A pandemia de SARS-CoV-2: Cenários epidemiológicos e medidas de correlações
Abstract
The Coronavirus pandemic has been one of the most complex public health problems, in its magnitude, up to the present moment in human history. One possibility to guide public policies to combat this disease is the proposition of predictive models regarding the dissemination of SARS-CoV-2. This article aims to present some methods, non-linear fits and computational models used to estimate Coronavirus propagation in countries such as Italy and Brazil. We highlight the proposition of a Solid State Physics Model as a forecasting method. A sigmoid curve specifically used in solid materials transformation processes: the Avrami or Johnson-Mehl-Avrami-Kolmogorov (JMAK) equation. Also noteworthy are the SEIAHR model and the non-linear adjustments through Gaussians. Finally, we can infer that the methodologies used were able to propose a pattern for the process of dissemination of Coronavirus in the regions studied.
Copyright (c) 2021 REVISTA CEREUS
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
DECLARAÇÃO DE TRANSFERÊNCIA DE DIREITOS AUTORAIS
Os autores do manuscrito submetido declaram ter conhecimento que em caso de aceitação do artigo, a Revista Cereus, passa a ter todos os direitos autorais sobre o mesmo. O Artigo será de propriedade exclusiva da Revista, sendo vedada qualquer reprodução, em qualquer outra parte ou meio de divulgação, impressa ou eletrônica.