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| EIDM Map1 #679703 The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1] | [[ 
]] Introduction“Emerging infectious diseases (EIDs) are a key public health threat, which we are currently experiencing with COVID-19. EIDs are, for the most part, infectious diseases of animals that have, or evolve, the capacity to infect humans (these are called zoonoses), and can sometimes be transmitted human-to-human without need for animals to be involved in transmission. Zoonoses that acquire the capacity for efficient human-to-human transmission are those most likely to spread in the human population and cause pandemics such as COVID-19. The interaction of animals, the environment and humans in the emergence and spread of EIDs means that understanding EIDs to support risk assessment, prevention and control requires a One Health approach, i.e. one that considers the interactions amongst animals, humans and the environment. [2]
In the context of public health, modelling can recreate the essential components of pathogen transmission cycles from our understanding of the biology of the pathogens and their interactions with their hosts. Models can help public health leaders and organizations understand where and when infectious diseases may emerge or re-emerge, and they can be used to explore the best methods or combinations of methods to control disease outbreaks or epidemics and protect the health of Canadians.
In responding to the COVID-19 epidemic, mathematical modelling has proven to be an essential tool for researchers and policy advisors to simulate the impact of various interventions or public health strategies, and to provide quantitative predictions of how interventions might affect population health in the future. A wide range of actors in Canada (including: federal, provincial, territorial (FPT) and municipal governments, local public health units and organizations, research organizations and universities, and others) are developing models to help inform and guide responses to public health threats such as COVID-19. The COVID-19 epidemic has reinforced the crucial role of modelling and has underscored a need for greater and ongoing capacity to implement and validate a full range of modelling tools required to support decision-making on public health measures and to support the response to epidemics and outbreaks.
At the federal level, since the outset of the COVID-19 pandemic, the Public Health Agency of Canada (PHAC) has identified several opportunities related to improving the capacity and coordination of infectious disease data modelling, a core component of disease surveillance. Through the experience of the COVID-19 pandemic, it has become clear that Canada would benefit from - additional skilled modelling experts,
- improved coordination of experts and stakeholders to support the identification of priority issues and strategic directions,
- improved mobilization and collaboration among experts to accelerate research and advance potential solutions.
Addressing these gaps will improve Canada’s preparedness in the face of public health emergencies, such as pandemics.
The PHAC and the Natural Sciences and Engineering Research Council (NSERC) are working together to strengthen collaborative efforts among the academic community and all relevant stakeholders to conduct and coordinate infectious diseases modelling to better respond to COVID-19 and other similar situations.” [2] Graph links: http://eidm-mmie.net or debategraph.org/eidm | | Edit details | | Page view | Show >>Citations3Comments1HistoryInfo<< Hide |
CitationsAdd new citationList by: CiterankMap Link[1] NSERC Funding Decisions: Emerging Infectious Diseases Modelling Initiative
Author: NSERC
Cited by: David Price 11:18 AM 7 June 2021 GMT
Citerank: (9) 679712CANMOD – PeopleCANMOD is a national network, with members located across the country and associated with a broader Emerging Infectious Disease Modelling (EIDM) initiative. We are a community of modellers, statisticians, epidemiologists, public health decision-makers, and those implementing and delivering interventions.10019D3ABAB, 679714OMNI – PeopleOur English and French acronyms of the network, One Health Modelling Network for Emerging Infections (OMNI)/RÉseau UNe seule santé sur la modélisation des InfectionS (RÉUNIS) symbolize universality and the bringing together of people and ideas. This is precisely what we have done, having amassed an amazing network of interdisciplinary people with