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

PLoS Neglected Tropical Diseases

Volumn 7, Issue 1, 2013, Pages

  Sturrock, Hugh J W ^a   Pullan, Rachel L ^a   Kihara, Jimmy H ^b   Mwandawiro, Charles ^b   Brooker, Simon J ^a,c  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

^c KEMRI WELLCOME TRUST RESEARCH PROGRAMME   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; DATA BASE; ENDEMIC DISEASE; FEMALE; HUMAN; KENYA; MALE; PARASITOLOGY; PREDICTIVE VALUE; PREVALENCE; QUESTIONNAIRE; SCHISTOSOMA HEMATOBIUM; SCHISTOSOMIASIS HAEMATOBIA; SCHOOL; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

EID: 84873491213     PISSN: 19352727     EISSN: 19352735     Source Type: Journal    
DOI: 10.1371/journal.pntd.0002016     Document Type: Article

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