Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study
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DOI: 10.1136/bmjopen-2021-053922
Abstract: Objectives Malaria is a vector-borne disease that remains a serious public health problem due to its climatic sensitivity. Accurate prediction of malaria re-emergence is very important in taking corresponding effective measures. This study aims to… read more here.
Keywords: prediction; malaria cases; model; emergence malaria ... See more keywords