Abstract
Despite the increasing number of models to predict infection risk for a range of diseases, the assessment of their spatial limits, predictive performance and practical application are not widely undertaken. Using the example of Schistosoma haematobium in Africa, this article illustrates how ecozonation and receiver-operator characteristic analysis can help to assess the usefulness of available models objectively.
Publication types
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Africa / epidemiology
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Animals
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Climate
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Communicable Diseases / drug therapy
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Communicable Diseases / epidemiology
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Ecology*
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Humans
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Mass Screening
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Models, Biological
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Predictive Value of Tests
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ROC Curve
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Reproducibility of Results
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Risk Factors
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Schistosoma haematobium / drug effects
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Schistosoma haematobium / growth & development*
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Schistosomiasis haematobia / drug therapy
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Schistosomiasis haematobia / epidemiology*
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Schistosomiasis haematobia / prevention & control
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Schistosomicides / administration & dosage*
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Schistosomicides / pharmacology