Mathematical modelling is a research method that can inform public health planning and infectious disease control. Through complex simulations of real-world possibilities, mathematical modelling provides a cost-effective and efficient method to assess optimal public health interventions.
COVID-19 Models from the Public Health Agency of Canada
The Public Health Agency of Canada (PHAC) has shared information with Canadians from their COVID-19 modelling work. The results from the data indicate that it is critical and essential to physically distance, detect and isolate cases of COVID-19, identify and quarantine close contacts, and prevent international infection from entering the country.
Looking for the PHAC Modelling Group?
NCCID supports an expanding area of knowledge translation and exchange related to mathematical modelling for public health.
This has included bringing modellers, public health practitioners, and decision-makers together to respond to public health priorities such as influenza, sexually transmitted infections, tuberculosis and now, COVID-19. We build awareness for the value of modelling research for infectious disease public health to introduce more public health professionals to modelling research. By making modelling terms and research more accessible, we bridge knowledge silos. Using case studies, we demonstrate how public health and modeller partnerships bring valuable and different roles and knowledge.
New work will help foster more modelling research and community partnerships to address research questions to reduce the inequitable burden of infectious diseases, particularly for rural and remote regions and communities.
mod4PH
One of the ways we support knowledge exchange is through mod4PH, a discussion forum and virtual meeting place for public health and mathematical modellers. Members promote the use of modelling research in public health decision-making for infectious disease prevention and control. Learn more about mod4PH and join the group on LinkedIn.
What’s New
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.
mpox: Perspectives from the US
This webinar will cover the approaches to infection prevention and control of mpox as well as the clinical evaluation and management of mpox infections in the United States.
Advantages and Disadvantages of Modelling with an Equity Lens
This fact sheet summarizes some key opportunities and challenges of using disaggregated data to model infectious disease with an equity lens.
Infectious Disease Modelling with an Equity Lens
This fact sheet describes infectious disease modelling with an equity lens. It provides a definition, offers examples of disaggregation, and highlights the characteristics of infectious diseases transmission that can be influenced by population dynamics.
Waves of Endemicity: Mathematical Models of Disease Persistence in Populations
This webinar examines how mathematical models have improved our understanding of disease persistence in populations and explores how models of endemicity may be applied to evolving COVID-19.
Big Data Basics Infographic
This infographic overviews big data in Public health. It explains basic big data concepts, types of datasets and how public health uses this technology.
Journal Papers
Toward standardizing a lexicon of infectious disease modelling terms
Modelling COVID-19 Outbreaks
An international team of experts, led by Dr. Seyed Moghadas at York University in Canada, received a grant from the Canadian Institutes for Health Research for a data-driven modelling approach to describe COVID-19 outbreaks and assess the effectiveness of responses for populations in Canada, the US and India. NCCID is pleased to be a partner in this initiative and lead the knowledge translation and exchange aspects of this grant.
Key research outputs include the degree of surge capacity necessary to maintain safe and effective delivery of healthcare systems, estimates of clinical attack rates and likely inpatient flow, effectiveness and cost-effectiveness of intervention strategies and the expected reduction of disease outcomes, and the effect of social policies on reducing community transmission.
Collectively, the investigators bring expertise in disease dynamics, modelling and simulations, data analysis and statistical inference, public health and vaccination, knowledge translation, and infectious disease epidemiology.
The team of Investigators include:
Seyed Moghadas (PI)
York University
Margaret Haworth Brockman (PI)
NCCID and University of Manitoba
Alison Galvani (@Alison_Galvani)
Yale University
David Champredon (@DChampredon)
Western University
Joanne Langley (@jmllhfx)
Dalhousie University
Sandip Banerjee
Indian Institute of Technology, Roorkee
Sandip Mandal
Indian Council of Medical Research
Dr. Yoav Keynan
NCCID and University of Manitoba
Events
PLAINS SPEAK on STBBIs, 2019: An emergent challenge for the Prairies
Winnipeg, MB March 14th and 15th, 2019 Sexually transmitted and blood borne infection (STBBI) rates—including syphilis, gonorrhea, HBV, HCV, and…
Multi‐sectoral Stakeholder Meeting on AMR/AMU Surveillance
On January 22nd and 23rd, 2019, the National Collaborating Centre for Infectious Diseases (NCCID) and the Public Health Agency of…
The Two Faces of Syphilis: A Call for Sustained, National and Coordinated Responses to Syphilis
Montréal, 22–23 November 2016 Date: November 22-23, 2017Montréal, Canada Description Syphilis has re-emerged in Canada during the last decade with…
Canadian Roundtable on Antimicrobial Stewardship
Toronto: June 16-17, 2016 Co-hosts: NCCID and HealthCareCAN Facilitator: Dorothy Strachan, Strachan-Tomlinson Summary: Over 50 “Champions of Change”—experts, key influencers and…
Forward Thinking on Syphilis: An Information Exchange on Innovative Approaches to Syphilis, Focused on MSM
In support of renewed public health efforts to control the recent outbreaks of syphilis in Canadian cities, NCCID brought together public health practitioners from several health regions, community-based organizations, and researchers September 29-30, 2014 in Winnipeg Manitoba
Use of Mathematical Modelling in Public Health Decision Making for Infectious Diseases
On October 6-7, 2014 in Winnipeg, Manitoba, Pan-InfORM and NCCID co-hosted the fourth bi-annual Pan-InfORM meeting. The meeting objectives were to bring more clarity to (i) areas where modelling results are unclear; (ii) how modelling can best be used in informing policy and improving practice; and (iii) the value of sustaining and enhancing the application of modelling in public health.
Past Events
Pan-InfORM – NCCID Workshop (2018)