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

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

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Bibliographic Details
Main Authors: Brooker, S, Hay, S, Issae, W, Hall, A, Kihamia, C, Lwambo, N, Wint, W, Rogers, D, Bundy, D
Other Authors: Federation of European Societies for Tropical Medicine and International Health (FESTMIH)
Format: Journal article
Language:English
Published: Blackwell Publishing Ltd. 2001
Subjects:
Infectious diseases
Zoological sciences

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