涩里番

FALL 2025

David Buckeridge (涩里番)

1. Understand the role of the Covid-19 Immunity Task Force (CITF) and the CITF Databank in the context of the response to the COVID-19 pandemic;

2. Be aware of epidemiological research using serology, including the types of data involved, and how they can be used for research;

3. Be aware of the role of data sharing in science and the potential to improve this process through research.

A 50-Minute Walk Down the Road of a 25-Year
Longitudinal Study: The NDIT Study

1. Understand the design and scope of the NDIT study: Participants will be able to describe the structure, duration, and methodology of the 25-year longitudinal NDIT study, including data collection methods and key participant demographics;

2. Identify several key findings related to nicotine dependence and other adolescent health behaviours: Attendees will gain insight into major outcomes of the study, including determinants and trajectories of cigarette smoking, nicotine dependence, and associated behaviours such as vaping, cannabis use, and physical activity;

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1. Understand heterogeneous treatment effects in randomized controlled trials and their clinical implications;

2. Develop familiarity with modern statistical methods to identify differential treatment responses across patient subgroups in clinical trials including the estimation of individualized treatment effects;

1. The structure of the epidemic model used to study vaccine allocation across population groups;

2. How to translate transmission dynamics into tractable decision rules for vaccine prioritization;

3. Empirical performance of simple allocation rules when calibrated to real epidemic data.

1. Describe the geographic, social, and economic disparities influencing cardiovascular disease risk and outcomes in Colombia鈥檚 Pacific Coast region;

2. Analyze the role of community and organizational approaches in addressing cardiovascular disease prevention in Colombia鈥檚 Pacific Coast region;

3. Identify strategies and challenges in implementing public health interventions for cardiovascular disease prevention in local contexts and analyze their implications for policy development and public health practice.

1. Describe the challenges presented by Real-World data obtained from the home environment;

2. Discuss our analysis Methods: Missingness, MICE & the Fitting of Trajectory Models;

3. Discuss the evaluation of the performance of this analysis and the interpretation of our results;

4. Highlight the challenges of publishing in clinical journals.

WINTER 2026

1. Explain the historical lack of inclusivity in clinical trials, the current landscape, and why inclusivity is critical;

2. Describe how an RCT can incorporate co-design in partnership with migrant parents;

3. Identify strategies to design and implement inclusive trials and more broadly in research.

Jan 19
JOINT CORE/EBOH-In-Person at CORE
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1. Describe limitations of existing statistical methods for heterogeneous treatment effect detection;

2. Interpret differential variance parameters;

3. Translate treatment effect homogeneity test results to clinical contexts.

Jean Nikiema (U of Montreal)

1. Present the limitations of RWD for AI: data quality, bias, and recognize what 鈥渞ealistic expectations鈥� look like in clinical settings;

2. Present the evaluation of a responsible AI system that identifies and convert patterns in EHR data into clinically useful information for decision support and cost analysis;

3. Understand the operationalized responsible, and scalable analytics by combining data-driven pathway discovery with knowledge-based standardization while keeping human-in-the-loop for algorithm validation.

Feb 2
In-Person

Pan-American Data Initiative for the Analysis of
Population Racial/Ethnic Health Inequities:
The Pan-DIASPORA Project

1. Identify similarities and differences between the use of race and ethnicity concepts in the context of Latin America and the Caribbean;

2. Understand the potential use of population-based race/ethnicity data in the context of major health outcomes in the region;

3. Identify key determinants of race and ethnicity inequities in Latin America and the Caribbean according to the current evidence in the region.

1. Describe key system pressures (population ageing and social vulnerability) driving the need for equity-promoting integrated care;

2. Apply various theoretical approaches to examining health systems challenges to achieving EPIC;

3. Identifying actionable strategies for supporting and advancing EPIC models of care.

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