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If you have questions about previously published Ontario COVID-19 Science Advisory Table resources, please email email@example.com.
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.
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.
CASM, MSc, PhD
Chair Professor of Mathematics, Department of Mathematics and Statistics, McMaster University
David Earn is a Professor of Mathematics and the Faculty of Science Research Chair in Mathematical Epidemiology at McMaster University. His primary research interests are in infectious disease dynamics, from the time of the Black Death to the present.
He was an undergraduate in mathematics at the University of Toronto, and received his PhD in theoretical astrophysics from the University of Cambridge, where he was a Commonwealth Scholar and held an Isaac Newton Studentship. As a postdoctoral fellow in Cambridge and Princeton, he shifted focus to biological problems, especially the epidemiology of infectious diseases.
He is a recipient of a CIHR New Investigator Award, an Ontario Premierʼs Research Excellence Award, and the Canadian Applied and Industrial Mathematics Society Research Award. He is a member of the executive committee of the M. G. DeGroote Institute for Infectious Disease Research at McMaster, and co-leads the Canadian Network for Modelling Infectious Diseases (CANMOD, https://canmod.net/).
Web site: http://davidearn.mcmaster.ca
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
John McLaughlin is a Professor of epidemiology at the University of Toronto’s Dalla Lana School of Public Health, and Executive Director of the Canadian Partnership for Tomorrow’s Health. He has more than 30 years of experience in leading interdisciplinary health research teams, as well as executive level management, knowledge translation, scholarly work and service. John provides senior leadership across the public health and health research systems, as he advises on strategic opportunities, emerging trends and partnerships to advance population health through applied research. John retired in 2019 as Chief Science Officer and Senior Scientist at Public Health Ontario, and he previously served as Senior Visiting Scientist at the International Agency for Research on Cancer, Vice President and Senior Scientist at Cancer Care Ontario, Founding Director of the Ontario Health Study at the Ontario Institute for Cancer Research, and Head of Epidemiology and Biostatistics at Toronto’s Mount Sinai Hospital. His research programs integrate diverse approaches and disciplines in large-scale studies, aiming to improve disease prevention and health promotion. Trained as an epidemiologist at the University of Toronto (PhD) and Queen’s University (MSc), his sustained research program has resulted in more than 300 publications.
Associate Professor, Department of Medicine, University of Toronto; Diseases consultant, Divisions of General Internal Medicine and Infectious Diseases, Toronto General Hospital
Dr. Isaac Bogoch is an Associate Professor at the University of Toronto in the Department of Medicine, and is an Infectious Diseases consultant and General Internist at the Toronto General Hospital with a focus on tropical diseases, HIV, and general infectious diseases. He completed medical school and Internal Medicine residency training at the University of Toronto, and then specialized in Infectious Diseases at Harvard University. He holds a Masters Degree in Clinical Epidemiology from the Harvard School of Public Health, and has completed fellowships in both Tropical Infectious Diseases and HIV care.
Kevin Antoine Brown
Scientist, Infection Prevention and Control, Public Health Ontario Assistant Professor, Dalla Lana School of Public Health, University of Toronto Adjunct Scientist, ICES
Kevin Brown is an infectious disease epidemiologist and health services researcher at Public Health Ontario and the University of Toronto. He received his PhD in Epidemiology from the University of Toronto and his MSc in Biostatistics from the University of North Carolina. He studies healthcare-associated infections and antimicrobial resistance, with a specialty in Clostridiodes difficile. His research has focused on creating reproducible indexes of antibiotic risk, understanding the role of built environment in infectious disease transmission, and documenting geographic variation in diagnosis of infections, prescribing of antibiotics, and outcomes.
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Scientist, Public Health Ontario; Adjunct Scientist, ICES
Sarah Buchan is a Scientist at Public Health Ontario (PHO) in Health Protection where she conducts applied public health research related to the epidemiology of vaccine-preventable and other infectious diseases. Her interests include studying the burden of respiratory viruses in high-risk populations, assessing vaccine effectiveness, and estimating vaccine coverage. Dr. Buchan is an Assistant Professor at the Dalla Lana School of Public Health and an Adjunct Scientist at ICES. She has been supporting PHO’s COVID-19 Incident Management System since February 2020.
Lauren E. Cipriano
Associate Professor, Management Science, Ivey Business School; Associate Professor, Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University
Lauren Cipriano is an Associate Professor in Management Science at the Ivey Business School and in the Department of Epidemiology and Biostatistics in the Schulich School of Medicine and Dentistry at Western University where she holds the Canada Research Chair in Healthcare Analytics, Management, and Policy.
