Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data
- 21 December 2001
- journal article
- research article
- Published by Wiley in Tropical Medicine & International Health
- Vol. 6 (12) , 998-1007
- https://doi.org/10.1046/j.1365-3156.2001.00798.x
Abstract
In this paper, remotely sensed (RS) satellite sensor environmental data, using logistic regression, are used to develop prediction maps of the probability of having infection prevalence exceeding 50%...Keywords
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