Monte Carlo Deep Neural Network Model for Spread and Peak Prediction of COVID-19

Abstract

Just a few days before the beginning of this year a new virus, widely known as the COVID-19, was detected in Wuhan, capital of the province Hubei, China. Since then, COVID-19 has spread all across the globe infecting more than half a million people resulting to the passing of nearly 25000 patients. Beside the social pain that this new pandemic is causing, the measures put in force to halt the spreading of the virus are stressing the global economy indicating a domino efect that can last even longer than the probable eradication of COVID-19. Yet, these measures are necessary to prevent health system reach their capacity, an occasion where di cult decisions will need to be made such as prioritization of patients to be treated

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