Her research expertise focuses on the application of statistics, decision analysis, economics, operations research, and systems analysis to health policy problems. She has specific expertise in the economic evaluation of clinical diagnostics and novel therapeutics, resource allocation, and infectious disease policy.
Lauren has provided research and consulting services for the World Health Organization, US Veterans Health Administration, US Centers for Medicare and Medicaid Services, the US Institute for Clinical and Economic Review, and the Canadian Agency for Drugs and Technologies in Heath (CADTH). She sits on the Health Economics Methods Advisory Committee for CADTH and was awarded the Dr. Maurice McGregor Award for Health Technology Assessment in 2018. Lauren is the Deputy Editor of the journals Medical Decision Making and Medical Decision Making Policy & Practice.
Lauren holds a Masters degree in Statistics and a PhD in Management Science and Engineering from Stanford University.
- Google Scholar, ResearchGate
- Affiliated with:
- Ivey Business School, The Toronto Health Economics and Technology Assessment THETA Collaborative
- Declaration(s) of Interest:
- 2021-09-03 (PDF)
Department of Mathematics and Statistics, Queen’s University
Troy 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. He is the author of two calculus textbooks for the life sciences and a textbook on mathematical modeling. He is an elected Fellow of the Royal Society of Canada, an elected Fellow of the American Association for the Advancement of Science, and has been the recipient of the E.W.R. Steacie Prize, an E.W.R. Steacie Fellowship, and a Canada Council Killam Research Fellowship.
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
Michael is responsible for the development and implementation of strategic, coordinated approaches to health workforce and capacity planning ensuring that an optimal supply, mix, and distribution of health professionals. He leads the data and analytics portfolio for the ministries of health and long-term care providing insights to improve planning, programming, and accountability.
He is an Assistant Professor at the University of Toronto’s Institute for Health Policy, Management, and Evaluation where he teaches and publishes in the areas of health services research and knowledge translation.
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
Peter is a general internist and epidemiologist, and the Director of the Applied Health Research Centre (AHRC) at the Li Ka Shing Knowledge Institute of St. Michael’s Hospital. He holds a Tier 1 Canada Research Chair in Clinical Epidemiology of Chronic Diseases, and is a Professor of Medicine at the Department of Medicine and a Professor of Epidemiology at the Institute of Health Policy, Management and Evaluation at the University of Toronto. He is a graduate of the Faculty of Medicine at the University of Bern in Switzerland, completed his training in internal medicine at various hospitals in Switzerland, and was a Research Fellow at the Department of Social Medicine at the University of Bristol, UK. Prior to joining St. Michael’s Hospital, Peter was the Director of the Institute of Primary Health Care and Professor of Primary Care and Clinical Epidemiology at the Faculty of Medicine at the University of Bern in Switzerland. He held previous appointments as Director of the Institute of Social and Preventive Medicine at the University of Bern and Founding Director of CTU Bern, the University’s clinical trials unit.
Peter is internationally renowned for his methodological work and for his clinical research on the management of cardiovascular and musculoskeletal disorders. A Fellow of the European Society of Cardiology, he has had leading roles in several major cardiovascular trials, including SIRTAX, LEADERS, FAME 2 and MATRIX, served as a member of several task forces of the European Society of Cardiology and co-authored the European guidelines on myocardial revascularization and on the management of acute myocardial infarction. Peter was Editor of two Cochrane Review Groups, and contributed to the Cochrane Risk of bias tools for randomized and non-randomized studies. Since March 2020, he has worked nearly exclusively on clinical trials, observational studies, basic research and science communication related to COVID-19. From July 2020 to May 2022, he served as the Scientific Director of the Ontario COVID-19 Science Advisory Table. He contributed to over 500 papers, which were cited more than 150,000 times. Since 2015 he has been recognized as a Highly Cited Researcher.
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
Jeff Kwong is an epidemiologist, a specialist in public health and preventive medicine, and a family physician. He is the Program Leader of the Populations and Public Health Program at ICES, a Scientist at Public Health Ontario, a Professor at the University of Toronto, and the Interim Director of the University of Toronto’s Centre for Vaccine Preventable Diseases. He has conducted a range of studies related to the epidemiology of influenza and other vaccine-preventable diseases.