a commitment to a One Health approach to stopping emerging infectious diseases (EIDs) at all levels.10019D3ABAB, 679715OSN – PeopleThe One Society Network (OSN), led by Dr. Christopher McCabe at the University of Alberta, will include developing modelling for evaluating alternative policy responses during pandemics for all sectors of the economy and aspects of society, including marginalised groups. They will also be collaborating on multi-disciplinary training programs for skills development to support public policy making in future pandemics. [1]10019D3ABAB, 679716SMMEID – PeopleStatistical Methods for Managing Emerging Infectious Diseases (SMMEID), led by Dr. Patrick Brown at the University of Toronto, will develop methods and tools to get an accurate picture of the nature and extent of infectious disease transmission in the population, relying on real-world data from administrative sources and surveys. They are seeking to augment Canada's capacity to respond to emerging infectious diseases. [1]10019D3ABAB, 701002OMNIThe One Health Modelling Network for Emerging Infections (OMNI), led by Dr. Huaiping Zhu at York University, will identify gaps that can be used to prioritize more targeted surveillance or data collection and then use those data to refine models. This work will contribute to an improved understanding of the conditions that enable pathogen spread and transmission and identify actions that can most effectively manage these conditions. [1]1002079B9B9, 701005CANMOD?CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses1002079B9B9, 701006MfPHMathematics for Public Health (MfPH), led by Dr. V. Kumar Murty, Director of the Fields Institute and Professor at the University of Toronto, will aim to bridge the gap between mathematical research and real public health issues. The team will seek to produce models that are effective, practical and reliable for applications to public health issues for COVID-19 as well as boost Canada’s future pandemic preparedness. [1]1002079B9B9, 701007OSNThe One Society Network (OSN), led by Dr. Christopher McCabe at the University of Alberta, will include developing modelling for evaluating alternative policy responses during pandemics for all sectors of the economy and aspects of society, including marginalised groups. They will also be collaborating on multi-disciplinary training programs for skills development to support public policy making in future pandemics. [1]1002079B9B9, 701008SMMEIDThis project assembles the top biostatisticians in Canada working on infectious diseases, and joins them with epidemiologists developing novel methods for data collection during the COVID-19 pandemic. Our group is developing methods and tools to get an accurate picture of the nature and extent of infectious disease transmission in the population, relying on real-world data from administrative sources and surveys. [2]1002079B9B9 URL:
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Link[3] Charting a future for emerging infectious disease modelling in Canada
Author: Mark A. Lewis, Patrick Brown, Caroline Colijn, Laura Cowen, Christopher Cotton, Troy Day, Rob Deardon, David Earn, Deirdre Haskell, Jane Heffernan, Patrick Leighton, Kumar Murty, Sarah Otto, Ellen Rafferty, Carolyn Hughes Tuohy, Jianhong Wu, Huaiping Zhu
Publication date: 26 April 2023
Cited by: David Price 10:57 PM 2 November 2023 GMT
Citerank: (22) 679761Caroline ColijnDr. Caroline Colijn works at the interface of mathematics, evolution, infection and public health, and leads the MAGPIE research group. She joined SFU's Mathematics Department in 2018 as a Canada 150 Research Chair in Mathematics for Infection, Evolution and Public Health. She has broad interests in applications of mathematics to questions in evolution and public health, and was a founding member of Imperial College London's Centre for the Mathematics of Precision Healthcare.10019D3ABAB, 679769Christopher CottonChristopher Cotton is a Professor of Economics at Queen’s University where he holds the Jarislowsky-Deutsch Chair in Economic & Financial Policy.10019D3ABAB, 679776David EarnProfessor of Mathematics and Faculty of Science Research Chair in Mathematical Epidemiology at McMaster University.10019D3ABAB, 679797Huaiping ZhuProfessor of mathematics at the Department of Mathematics and Statistics at York University, a York Research Chair (YRC Tier I) in Applied Mathematics, the Director of the Laboratory of Mathematical Parallel Systems at the York University (LAMPS), the Director of the Canadian Centre for Diseases Modelling (CCDM) and the Director of the One Health Modelling Network for Emerging Infections (OMNI-RÉUNIS). 