Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Clements, Archie C.A. ; Garba, Amadou ; Sacko, Moussa ; Touré, Seydou ; Dembelé, Robert ; ... More +
Clements, Archie C.A. ; Garba, Amadou ; Sacko, Moussa ; Touré, Seydou ; Dembelé, Robert ; Landouré, Aly ; Bosque-Oliva, Elisa ; Gabrielli, Albis F. ; Fenwick, Alan Less -
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.
Subject:
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Adolescent Animals Anthelmintics Bayes Theorem Dispatch Humans Male Models, Statistical National Health Programs Praziquantel Probability Schistosoma Haematobium Schistosomiasis Haematobia
Source:
Emerg Infect Dis. 14(10):1629-1632
Pubmed ID:
18826832
Pubmed Central ID:
PMC2609896
Document Type:
Journal Article
Place as Subject:
Africa, Western
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:a9afe6bccbe3205c70258a2d48f60f9f2c461e9182be246a6982352602faaf7e
Download URL:
https://stacks.cdc.gov/view/cdc/17259/cdc_17259_DS1.pdf
File Type:

Supporting Files

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  	08-0366_Techapp-s1.pdf	pdf

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