Modeling and Visualization of the COVID-19 Outbreak in Canadian Long-Term Care Homes

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COVID-19 has created a tragic impact in long-term care homes in Canada, accounting for an estimated 50 percent of COVID-19-related deaths. In order to address this problem, factors associated with the potential for a home to have an outbreak must be assessed. Using publicly available data from Statistics Canada and the Government of Ontario, this project will analyze geographical, operational, and structural factors that contribute to the spread of COVID-19 in long-term care homes, in order to better understand how databases can be put to use in combatting the spread in a meaningful way.

John Braun, Patrick Brown and Ngan Lyle will work with graduate students to assemble a database for the province of British Columbia to aid in the expansion of data analytics regarding COVID-19. This research will play a significant role in guiding intervention tactics that will reduce the impact of COVID-19 over the long-term presence of the virus.

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