10019D3ABAB, 679806Jane HeffernanJane Heffernan is a professor of infectious disease modelling in the Mathematics & Statistics Department at York University. She is a co-director of the Canadian Centre for Disease Modelling, and she leads national and international networks in mathematical immunology and the modelling of waning and boosting immunity.10019D3ABAB, 679812Jianhong WuProfessor Jianhong Wu is a University Distinguished Research Professor and Senior Canada Research Chair in industrial and applied mathematics at York University. He is also the NSERC Industrial Research Chair in vaccine mathematics, modelling, and manufacturing. 10019D3ABAB, 679826Laura CowenAssociate Professor in the Department of Mathematics and Statistics at the University of Victoria.10019D3ABAB, 679842Mark LewisProfessor Mark Lewis, Kennedy Chair in Mathematical Biology at the University of Victoria and Emeritus Professor at the University of Alberta.10019D3ABAB, 679858Patrick BrownAssociate Professor in the Centre for Global Health Research at St. Michael’s Hospital, and in the Department of Statistical Sciences at the University of Toronto.10019D3ABAB, 679859Patrick LeightonPatrick Leighton is a Professor of Epidemiology and Public Health at the Faculty of Veterinary Medicine, University of Montreal, and an active member of the Epidemiology of Zoonoses and Public Health Research Group (GREZOSP) and the Centre for Public Health Research (CReSP). 10019D3ABAB, 679869Rob DeardonAssociate Professor in the Department of Production Animal Health in the Faculty of Veterinary Medicine and the Department of Mathematics and Statistics in the Faculty of Science at the University of Calgary.10019D3ABAB, 679875Sarah OttoProfessor in Zoology. Theoretical biologist, Canada Research Chair in Theoretical and Experimental Evolution, and Killam Professor at the University of British Columbia.10019D3ABAB, 679890Troy DayTroy Day is a Professor and the Associate Head of the Department of Mathematics and Statistics at Queen’s University. He is an applied mathematician whose research focuses on dynamical systems, optimization, and game theory, applied to models of infectious disease dynamics and evolutionary biology.10019D3ABAB, 679893Kumar MurtyProfessor Kumar Murty is in the Department of Mathematics at the University of Toronto. His research fields are Analytic Number Theory, Algebraic Number Theory, Arithmetic Algebraic Geometry and Information Security. He is the founder of the GANITA lab, co-founder of Prata Technologies and PerfectCloud. His interest in mathematics ranges from the pure study of the subject to its applications in data and information security.10019D3ABAB, 686724Ellen RaffertyDr. Ellen Rafferty has a Master of Public Health and a PhD in epidemiology and health economics from the University of Saskatchewan. Dr. Rafferty’s research focuses on the epidemiologic and economic impact of public health policies, such as estimating the cost-effectiveness of immunization programs. She is interested in the incorporation of economics into immunization decision-making, and to that aim has worked with a variety of provincial and national organizations.10019D3ABAB, 701020CANMOD – PublicationsPublications by CANMOD Members144B5ACA0, 701037MfPH – Publications144B5ACA0, 701071OSN – Publications144B5ACA0, 701222OMNI – Publications144B5ACA0, 704045Covid-19859FDEF6, 714608Charting a FutureCharting a Future for Emerging Infectious Disease Modelling in Canada – April 2023 [1] 2794CAE1, 715387SMMEID – Publications144B5ACA0 URL:
| | Excerpt / Summary We propose an independent institute of emerging infectious disease modellers and policy experts, with an academic core, capable of renewing itself as needed. This institute will combine science and knowledge translation to inform decision-makers at all levels of government and ensure the highest level of preparedness (and readiness) for the next public health emergency. The Public Health Modelling Institute will provide cost-effective, science-based modelling for public policymakers in an easily visualizable, integrated framework, which can respond in an agile manner to changing needs, questions, and data. To be effective, the Institute must link to modelling groups within government, who are best able to pose questions and convey results for use by public policymakers. |
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