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
Kamil was appointed as an inaugural director of Health Data Science Branch in the Ministry of Health and Long-Term Care in April 2018. Before that Kamil worked as a Senior Manager, Methods and Modelling Unit in Health Analytics Branch since March 2009. In his current capacity, Kamil leads the predictive analytics, forecasting and artificial intelligence portfolio that supports decision making in the Ministries of Health and Long-Term Care. Prior to joining the Ministry, Kamil led large multicenter randomized clinical trial from McMaster University, worked in pharmaceutical industry, United Nations System. He also worked as a physician in hospitals and primary care in multiple jurisdictions and relief agencies. In addition to being international medial graduate, Kamil completed master’s degrees in health policy, planning and financing from London School Economics and London School of Hygiene and Tropical Medicine, and business administration from McMaster University. Kamil is also chartered public accountant in Ontario. He also holds and appointment as an adjunct faculty with the Institute of Health Policy, Management and Evaluation at the University of Toronto. In his role as a member of Modelling Consensus table Kamil led team efforts to provide administrative data to all members of the modeling table and led work on development of models to forecast LTC outbreaks, cases and death in LTC residents.
MD, MSc, PhD
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Scientist, St. Michael’s Hospital
Sharmistha Mishra, MD, MSc, PhD is an infectious disease physician and epidemiologist, and a Tier 2 Canada Research Chair in Mathematical Modeling and Program Science. She worked in Sierra Leone with the WHO during the West Africa Ebola outbreak in 2014-2016. Her research focuses on disentangling sources of heterogeneity in risks of onward transmission and is grounded in the implementation of adaptive public health strategies tailored to meet the needs of populations at differential risks. Since March 2020, she and the research lab have been working with Toronto Public Health, Safehaven, Chiefs of Ontario; and hospitals, shelters, and long-term care homes in the Greater Toronto Area to conduct data-driven epidemic modeling around sources of heterogeneity in the spread of SARS-CoV-2 with a focus on examining and evaluating population- and place-specific interventions. The lab is also conducting observational epidemiology and SARS-CoV-2 transmission modeling projects with colleagues across 5 provinces in Canada, with a focus on heterogeneity and structural inequities as mediators of epidemic spread. Sharmistha is also supporting the CanCOGen Implementation Committee as an infectious disease epidemiologist.
Applied Public Health Science Specialist in Communicable Diseases, Public Health Ontario; Affiliate, Center for Infectious Disease Modeling and Analysis, Yale School of Public Health
Dr. Alyssa Parpia is an infectious disease epidemiologist, transmission modeler, and researcher at Public Health Ontario. She is also an affiliate of the Center for Infectious Disease Modeling and Analysis (CIDMA) at the Yale School of Public Health. Dr. Parpia’s work aims to quantify the impact of public health interventions on curtailing infectious disease spread and identify drivers of disease transmission, with an overarching goal of providing policy recommendations in the support of evidence-based decision-making.
She received her PhD in Epidemiology of Microbial Diseases from Yale University, her MPH in Epidemiology from the Dalla Lana School of Public Health at the University of Toronto, and her BAH in Global Development Studies with a minor in Biochemistry from Queen’s University.
Associate Professor, School of Epidemiology and Public Health, University of Ottawa Scientist, Ottawa Hospital Research Institute
Dr. Justin Presseau is an Associate Professor in the School of Epidemiology and Public Health and the School of Psychology at the University of Ottawa, and a Scientist at the Ottawa Hospital Research Institute where he leads the Psychology and Health Research Group and is core faculty in the Centre for Implementation Research. He is the Scientific Lead for Knowledge Translation at the Ottawa Methods Centre SPOR Support Unit.
His research program operates at the intersection between health psychology and implementation science. His research draws on behavioural science to understand factors that promote and undermine behaviour change in healthcare, and in patients and the general public. He is the recipient of early career awards from the UK Society for Behavioural Medicine, the International Society of Behavioral Medicine, and the European Health Psychology Society, and a mid-career award from the Canadian Psychological Association. He has published over 100 peer-reviewed articles and is Associate Editor for the journals Implementation Science, as well as being chair of the Canadian Psychological Association’s Health Psychology and Behavioural Medicine section.
- PubMed Profile
- Affiliated with:
- Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa
- Declaration(s) of Interest:
- 2022-05-26 (PDF)
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.
Dr. Rochon is a geriatrician and senior scientist at Women’s College Hospital. She is a professor in the Department of Medicine and is the inaugural RTOERO Chair in Geriatric Medicine at the University of Toronto.
