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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
