Informing Disease Control and Elimination Using Transmission Dynamics Models – An Introduction

JOINT EBOH/CORE SEMINAR SERIES

Mathieu Maheu-Giroux, ScD

Associate Professor
Dept of Epidemiology, Biostatistics and Occupational Health | McGill University

WHEN: Monday, February 26, 2024 from 4 to 5 pm

WHERE: Hybrid | 2001 McGill College, Rm 1140 | Zoom

Note: M. Maheu-Giroux will be presenting in-person from 2001 McGill College, Rm 1140

Abstract

Transmission dynamics models provides a framework –integrating epidemiology, mathematics, and public health– to understand and inform the control of infectious pathogens. This type of mathematical models enables researchers to investigate the intricate interplay of epidemiological factors, population dynamics, and intervention strategies. In this talk, I will briefly review the fundamentals principles of transmission dynamics models and highlight key concepts. Then, I will discuss real-world applications of models –from SARS-CoV-2 to HIV– that have been used to inform public health. Attendees will gain a comprehensive understanding of how these models enhance our ability to forecast disease trajectories, assess the impact of interventions, and ultimately contribute to effective disease control and elimination strategies.

Learning Objectives

By the end of this session, attendees will be able to:

• Define what is a transmission dynamic model;
• Understand their applications in infectious disease epidemiology;
• Grasp their strengths and limitations.

Speaker Bio

Mathieu Maheu-Giroux is an Associate Professor in the Department of Epidemiology and Biostatistics at McGill University where he holds a Tier II Canada Research Chair in Population Health Modeling. Prior to joining McGill, he received his doctorate in Population Health from the Harvard TH Chan Scholl of Public Health and completed a postdoctoral fellowship in mathematical epidemiology at Imperial College London.