Congratulations to Jeremy VanderDoes on his recent publication in .Ìý
°Õ³ó±ðÌý titled "Impact of the COVID-19 Pandemic on health services utilization and mortality in Ontario, Canada: an interrupted time series analysis" is an interdisciplinary collaboration with Kiran Saqib, Vivek Goel, and Zahid A. Butt from the School of Public Health Sciences, as well as Joel A. Dubin from the Department of Statistics and Actuarial Science.
This study explores the fluctuating healthcare utilization patterns for chronic diseases and mental health during various phases of the COVID-19 pandemic in Ontario. Jeremy employed an interrupted time series design with segmented regression models to evaluate the monthly impact of COVID-19 on overall morbidity and mortality within the Ontario population. Additionally, a stratified analysis was conducted to examine changes in monthly visits related to specific chronic conditions included in the study. The findings revealed disruptions in healthcare utilization, such as reduced in-person visits and delayed treatments. These results underscore the necessity for healthcare systems to be better prepared for future pandemics, particularly to support vulnerable populations.
Research on the COVID-19 pandemic is extensive, and many individuals personally witnessed the surge in healthcare utilization during this period. However, I was still astonished by the distinct patterns that emerged from the data analysis. The insights gained through statistical analysis can be truly enlightening.
Jeremy VanderDoes
Jeremy VanderDoes is a fourth-year Ph.D. student at the Department of Statistics and Actuarial Science and is currently one of the graduate consultants at SCSRU. Jeremy’s primary research includes change point analysis, time series and functional data.