Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia Full Text
Malaria Journal, 05/15/2012
Midekisa A et al. – Malaria risk indicators such as satellite–based rainfall estimates, LST, EVI, and ETa exhibited significant lagged associations with malaria cases in the Amhara region and improved model fit and prediction accuracy. These variables can be monitored frequently and extensively across large geographic areas using data from earth–observing sensors to support public health decisions.