Mapping the Probability of Schistosomiasis and Associated Uncertainty, West Africa

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Clements, Archie C.A. ; Garba, Amadou ; Sacko, Moussa ; Touré, Seydou ; Dembelé, Robert ; Landouré, Aly ; Bosque-Oliva, Elisa ; Gabrielli, Albis F. ; Fenwick, Alan
• 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.
• Subjects:
  Adolescent Animals Anthelmintics Bayes Theorem Dispatch Humans Male Models, Statistical National Health Programs Praziquantel Probability Schistosoma Haematobium Schistosomiasis Haematobia

  More +
• Source:
  Emerg Infect Dis. 14(10):1629-1632
• Pubmed ID:
  18826832
• Pubmed Central ID:
  PMC2609896
• Document Type:
  Journal Article
• Place as Subject:
  Africa, Western
• Location:
  Africa
• Volume:
  14
• Issue:
  10
• 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:
  [PDF - 320.84 KB ]