Isea Raúl, Characterizing the Dynamics of Covid-19 Based on Data, Journal of Current Viruses and Treatment Methodologies, Volume 1, Issue 3, 2021, Pages 25-30, ISSN 2691-8862, https://doi.org/10.14302/issn.2691-8862.jvat-21-3991.
(https://oap-researcharticles.org/jvat/article/1736)
Abstract: The objective of this paper is to apply datadriven discovery of dynamics modeling to obtain a system of differential equations that allows us to describe the transmission dynamics of Covid-19, based on the number of confirmed cases and deaths reported daily. This methodology was applied in four different countries: Brazil, Colombia, Venezuela, and the United States. The main advantage is that only one differential equation is needed to characterize the dynamic of Covid-19 without any mathematical assumption.
Keywords: Covid-19; Data driven; SINDy; Model; SARS-CoV-2.