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Recurrent Neural Networks (RNN) to Predict the Curve of COVID-19 in Ecuador During the El Niño Phenomenon

Abstract:

In Ecuador, COVID-19 disease became a mortal enemy since its wave of contagion in 2020 and represented a significant challenge for public health due to its high incidence and difficulties in early diagnosis. In this paper, it is proposed to use artificial intelligence (AI) techniques, such as Deep Learning, to predict the curve of cases that this disease will present in the coming weeks. The objective is for the medical system like Ministerio de Salud Pública to take advantages because this disease can have incidences due to the weather phenomenon called “El niño phenomenon”, that is associated with an increase in rainfall in some areas of southern South America, the southern United States, the Horn of Africa, and Central Asia. This study will contribute to a more timely and effective decision-making for the country.