Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data

Tropical Medicine and International Health

Volumn 6, Issue 12, 2001, Pages 998-1007

  Brooker, Simon ^a   Hay, Simon I ^b   Issae, Wahab ^c   Hall, Andrew ^d   Kihamia, Charles M ^c   Lwambo, Nicholas J S ^e   Wint, William ^b   Rogers, David J ^b   Bundy, Don A P ^f  

^a IMPERIAL COLLEGE SCHOOL OF MEDICINE   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c Tanzania Partnership Child Devmt   (Tanzania)

^d HELEN KELLER INTERNATIONAL   (Bangladesh)

^e NATIONAL INSTITUTE FOR MEDICAL RESEARCH   (Tanzania)

^f WORLD BANK   (United States)

Author keywords

Prediction; Receiver operating characteristic analysis; Remote sensing; Schistosoma haematobium; Tanzania; Urinary schistosomiasis

Indexed keywords

DISEASE INCIDENCE; REMOTE SENSING; SATELLITE DATA; SCHISTOSOMIASIS;

ARTICLE; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; EVALUATION; GEOGRAPHIC DISTRIBUTION; HEALTH CARE COST; HUMAN; INFECTION RISK; INTERMEDIATE HOST; LAKE; MAJOR CLINICAL STUDY; PARASITE TRANSMISSION; PARASITOSIS; PRACTICE GUIDELINE; PREDICTION; PREVALENCE; RECEIVER OPERATING CHARACTERISTIC; REMOTE SENSING; SCHISTOSOMIASIS; SCHOOL; SCHOOL CHILD; SEASHORE; SNAIL; STATISTICAL MODEL; TANZANIA; URINARY TRACT INFECTION; WORLD HEALTH ORGANIZATION;

ADOLESCENT; ANIMALS; CHILD; CHILD, PRESCHOOL; FORECASTING; HUMANS; LOGISTIC MODELS; PREVALENCE; ROC CURVE; SATELLITE COMMUNICATIONS; SCHISTOSOMA HAEMATOBIUM; SCHISTOSOMIASIS HAEMATOBIA; SNAILS; TANZANIA;

TANZANIA;

GASTROPODA; SCHISTOSOMA; SCHISTOSOMA HAEMATOBIUM; TREMATODA; VICTORIA;

EID: 0035655181     PISSN: 13602276     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-3156.2001.00798.x     Document Type: Article

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