Dr. Rochon’s research focuses on understanding the unique needs of older adults, particularly older women, and promotes their health and wellness. She has contributed to our understanding of aging and its impact both on individual patients and the healthcare system. These contributions include highlighting the need to consider sex, gender and age in research so that results are more relevant to older women and men and tailoring prescribing strategies to reduce adverse drug events.
Dr. Rochon has a strong record of federal funding and has published more than 300 papers in peer-reviewed journals. She is the Vice-Chair of the CIHR Institute of Aging Advisory Board and has received research distinctions, including being elected to the Canadian Academy of Health Sciences and being awarded the Eaton Clinical Researcher of the Year Award for 2020 from the Department of Medicine at the University of Toronto. In January of 2020, she was invited to participate on an Advisory Group to support the Ministry of Long-Term Care in developing a long-term care staffing study; in April 2020 she was invited to join a national Task Group on COVID-19 in long-term care homes. This task group was convened to provide practical advice to the federal government on the topic of long-term care homes.
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
Laura C. Rosella, PhD is an epidemiologist and Associate Professor in the Dalla Lana School of Public Health. She holds a Canada Research Chair in Population Health Analytics and scientific appointments at the Vector Institute, Institute of Better Health and ICES. Her research interests include developing and validating prediction models to support health planning and examining the population and health system impact of the social determinants of health.
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
Beate Sander, RN MBA MEcDev PhD, is an internationally recognized leader in infectious disease economics with extensive expertise in health economics and simulation modeling. Dr. Sander holds a Canada Research Chair in Economics of Infectious Diseases and is principal investigator of several multidisciplinary projects funded by the Canadian Institutes of Health Research (CIHR) and other funders, including an evaluation of Zika virus – and recently COVID-19 – interventions using computer simulation. She has developed novel approaches to evaluate intersectoral interventions and pioneered research on the burden of infectious diseases in Canada using linked population-based data. Dr. Sander has received several awards for research excellence. She contributes substantively to federal/provincial policy decision-making, serving as an expert to national and international advisory bodies, including Canada’s National Advisory Committee on Immunization (NACI), where she also chairs the Economics Task Group and co-chairs the Economic Guidelines Task Group. Dr. Sander is the Faculty Co-Lead for the Health Technology Assessment emphasis at the Institute of Health Policy, Management and Evaluation, University of Toronto, and teaches a popular graduate course on decision-analytic modeling and cost-effectiveness.
Vice-President, Public Health Ontario; Professor, Department of Family and Community Medicine and Dalla Lana School of Public Health, University of Toronto
Brian Schwartz provides executive leadership for PHO’s public health science and population health programs including environmental and occupational health, health promotion, chronic disease and injury prevention, and research and ethics services. Previous portfolios include health protection, emergency preparedness, communicable diseases and infection prevention and control. Dr. Schwartz served as Scientific Advisor to the Emergency Management Branch of the Ministry of Heath and Long Term Care from 2004 to 2011, and was Public Health Ontario’s inaugural Chief of Emergency Management Support. He acted as Vice-chair of the Ontario SARS Scientific Advisory Committee in 2003 and was Chair of the Scientific Response Team for the 2009 H1N1 pandemic.
Before entering public health Dr. Schwartz practiced emergency medicine for over 30 years in community and academic settings. He held the position of Director of the Sunnybrook Centre for Prehospital Care from 1996 to 2009, and has published extensively in emergency medicine, prehospital/paramedic care, and health emergency preparedness and response. He has been a member of the Canadian Pandemic Influenza Plan Working Group since its inception.
Brian obtained his medical degree and Master of Science in Community Health from the University of Toronto. He received his certification in emergency medicine from and is a Fellow of the College of Family Physicians of Canada.
PhD, MPH, MSc
Assistant Professor, Dalla Lana School of Public Health, University of Toronto; Department of Population Medicine (Greer), University of Guelph
Ashleigh Tuite is an infectious disease epidemiologist, mathematical modeler, and an assistant professor at the University of Toronto’s Dalla Lana School of Public Health. Dr. Tuite’s research program focuses on the use of mathematical modeling and other quantitative methods to improve decision-making for emerging, re-emerging, and endemic communicable diseases. She uses models to project the spread of communicable diseases and better understand and quantify the health, economic, and social implications of different control measures and policies. She is particularly interested in the use of mathematical models to synthesize and communicate complex information and uncertainty.
