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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4348| Attacking the Covid-19 with the Ising-model and the Fermi-Dirac Distribution Function | |
| Lucas Squillante. Isys F. Mello. Antonio C. Seridonio. M. de Souza. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://arxiv.org/pdf/2003.11860v1.pdf | |
| We employ a spin $S$ = 1/2 Ising-like model and a Fermi-Dirac-like function to describe the spread of Covid-19. Our analysis, using the available official infections rate data reveals: $i$) that the epidemic curves, i.e., the number of reported cases $versus$ time, is well-described by a Gaussian function; $ii$) that the temporal evolution of the cumulative number of infected people follows a distorted Fermi-Dirac-like distribution function; $iii$) the key role played by the quarantine in the prevention of the spread of Covid-19 in terms of an $interacting$ parameter, which emulates the contact between infected and non-infected people. An analysis of the epidemic curves for Ebola, SARS, and Influenza A/H1N1 is also presented and described by a Gaussian function as well. Our findings demonstrate the universal character of well-established concepts in condensed matter Physics and their applications in different areas. | |
| arxiv.org | |
| 2020 | |
| Artículo | |
| https://arxiv.org/pdf/2003.11860v1.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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