Exploring COVID-19 Morbidity and Mortality During the First Three Epidemic Waves in Ontario, Canada: A One Health Perspective to Assessing Risk
dc.contributor.advisor | Berke, Olaf | |
dc.contributor.author | Mallare, John David | |
dc.date.accessioned | 2023-05-11T16:15:48Z | |
dc.date.available | 2023-05-11T16:15:48Z | |
dc.date.copyright | 2023-05 | |
dc.date.created | 2023-04-28 | |
dc.degree.department | Department of Population Medicine | en_US |
dc.degree.grantor | University of Guelph | en |
dc.degree.name | Master of Science | en_US |
dc.degree.programme | Population Medicine | en_US |
dc.description.abstract | Livestock farming serves to support human sustenance and livelihood, but these systems also emit atmospheric particulate matter ≤ 2.5 µm (PM2.5) and ammonia (NH3), which are known respiratory stressors. Over three epidemic waves in Ontario, Canada, prolonged exposure to PM2.5 and NH3 were explored as risk factors for COVID-19 incidence and mortality. Through multilevel negative binomial principal component (PC) regression modeling, regional variations in PM2.5 were positively associated with COVID-19; the strength of this association declined as the pandemic continued. Compared to livestock farming, fuel combustion appeared to have had a more prominent role in the observed association of PM2.5 with COVID-19. There was a minor inverse association between NH3 and COVID-19, suggesting that livestock farming communities, as opposed to more urbanized communities, had a tendency toward a decreased risk of COVID-19 health outcomes; this result may reflect confounding. In this thesis, PC regression served as an effective tool for enabling a robust One Health risk factor analysis. PC regression can be recommended for studying intricate relationships in the One Health context. | en_US |
dc.description.sponsorship | Centre for Advancing Ethical and Artificial Intelligence | |
dc.description.sponsorship | University of Guelph | |
dc.identifier.uri | https://hdl.handle.net/10214/27556 | |
dc.language.iso | en | en_US |
dc.publisher | University of Guelph | en |
dc.rights.license | All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. | |
dc.subject | COVID-19 risk factors | en_US |
dc.subject | Livestock farming | en_US |
dc.subject | Respiratory stressors | en_US |
dc.subject | NH3 | en_US |
dc.title | Exploring COVID-19 Morbidity and Mortality During the First Three Epidemic Waves in Ontario, Canada: A One Health Perspective to Assessing Risk | en_US |
dc.type | Thesis | en |
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