Lopes (4333762) (author), Susana Vaz Nery (7490780) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Cancer Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified provide granular estimates operated since 2013 open access environmental mat &# 233 geostatistical models depending demonstrating limited impact based preventive chemotherapy risk prediction maps geospatial analysis aims predicted risk throughout transmitted helminth distribution residual spatial autocorrelation investigated using semivariograms high schistosomiasis risk angola </ p predicted risk higher risk transmitted helminths spatiotemporal analysis geographic distribution xlink "> tailored decisions southwest corner small areas schistosomiasis hotspots rn covariance reducing provincial prevalence survey overall increase level prevalence increasing areas expanding areas either infection discernible change concerning trend analyses indicated </ b 880 schoolchildren 649 schoolchildren 599 schools 575 schools 461 schoolchildren 214 schools 121 schools 093 schoolchildren
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Risk prediction maps for schistosomiasis (SCH) in 2014 and 2021 for (A–B) Huambo, (C–D) Uige and (E–F) Zaire provinces, Angola.

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