|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. 
“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. 
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.” 
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|Link NSERC Funding Decisions: Emerging Infectious Diseases Modelling Initiative|
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. 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. 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. 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. 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. 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. 1002079B9B9URL: