Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence
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Forecasting malaria incidence is vital for effective resource allocation during malaria elimination. In this study, we highlight robust models for forecasting incidence using climatic and malaria data from Goa, India. Multi-collinearity and Shapley Additive Ex... ...
