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http://hdl.handle.net/10773/32289| Title: | Analysis of a COVID-19 compartmental model: a mathematical and computational approach |
| Author: | Abreu, Zita Cantin, Guillaume Silva, Cristiana J. |
| Keywords: | SAIRP epidemic model COVID-19 Stability analysis Free and open-source software Reproducibility of scientific method |
| Issue Date: | 14-Sep-2021 |
| Publisher: | AIMS Press |
| Abstract: | In this note, we consider a compartmental epidemic mathematical model given by a system of differential equations. We provide a complete toolkit for performing both a symbolic and numerical analysis of the spreading of COVID-19. By using the free and open-source programming language Python and the mathematical software SageMath, we contribute for the reproducibility of the mathematical analysis of the stability of the equilibrium points of epidemic models and their fitting to real data. The mathematical tools and codes can be adapted to a wide range of mathematical epidemic models. |
| Peer review: | yes |
| URI: | http://hdl.handle.net/10773/32289 |
| DOI: | 10.3934/mbe.2021396 |
| ISSN: | 1547-1063 |
| Appears in Collections: | CIDMA - Artigos DMat - Artigos SCG - Artigos |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ZitaCantinSilva10.3934_mbe.2021396.pdf | 824.95 kB | Adobe PDF | View/Open |
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