Modified SIQR model for the COVID-19 outbreak in several countries
© 2022 John Wiley & Sons, Ltd.
| Veröffentlicht in: | Mathematical methods in the applied sciences. - 1998. - (2022) vom: 17. Jan. |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | Mathematical methods in the applied sciences |
| Schlagworte: | Journal Article SARS‐CoV‐2 epidemiology mSIQR model real data fitting |
| Zusammenfassung: | © 2022 John Wiley & Sons, Ltd. In this paper, we propose a modified Susceptible-Infected-Quarantine-Recovered (mSIQR) model, for the COVID-19 pandemic. We start by proving the well-posedness of the model and then compute its reproduction number and the corresponding sensitivity indices. We discuss the values of these indices for epidemiological relevant parameters, namely, the contact rate, the proportion of unknown infectious, and the recovering rate. The mSIQR model is simulated, and the outputs are fit to COVID-19 pandemic data from several countries, including France, US, UK, and Portugal. We discuss the epidemiological relevance of the results and provide insights on future patterns, subjected to health policies |
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| Beschreibung: | Date Revised 04.09.2024 published: Print-Electronic Citation Status Publisher |
| ISSN: | 0170-4214 |
| DOI: | 10.1002/mma.8082 |