Epidemiology

Seminars - Fall 2023/Winter 2024

The Seminars in Epidemiology organized by the Department of Epidemiology, Biostatistics and Occupational Health at the McGill School of Population and Global Health is a self-approved Group Learning Activity (Section 1) as defined by the maintenance of certification program of the Royal College of Physicians and Surgeons of Canada.
Physicians requiring accreditation, please complete the Evaluation Form and send to admincoord.eboh [at] mcgill.ca

PLEASE NOTE: The Fall 2023/Winter 2024 Seminar Series will be held in hybrid format (in-person/Zoom) on Mondays from 4:00 to 5:00 PM, at the SPGH, 2001 McGill College, Room 1140. Please refer to announcement titles below for details.

 

Date Speaker Title OBJECTIVES RECORDING

WINTER 2024

Jan 15, 2024 In-Person (Click on title) - JOINT EBOH/CORE Timothy Evans (McGill) Global Perspectives on Financing Universal Health Coverage

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.

Recording
Jan 22, 2024 In-Person Arthur Chatton (UofM) Personalized dynamic prediction in dialysis using a novel
super learning framework

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

2. Become acquainted with dynamic prediction;

3. Understand the challenges of validating personalized prediction models.
Recording
Jan 29, 2024 In-Person (Click on title) - JOINT EBOH/CORE Nisha Almeida (McGill) From Data to Decisions: The role of Health Technology Assessment in Innovative Healthcare

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.

Recording
Feb 5, 2024 - Virtual Soren Harnois-Leblanc (Harvard) Leveraging data for obesity and type 2 diabetes prevention in children: new insights from pediatric cohorts

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.

Recording
Feb 19, 2024 In-Person Sreenath Madathil (McGill) A Bayesian Approach to Investigate Life Course Hypotheses

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.

Recording
Feb 26, 2024 In-Person (Click on title) - JOINT EBOH/CORE Mathieu Maheu-Giroux (McGill) Informing disease control and elimination using transmission dynamics models – An introduction

1. Define what is a transmission dynamic model;

2. Review their applications in infectious disease epidemiology;

3. Understand their strengths and limitations.

N/A
Mar 4, 2024 NO SEMINAR - READING WEEK  
Mar 18, 2024 In-Person Sahar Saeed (Queens) Breaking Barriers: Expanding Syphilis Point-of-Care Testing and Immediate Treatment to Meet the Needs of Underserved Communities

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.

Recording
Mar 25, 2024 In-Person Daniel Fuller (U of Sask) Wearable Devices for Epidemiologic Research: Current Trends, Methods, and Future Directions

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.

Recording

FALL 2023

Sept 25, 2023
In-Person (Click on title) - JOINT CORE/EBOH
Jonathon Campbell (McGill) Including Cost Assessment in (Clinical) Research: Methods and Applications in Tuberculosis

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

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

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

Recording
Oct 2, 2023
In-Person
Dimitra Panagiotoglou  (McGill)

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; 

3. Understand the ethical challenges of evaluating politicized interventions.

 
Oct. 9, 2023 NO SEMINAR - THANKSGIVING HOLIDAY  
Oct 23, 2023
Virtual
Usama Bilal (Drexel) The disparate impact of the COVID-19 pandemic across cities of the Americas

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);

3. Discuss potential interventions to reduce health disparities in cities.
 
Oct 30, 2023
In-Person
Brice Batomen (U of Toronto)

Trends in Vulnerable Road Users Injuries in
Major Canadian Cities

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

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

 
Nov 6, 2023
Virtual
Joon Lee (U of Calgary) Deep learning-based recurrent prediction of
delirium in the intensive care unit

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

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

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

 
Nov 20, 2023
In-Person
Massimiliano Orri (Douglas)  Early-life risk factors for suicidal behavior: a life-course perspective

1. Understanding suicide from the life-course perspective;

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

3. Discussing the evidence supporting causality in this association.

 
Nov 27, 2023
In-Person (Click on title) -
JOINT CORE/EBOH
Kevin Schwartzman (McGill) Decisions, Decisions…

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

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

3. Identify major advantages and limitations of this methodology.

Recording

 

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