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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/30430
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DC FieldValueLanguage
dc.contributor.advisorEarn, David-
dc.contributor.advisorDushoff, Jonathan-
dc.contributor.authorStelmach, Sophie-
dc.date.accessioned2024-10-16T01:27:41Z-
dc.date.available2024-10-16T01:27:41Z-
dc.date.issued2024-
dc.identifier.urihttp://hdl.handle.net/11375/30430-
dc.description.abstractAge plays a crucial role in the severity of COVID-19 infections. This study aims to compare the severe effects of the dominant variants of concern in Ontario, Canada, and examine how the relationship between age and serious outcomes evolved throughout the pandemic. We analyzed 1,526,024 incidence records of SARS-CoV-2, collected by Public Health Ontario from January 23, 2020, to December 6, 2022, to construct age distributions for known infections (KIs), hospitalizations, and fatalities. By examining hospitalization and fatality probabilities across different age groups during the periods when the Ancestral, Alpha, Delta, and Omicron variants were dominant, we found that older age groups consistently faced higher risks. The Alpha and Delta periods exhibited the highest probabilities of hospitalization and fatality among older individuals, while the Omicron epoch showed the lowest. The roll-out of vaccines and the implementation of varying restrictions during different waves of the pandemic likely influenced these outcomes, highlighting the relationship between age, variant transmissibility, and public health measures.en_US
dc.language.isoenen_US
dc.titleAge-Dependence of Hospitalization and Fatality for Different SARS-CoV-2 Variants of Concern in Ontario, Canadaen_US
dc.typeThesisen_US
dc.contributor.departmentMathematics and Statisticsen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Science (MSc)en_US
Appears in Collections:Open Access Dissertations and Theses

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