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Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa

We aimed to map the probability of Schistosoma haematobium infection being >50%, a threshold for annual mass praziquantel distribution. Parasitologic surveys were conducted in Burkina Faso, Mali, and Niger, 2004–2006, and predictions were made by using Bayesian geostatistical models. Clusters wit...

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Autores principales: Clements, Archie C.A., Garba, Amadou, Sacko, Moussa, Touré, Seydou, Dembelé, Robert, Landouré, Aly, Bosque-Oliva, Elisa, Gabrielli, Albis F., Fenwick, Alan
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2609896/
https://www.ncbi.nlm.nih.gov/pubmed/18826832
http://dx.doi.org/10.3201/eid1410.080366
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author Clements, Archie C.A.
Garba, Amadou
Sacko, Moussa
Touré, Seydou
Dembelé, Robert
Landouré, Aly
Bosque-Oliva, Elisa
Gabrielli, Albis F.
Fenwick, Alan
author_facet Clements, Archie C.A.
Garba, Amadou
Sacko, Moussa
Touré, Seydou
Dembelé, Robert
Landouré, Aly
Bosque-Oliva, Elisa
Gabrielli, Albis F.
Fenwick, Alan
author_sort Clements, Archie C.A.
collection PubMed
description We aimed to map the probability of Schistosoma haematobium infection being >50%, a threshold for annual mass praziquantel distribution. Parasitologic surveys were conducted in Burkina Faso, Mali, and Niger, 2004–2006, and predictions were made by using Bayesian geostatistical models. Clusters with >50% probability of having >50% prevalence were delineated in each country.
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spelling pubmed-26098962009-01-13 Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa Clements, Archie C.A. Garba, Amadou Sacko, Moussa Touré, Seydou Dembelé, Robert Landouré, Aly Bosque-Oliva, Elisa Gabrielli, Albis F. Fenwick, Alan Emerg Infect Dis Dispatch We aimed to map the probability of Schistosoma haematobium infection being >50%, a threshold for annual mass praziquantel distribution. Parasitologic surveys were conducted in Burkina Faso, Mali, and Niger, 2004–2006, and predictions were made by using Bayesian geostatistical models. Clusters with >50% probability of having >50% prevalence were delineated in each country. Centers for Disease Control and Prevention 2008-10 /pmc/articles/PMC2609896/ /pubmed/18826832 http://dx.doi.org/10.3201/eid1410.080366 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Dispatch
Clements, Archie C.A.
Garba, Amadou
Sacko, Moussa
Touré, Seydou
Dembelé, Robert
Landouré, Aly
Bosque-Oliva, Elisa
Gabrielli, Albis F.
Fenwick, Alan
Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title_full Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title_fullStr Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title_full_unstemmed Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title_short Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa
title_sort mapping the probability of schistosomiasis and associated uncertainty, west africa
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2609896/
https://www.ncbi.nlm.nih.gov/pubmed/18826832
http://dx.doi.org/10.3201/eid1410.080366
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