This document provides an overview of how to critically assess a research article which uses quantitative, data-driven mathematical modelling to examine infectious disease transmission. Included is a Quick Reference Guide which aligns with the process of quantitative model development and the format of research articles and is meant to assist in a critical review of the research.
Stream: Mathematical Modelling & Big Data
Guidelines for the Economic Evaluation of Vaccination Programs in Canada
This webinar will provide an overview of the new Guidelines for the Economic Evaluation of Vaccination Programs in Canada produced by the National Advisory Committee on Immunizations (NACI).
mod4PH Research Highlights Podcast: NACI Guidelines for economic evaluation of vaccination programs in Canada
This episode will provide an overview of the National Advisory Committee on Immunization (NACI) health economics guidelines for the evaluation of vaccination programs in Canada, and how they can be used to inform best practices and promote standardized and high-quality evidence for public health decision making.
mod4PH Research Highlights Podcast: The Past, Present, and Future of Infectious Disease Modelling for Public Health
In this episode, Dr. Michael Li spoke with us about the past, present, and future of infectious disease modelling, the different roles and responsibilities of a math modeller, and how he envisions math modelling for public health in the future.
Insights for Public Health’s Use of Mobility Data
This case study highlights one team’s experience of using mobile device data to help inform a public health response. Their story provides public health decision-makers, managers, epidemiologists, policy analysts and others with insights and lessons that can help prepare them for working with big data.
mod4PH Research Highlights Podcast: Successes and challenges in antibacterial modelling for public health
Dr. Gwen Knight speaks with us about her research in modelling antibiotic resistance and the implications of this work for public health.
Comprehensive Glossary for Infectious Disease Modelling
This glossary presents a comprehensive list of terms and their definitions to unify the use and interpretation of infectious disease epidemiology and modelling terminology.
mod4PH Research Highlights Podcast: Being a math modelling researcher during the COVID-19 pandemic
In this mod4PH episode, we speak to Dr. Rachael Milwid about her experiences and considerations as a math modelling researcher during the COVID-19 pandemic.
mod4PH Research Highlights Podcast: Maximizing the impact of limited vaccine supply under different early mpox epidemic conditions
In the first episode, Jesse Knight speaks to NCCID’s Wendy Xie about his recent work on maximizing the impact of limited vaccine supply under different early mpox epidemic conditions using mathematical modelling.
Maximizing the impact of limited vaccine supply under different early epidemic conditions: a 2-city modelling analysis of monkeypox transmission among men who have sex with men
This study sought to explore how different epidemic conditions could affect optimal allocation of a limited supply of mpox vaccines across 2 partially connected GBMSM networks.
The COVID-19 Public Health Agency of Canada (PHAC) Modelling Group
COVID-19 has spread across the world, and the associated morbidity and mortality, spawning extensive international research to inform both clinical and public health evidence-based actions to mitigate its effects. The Public Health Agency of Canada, as part of its mandate, is monitoring, preparing and responding to the COVID-19 outbreak to ensure minimal impacts to the…
PHAC Agent-Based Models on COVID-19
Agent-based models (ABMs) can systematically simulate actions and interactions of independent “agents” that can represent people, places and/or objects within a predefined environment. These models aim to evaluate the success of public health interventions depending upon community structure and population dynamics.