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WINTER 2024

1. Understand the definition of Universal Health Coverage;

2. Identify core principles of financing health care;

3. Consider challenges and opportunities for financing of Universal Health Coverage.

1. Have a better understanding of the super learning framework;

2. Become acquainted with dynamic prediction;

1. Define health technology assessment (HTA);

2. Describe a hospital-based HTA unit’s role in healthcare decision-making;

3. Describe the role of cost data in decision-making at the hospital level.

1. Become acquainted with methods for representing developmental trajectories in cardiometabolic health;

2. Have a better understanding of potential factors associated with the development of pediatric obesity and type 2 diabetes;

3. Learn about new methods for strengthening evidence in observational studies.

1. Have an overview of the life course approach in chronic disease epidemiology;

2. Become familiar with a set of modelling approaches to investigate life course hypotheses;

3. Understand the shortcomings and challenges in investigating the effects of protracted exposures across an individual's life course.

1. Define what is a transmission dynamic model;

2. Review their applications in infectious disease epidemiology;

3. Understand their strengths and limitations.

1. Understand the epidemiological trends of syphilis in Canada;

2. Appreciate the utility of point-of-care testing to mitigate the transmission of infectious syphilis;

3. Recognize the critical role of public health partnerships and community-based engagement in implementation science research.

1. Understand the pros and cons of different types of wearable devices for research and personal health monitoring;

2. Apply knowledge of exposure assessment to global positioning system data;

3. Analyze challenges for epidemiologic research when commercial wearable devices are used.

FALL 2023

1.ÌýDiscuss the relevance of cost assessments to different areas of health research and their importance in overall decision-making;

2.ÌýUnderstand the different approaches to estimating costs of health interventions and how and when to apply them;

3.ÌýDescribe the differences in costs of caring for different forms of tuberculosis and how they can be used to support decision-making.

What the latest evidence on supervised consumption sites tells us

1. Have a better understanding of econometric methods they can use to evaluate public health interventions;

2. Become acquainted with underused data sources;Ìý

3.ÌýUnderstand the ethical challenges of evaluating politicized interventions.

1. Review how characteristics of cities can impact the public’s health and health disparities;

2. Understand the estimation of excess mortality during disasters (including pandemics);

Trends in Vulnerable Road Users Injuries in
Major Canadian Cities

1.ÌýUnderstand the advantage of conducting an Interrupted Time Series using the simulation approach;

2.ÌýUnderstand the impact of the COVID-19 pandemic on on vulnerable road users using several data sources and utilizing data beyond the first year of the pandemic;

3.ÌýDiscuss how the lack of high-quality data with temporal granularity for motor vehicles, pedestrian and bicycle, volume, motor vehicle speed limit current studies.

1.ÌýUnderstand delirium as a major clinical problem in the intensive care unit;

2.ÌýLearn how recurrent deep learning can be utilized to predict impending delirium in the intensive care unit;

3.ÌýAppreciate the challenges surrounding feature engineering and hyperparameter tuning when granular electronic health record data are used.

1.ÌýUnderstanding suicide from the life-course perspective;

2.ÌýLearning about the contribution of perinatal risk factors to suicide-related outcomes;

3.ÌýDiscussing the evidence supporting causality in this association.

1.ÌýDescribe and define several key concepts of decision analysis;

2.ÌýCite and understand examples of its application to clinical and public health decision making;

3.ÌýIdentify major advantages and limitations of this methodology.