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COVID-19 Cases—Deaths: First Approach to the Ecuadorian Instance

Abstract:

The global pandemic caused by COVID-19 is of global concern; therefore, it is vitally important to identify the effects of the virus. In the present work, we work with neural networks to pbkp_redict the effect of cases versus deaths in Ecuador. The experimental data were collected from official reports from March to May 2020, which served to pbkp_redict the relationship between the parameters considered. This work is still under development, but it is very important when proposing algorithms based on machine learning and artificial intelligence as decision-making mechanisms.