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Infectious diarrhea is an important public health problem around the world. Meteorological factors have been strongly linked to the incidence of infectious diarrhea. Therefore, accurately forecast infectious diarrhea under the effect of meteorological factors is critical to control efforts. In this paper, the abilities of three different artificial neural network (ANN) models, including feed forward...
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