The Use of Bivariate Spatial Modeling of Questionnaire and Parasitology Data to Predict the Distribution of Schistosoma haematobium in Coastal Kenya

Open Access

Peer-reviewed

Research Article

Hugh J. W. Sturrock ,

* E-mail: sturrockh@globalhealth.ucsf.edu

Affiliation Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Rachel L. Pullan,

Affiliation Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Jimmy H. Kihara,

Affiliation Eastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
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Charles Mwandawiro,

Affiliation Eastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
⨯
Simon J. Brooker

Affiliations Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
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Schools
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Parasitology
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Schistosoma haematobium
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Parasitic diseases
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Urine
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Blood
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Questionnaires
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Rivers
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