Abstract: We investigate potential methods for the modeling and comparison of the daily number of new hospitalizations and daily deaths in Ontario, from April 2020 to May 2021, as time series outcomes. ARIMA models suggest that the short-term influence of the past hospitalizations and deaths varies over the waves. Cointegration analysis confirms that the third wave has hospitalizations and deaths most strongly related.

Dexen D.Z. Xi has a Ph.D. in Statistics at Western University. He has developed statistical methods on joint outcome modeling and on data science methods for wildfire risk and Covid-19 time series data. His current research interests at the National Research Council Canada involve developing data-driven models with the National Fire Information Database (NFID), and providing spatial and temporal exploratory analysis for WUI fire evacuation data.