A pandemia de SARS-CoV-2: cenários epidemiológicos e medidas de correlações

The Coronavirus pandemic has been one of the most complex public health problems, in its magnitude, up to present moment human history. One possibility guide policies combat this disease is proposition predictive models regarding dissemination SARS-CoV-2. This article aims some methods, non-linear fits and computational used estimate propagation countries such as Italy Brazil. We highlight a Solid State Physics Model forecasting method. A sigmoid curve specifically solid materials transformation processes: Avrami or Johnson-Mehl-Avrami-Kolmogorov (JMAK) equation. Also noteworthy are SEIAHR model adjustments through Gaussians. Finally, we can infer that methodologies were able propose pattern for process regions studied.