Characterizing the Dynamics of Covid-19 Based on Data-Reference-Cited by-同舟云学术

Characterizing the Dynamics of Covid-19 Based on Data

Published:2021-11-20 Issue:3 Volume:1 Page:25-30
ISSN:2691-8862
Container-title:Journal of Current Viruses and Treatment Methodologies
language:en
Short-container-title:JVAT

Author:

Isea Raúl¹

Affiliation:

1. Fundación Instituto de Estudios Avanzados, Hoyo de la Puerta, Baruta, Venezuela.

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.

Publisher

Open Access Pub

Subject

General Earth and Planetary Sciences,General Environmental Science

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