A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada
Abstract The number of confirmed COVID-19 cases reached over 1.3 million in Ontario, Canada by June 4, 2022. The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019. Much attention has thus been devoted to track...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-42043-y |
| _version_ | 1797453244450996224 |
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| author | Yuxuan Zhao Samuel W. K. Wong |
| author_facet | Yuxuan Zhao Samuel W. K. Wong |
| author_sort | Yuxuan Zhao |
| collection | DOAJ |
| description | Abstract The number of confirmed COVID-19 cases reached over 1.3 million in Ontario, Canada by June 4, 2022. The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019. Much attention has thus been devoted to tracking and modelling the transmission of COVID-19. Compartmental models are commonly used to mimic epidemic transmission mechanisms and are easy to understand. Their performance in real-world settings, however, needs to be more thoroughly assessed. In this comparative study, we examine five compartmental models—four existing ones and an extended model that we propose—and analyze their ability to describe COVID-19 transmission in Ontario from January 2022 to June 2022. |
| first_indexed | 2024-03-09T15:20:00Z |
| format | Article |
| id | doaj.art-e2785dedb3544d2cac180f85cf534a27 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:20:00Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-e2785dedb3544d2cac180f85cf534a272023-11-26T12:53:44ZengNature PortfolioScientific Reports2045-23222023-09-0113111610.1038/s41598-023-42043-yA comparative study of compartmental models for COVID-19 transmission in Ontario, CanadaYuxuan Zhao0Samuel W. K. Wong1Department of Statistics and Actuarial Science, University of WaterlooDepartment of Statistics and Actuarial Science, University of WaterlooAbstract The number of confirmed COVID-19 cases reached over 1.3 million in Ontario, Canada by June 4, 2022. The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019. Much attention has thus been devoted to tracking and modelling the transmission of COVID-19. Compartmental models are commonly used to mimic epidemic transmission mechanisms and are easy to understand. Their performance in real-world settings, however, needs to be more thoroughly assessed. In this comparative study, we examine five compartmental models—four existing ones and an extended model that we propose—and analyze their ability to describe COVID-19 transmission in Ontario from January 2022 to June 2022.https://doi.org/10.1038/s41598-023-42043-y |
| spellingShingle | Yuxuan Zhao Samuel W. K. Wong A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada Scientific Reports |
| title | A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada |
| title_full | A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada |
| title_fullStr | A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada |
| title_full_unstemmed | A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada |
| title_short | A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada |
| title_sort | comparative study of compartmental models for covid 19 transmission in ontario canada |
| url | https://doi.org/10.1038/s41598-023-42043-y |
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