MD, MPH, PhD
Secretary-General, International Union Against TB and Lung Disease; Associate Professor, Dalla Lana School of Public Health, University of Toronto
Xiaolin is a medical doctor, public health specialists, professor and the Dalla Lana Chair in Global Health Policy in the University of Toronto. He became a Fellow of the Faculty of Public Health of UK in 2012. Xiaolin has conducted research using implementation science frameworks to change clinical practice and make impacts at the policy level in areas of antimicrobial resistance, tuberculosis control and diabetes/ hypertension care. He also conducted comparative analysis for primary care reforms. He has published over 100 peer reviewed research papers, and led over $7m research funding as the principal investigator from MRC, DFID, CIHR, StopTB Partnership and HK RGC. He serves as board member and has served as the Secretary General and Vice President of the International Union of Lung Disease.
Distinguished Research Professor, Department of Mathematics and Statistics, York University; Fields Institute for Research in Mathematical Sciences; Centre for Disease Modelling, York University
Jianhong Wu is a University Distinguished Research Professor and Senior Canada Research Chair in Industrial and Applied Mathematics, York University. He is also the NSERC Industrial Research Chair in vaccine mathematics, modelling, and manufacturing. His expertise includes dynamical systems and bifurcation theory, that develops methodologies to identify long-term dynamic scenarios of an epidemiological system. He also pioneered a neural network architecture for pattern recognition in high dimensional data. This expertise, along with his interdisciplinary collaborative network, put him in a good position to develop a reciprocal linkage between public health and mathematics. Staring from the 2003 SARS outbreak, Dr. Wu has led multiple national teams to develop mathematical technologies to address key public health issues relevant to emerging infectious diseases including SARS, pandemic influenza, Ebola, antimicrobial drug resistance, and Lyme disease. He is currently leading the National COVID-19 Modeling Rapid Response Task Force.
M.Arch, M.P.P, PhD
Manager of the Economic Analysis and Evaluation Unit, Ontario Ministries of Health and Long-Term Care
Emre is working as Manager of the Economic Analysis and Evaluation Unit at the Strategic Policy and Planning Division of the Ontario Ministries of Health and Long-Term Care (MOH/LTC). He has a Master of Public Policy degree from the School of Public Policy and Governance (SPPG) at the University of Toronto, where he focused on polices related to governance, economics and public health. During that time, he was a CIHR (Canadian Institute for Health Research) Fellow in Public Health Policy at the Dalla Lana School of Public Health and a Lupina Fellow in the Munk School of Global Affairs, University of Toronto. Currently, he is a PhD Candidate in Health Economics in IHPME, University of Toronto.
Project Manager Project Manager, Fields Mathematical Modelling of COVID-19 Task Force
Sarah Nayani is the Project Manager for the Fields Mathematical Modelling of COVID-19 Task Force at The Fields Institute of Research in Mathematical Sciences. Sarah has over seven years health research and evaluation experience: as Evaluation Manager for the UK National Health Service, Research Coordinator at Public Health Ontario, and latterly, Research Manager in Infectious Disease research for Dr. Allison McGeer at the Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital in Toronto. Sarah has worked on research studies funded by the Canadian Institutes of Health Research, the Built in Canada Innovation Program, and pharmacological studies and clinical tests.
Sarah received her doctorate in Post-war Recovery Studies and Political Science from the University of York in the UK.
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
Dr. Naimark is an associate professor, Department of Medicine and Institute of Health Policy, Management and Evaluation (iHPME), and full member of the School of Graduate Studies, University of Toronto. He joined the Faculty of Medicine as a staff nephrologist at Sunnybrook Health Sciences Centre in 1997 with an interest in the epidemiology of chronic kidney disease (CKD). He holds a cross-appointment in the Institute of Health Policy Management and Evaluation at the University of Toronto. He developed the electronic medical record used at Sunnybrook which was used to develop the Kidney Failure Risk Equation, to predict progression to kidney failure from stage 3 – 5 CKD. The resulting work was published in JAMA, has been widely cited, converted into a smart-phone application, validated internationally, and is used to determine eligibility for multidisciplinary funding for CKD patients in Ontario. Dr. Naimark is an active member of the CKD Prognosis Consortium (CKD-PC), an international group of 45 databases containing 11 million CKD patients. He is director of the advanced decision analysis course at iHPME and has taught or mentored seventy graduate students with respect to sophisticated decision modeling techniques since his appointment. These computer simulations focus on individual persons or patients allowing for interactions of relevance for infectious disease transmission, competition for scarce resources and many other clinical and public health scenarios.