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Vaccination
Tags: Vaccine, Vaccines, Vaccinations
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Explain
⌅
EIDM
EIDM ☜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]☜F1CEB7
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Research interests
Research interests☜☜9FDEF6
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Vaccination
Vaccination☜☜9FDEF6
⇤
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Frank van der Meer☜Professor in the Faculty of Veterinary Medicine at the University of Calgary and Associate Member of the One Health Research Group.☜FFFACD
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Manisha Kulkarni
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Matt Keeling
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Rita Isabel Henderson
Rita Isabel Henderson☜Assistant Professor in the Cumming School of Medicine, and Full Member at the Hotchkiss Brain Institute at the University of Calgary.☜FFFACD
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2021/11/23 Jane Heffernan
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2022/02/15 Shigui Ruan
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220928 Iain Moyles
220928 Iain Moyles☜From population spread to cellular immunity: A mathematical modellers journey through COVID-19☜FFFACD
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2022/01/26 MfPH Workshop on Endemic COVID-19: Mathematical Insights
2022/01/26 MfPH Workshop on Endemic COVID-19: Mathematical Insights☜Discussions on modeling challenges of the following public health issues: (1) What is a “definition” of post-COVID-19 new normal or the endemic state; (2) What are the necessary public-health measures (monitoring, surveillance, contact tracing, face masks, vaccine passport etc) and pharmaceutical interventions to achieve the transition from epidemic to endemic state; (3) What are the indicators that can be used for a sustained normal or “tolerable” endemic state?☜FFFACD
⇤
Vaccination and antimicrobials, from the individual to the population
Vaccination and antimicrobials, from the individual to the population☜Vaccination and antimicrobials, from the individual to the population: Real-time modelling and data analysis to project therapeutic intervention.☜FFFACD
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Implementation of mobility restrictions
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01 Contact Mixing and Optimal Decision Making
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⇤
11 Immune response, immune memory and cross-immunity
11 Immune response, immune memory and cross-immunity☜This project aims to develop and analyze a suite of models of an immune response to an emergent infectious pathogen incorporating immune memory generated by prior infection by related pathogens.☜FFFACD
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Ashleigh Tuite
Ashleigh Tuite☜Ashleigh Tuite is an Assistant Professor in the Epidemiology Division at the Dalla Lana School of Public Health at the University of Toronto.☜FFFACD
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Erica Moodie
Erica Moodie☜Erica Moodie obtained her PhD in Biostatistics in 2006 from the University of Washington, before joining McGill University where she is now a William Dawson Scholar and an Associate Professor of Biostatistics. Her main research interests are in causal inference and longitudinal data with a focus on adaptive treatment strategies. She is an Elected Member of the International Statistical Institute, and an Associate Editor of Biometrics and the Journal of the American Statistical Association. ☜FFFACD
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Erin Kirwin
Erin Kirwin☜Erin Kirwin (she/her) is a Health Economist at the Institute of Health Economics (IHE) in Alberta, Canada. She holds a Bachelor of Arts (Honours) in Economics and International Development Studies from McGill University and a Master of Arts in Economics from the University of Alberta. Prior to joining the IHE, Erin was the Manager of Advanced Analytics at Alberta Health. Erin is a PhD candidate at the University of Manchester.☜FFFACD
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Jane Heffernan
Jane Heffernan☜Jane 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.☜FFFACD
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Jianhong Wu
Jianhong Wu☜Professor 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. ☜FFFACD
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John Edmunds
John Edmunds☜Dr. John Edmunds, OBE FMedSci is a British epidemiologist, and a professor in the Faculty of Epidemiology and Population Health at the London School of Hygiene & Tropical Medicine.☜FFFACD
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Nicole Basta
Nicole Basta☜Associate Professor and Canada Research Chair in Infectious Disease Prevention (Tier 2) in the Department of Epidemiology, Biostatistics, and Occupational Health, in the School of Population and Global Health and Faculty of Medicine and Health Sciences at McGill University.☜FFFACD
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Xingfu Zou
Xingfu Zou☜Professor in the Department of Applied Mathematics at the University of Western Ontario.☜FFFACD
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Zahid Butt
Zahid Butt☜Dr. Zahid Butt is an Assistant Professor in the School of Public Health and Health Systems at the University of Waterloo.☜FFFACD
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Vaccine and Infectious Disease Organization
Vaccine and Infectious Disease Organization☜☜FFFACD
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2022/05/22 – François Castonguay
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08 Contact tracing
08 Contact tracing☜This project aims to develop models and analyses that incorporates the processes of diagnosis of symptomatic individuals and contact tracing to address important issues relevant to outbreak control: tracing delays; tracing resource allocation among regions with different prevalence or growth rate; adherence of individuals to isolation and to disclosure of contacts; vaccine coverage levels.☜FFFACD
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07 Antimicrobial Resistance
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Michael Y Li
Michael Y Li☜Professor of Mathematics in the Department of Mathematical and Statistical Sciences at the University of Alberta, and Director of the Information Research Lab (IRL).☜FFFACD
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04 Intervention and Control
04 Intervention and Control☜As evident in the COVID-19 pandemic, a substantial challenge in managing epidemics is the duration of the application of non-pharmaceutical interventions (NPIs), especially those that disrupt “normal” societal organization and function such as social distancing. These measures quickly become infeasible as pandemic fatigue builds.☜FFFACD
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Sharmistha Mishra
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Marc Brisson
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Caroline Colijn
Caroline Colijn☜Dr. Caroline Colijn works at the interface of mathematics, evolution, infection and public health, and leads the MAGPIE research group. She joined SFUs 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 Londons Centre for the Mathematics of Precision Healthcare.☜FFFACD
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Paul Tupper
Paul Tupper☜Professor in the Department of Mathematics at Simon Fraser University.☜FFFACD
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Naveed Zafar Janjua
Naveed Zafar Janjua☜Dr. Naveed Zafar Janjua is an epidemiologist and senior scientist at the BC Centre for Disease Control and Clinical Associate Professor at School of Population and Public Health, University of British Columbia. Dr. Janjua is a Medical Doctor (MBBS) with a Masters of Science (MSc) degree in Epidemiology & Biostatistics and Doctorate in Public Health (DrPH). ☜FFFACD
⇤
Tyler Williamson
Tyler Williamson☜Tyler Williamson is the Director of the Centre for Health Informatics, formerly the Associate Director. In addition, he is an Associate Professor of Biostatistics in the Department of Community Health Sciences as well as the Director of the Health Data Science and Biostatistics Diploma Program at the University of Calgary.☜FFFACD
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Monica Cojocaru
Monica Cojocaru☜Professor in the Mathematics & Statistics Department at the University of Guelph. ☜FFFACD
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Venkata Duvvuri
Venkata Duvvuri☜Dr. Duvvuri is an Assistant Professor and leads an interdisciplinary research program advancing genomic surveillance research, development, and practice in the Department of Laboratory Medicine & Pathobiology at the University of Toronto. He is also a Scientist in Machine Learning at Public Health Ontario.☜FFFACD
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221117 Stochasticity in adherence to nonpharmaceutical interventions
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Digital Twins☜“A digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.” [1]☜9FDEF6
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