NOTICE: This website is no longer updated and the resources on this site are outdated.
If you have questions about previously published Ontario COVID-19 Science Advisory Table resources, please email communications@oahpp.ca.
OUr Partners.
Informing Ontario’s response to COVID-19
CanCOVID
CanCOVID is an active network of researchers, academics, patient partners, decision makers, and industry partners dedicated to an evidence-informed response to the COVID-19 pandemic. CanCOVID’s purpose is to support the scientific effort and community in their work through encouraging multidisciplinary collaborations and helping to connect people and resources to enable rapid knowledge mobilization and science-to-policy action. They are also committed to helping to provide their government partners with a better line of sight to existing and emerging COVID-19 science and research.
Read more on the CanCOVID website.

Evidence Synthesis Network
The Evidence Synthesis Network (ESN) is a collaborative COVID-19 response initiative by Ontario’s research and knowledge production community. We aim to enhance collective impact, reduce duplication, standardize products, and foster collaboration in order to streamline the processing of getting evidence on COVID-19 issues and questions to the people who need it.
The ESN is comprised of prominent organizations in Ontario’s evidence synthesis and knowledge translation community. We collectively provide high-quality, relevant, and timely synthesized research evidence about COVID-19 to inform decision makers as the pandemic continues.
The Network accepts questions on COVID-19 from decision-makers in government, agencies, and the broader health system who require scientific evidence, jurisdictional scans, and promising innovation scans.
The ESN is co-chaired by Anne Hayes, Director of the Research, Analysis and Evaluation Branch of the Ministry of Health, and Rob Reid, Chief Scientist of the Institute for Better Health and Senior Vice President, Science, Trillium Health Partners.

Modelling Consensus Table
The Ontario COVID-19 Modelling Consensus Table is a group of scholars and professionals who are using advanced modelling methodologies to generate estimates around incidence, prevalence, and the spread of COVID-19 in Ontario and its impact on health and the health system.
The Modelling Consensus Table’s objectives are to:
- Offer best possible guidance to decision-makers and health system leaders about the dynamic and evolving state of the COVID-19 pandemic in Ontario including;
- Leverage the latest knowledge and advances in techniques and data sources;
- Rapidly fulfill related data needs from data partners across the health system;
- Rapidly respond to a prioritized list of research questions that can support the current fight against COVID-19 in Ontario;
- Leverage the collective analytic expertise of the Ministry of Health, Ontario Health, and Public Health Ontario, along with scholars and experts working on COVID-19 models.
The Modelling Consensus Table works with the support of the Ontario Ministry of Health, Ontario Health, and Public Health Ontario.
Leadership
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David Earn
CASM, MSc, PhD
Chair Professor of Mathematics, Department of Mathematics and Statistics, McMaster University
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John McLaughlin
PhD
Executive Director Professor of epidemiology at the University of Toronto’s Dalla Lana School of Public Health Executive Director of the Canadian Partnership for Tomorrow’s Health
Members
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Isaac Bogoch
MD, SM
Associate Professor, Department of Medicine, University of Toronto; Diseases consultant, Divisions of General Internal Medicine and Infectious Diseases, Toronto General Hospital
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Kevin Antoine Brown
MS, PhD
Scientist, Infection Prevention and Control, Public Health Ontario Assistant Professor, Dalla Lana School of Public Health, University of Toronto Adjunct Scientist, ICES
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Sarah Buchan
PhD, MSc
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Scientist, Public Health Ontario; Adjunct Scientist, ICES
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Lauren E. Cipriano
PhD
Associate Professor, Management Science, Ivey Business School; Associate Professor, Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University
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Troy Day
PhD
Department of Mathematics and Statistics, Queen’s University
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Michael Hillmer
PhD
Assistant Deputy Minister, Capacity Planning and Analytics Division, Ministries of Health and Long-Term Care Assistant Professor, Institute for Health Policy, Management, and Evaluation, University of Toronto
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Peter Jüni
MD, FESC
Professor of Medicine and Epidemiology, Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto Director, Applied Health Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital
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Jeff Kwong
MD, MSc, CCFP, FRCPC
Senior Core Scientist, ICES; Scientist, Public Health Ontario; Family Physician, Toronto Western Family Health Team; Associate Scientist, Sunnybrook Research Institute; Associate Professor, Dalla Lana School of Public Health, University of Toronto
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Kamil Malikov
MD, MSc, MBA, CPA, CMA
Senior Manager, Health Analytics Branch, Health System Information Management and Investment, Ontario Ministry of Health and Long-Term Care Toronto; Ontario Ministry of Health
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Sharmistha Mishra
MD, MSc, PhD
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Scientist, St. Michael’s Hospital
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Alyssa Parpia
PhD, MPH
Applied Public Health Science Specialist in Communicable Diseases, Public Health Ontario; Affiliate, Center for Infectious Disease Modeling and Analysis, Yale School of Public Health
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Justin Presseau
PhD
Associate Professor, School of Epidemiology and Public Health, University of Ottawa Scientist, Ottawa Hospital Research Institute
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Paula Rochon
MD, MPH, FRCPC
Senior Scientist and Geriatrician Women’s College Hospital; Professor, Division of Geriatric Medicine, Faculty of Medicine and Dalla Lana School of Public Health, University of Toronto; RTOERO Chair in Geriatric Medicine, University of Toronto.
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Laura Rosella
PhD, MHSc
Associate Professor, Dalla Lana School of Public Health, University of Toronto Adjunct Scientist ICES and Site Director, ICES Member, Banting and Best Diabetes Centre (Vulnerable Populations/Population Health) Affiliate Scientist, Institute for Better Health (Trillium Health Partners) Faculty Affiliate, Vector Institute for Artificial Intelligence
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Beate Sander
RN, MBA, MEcDec, PhD
Canada Research Chair in Economics of Infectious Diseases; Scientist & Director, Population Health Economics Research (PHER), University Health Network; Director, Health Modeling & Health Economics, Toronto Health Economics and Technology Assessment (THETA) collaborative; Associate Professor & Faculty Co-Lead Health Technology Assessment program, Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto; Adjunct Scientist, Public Health Ontario; Adjunct Scientist, ICES
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Brian Schwartz
MD, MScCH
Vice-President, Public Health Ontario; Professor, Department of Family and Community Medicine and Dalla Lana School of Public Health, University of Toronto
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Ashleigh Tuite
PhD, MPH, MSc
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Department of Population Medicine (Greer), University of Guelph
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Xiaolin Wei
MD, MPH, PhD
Secretary-General, International Union Against TB and Lung Disease; Associate Professor, Dalla Lana School of Public Health, University of Toronto
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Jianhong Wu
PhD
Distinguished Research Professor, Department of Mathematics and Statistics, York University; Fields Institute for Research in Mathematical Sciences; Centre for Disease Modelling, York University
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Emre Yurga
M.Arch, M.P.P, PhD
Manager of the Economic Analysis and Evaluation Unit, Ontario Ministries of Health and Long-Term Care
Observers
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Sarah Nayani
PhD
Project Manager Project Manager, Fields Mathematical Modelling of COVID-19 Task Force
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Samantha Akingbola
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Irena Papst
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Andrew Blackburn
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Ali Merali
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David Naimark
MD, MSc, FRCPC
Associate Professor of Medicine, Faculty of Medicine, and Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto