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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.

Original publication

DOI

10.1016/s1471-4922(01)02223-1

Type

Journal article

Journal

Trends in parasitology

Publication Date

02/2002

Volume

18

Pages

70 - 74

Addresses

Dept of Infectious Disease Epidemiology, Imperial College School of Medicine, Norfolk Place, W2 1PG, London, UK. s.brooker@ic.ac.uk

Keywords

Animals, Humans, Schistosoma haematobium, Communicable Diseases, Schistosomiasis haematobia, Schistosomicides, Mass Screening, Risk Factors, Reproducibility of Results, Predictive Value of Tests, ROC Curve, Ecology, Climate, Models, Biological, Africa