Effects of climate variability and environmental factors on the spatiotemporal distribution of malaria incidence in the Amhara national regional state, Ethiopia
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This retrospective cross-sectional routine data was analyzed for monthly malaria case incidence and environmental data were collected from Amhara Public Health Institute, NASA, CHIRPS, and World Global Climate Databases. We have employed advanced statistical models such as parametric and nonparametric spatiotemporal trend models, Bayesian generalized Poisson model, Kulldorff’s retrospective space-time scan statistic, spatiotemporal generalized additive models, classification and regression training for spatiotemporal data (CAST), and Bayesian spatiotemporal predictive models.