comments
Respond
Comment on the article
Add a citation
Reply with an article
Start a new topic
Edit
Edit article
Delete article
Share
Invite
Link
Embed
Social media
Avatar
View
Graph
Explorer
Focus
Down
Load 1 level
Load 2 levels
Load 3 levels
Load 4 levels
Load all levels
All
Dagre
Focus
Down
Load 1 level
Load 2 levels
Load 3 levels
Load 4 level
Load all levels
All
Tree
SpaceTree
Focus
Expanding
Load 1 level
Load 2 levels
Load 3 levels
Down
All
Down
Radial
Focus
Expanding
Load 1 level
Load 2 levels
Load 3 levels
Down
All
Down
Box
Focus
Expanding
Down
Up
All
Down
Article ✓
Outline
Document
Down
All
Page
Canvas
Time
Timeline
Calendar
Updates
Subscribe to updates
Get updates
Past 24 hours
Past week
Past month
Past year
Pause updates
Contact us
Covid-19
Tags: Covid, SARS-CoV-2
RELATED ARTICLES
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
⌃
Research interests
Research interests☜☜9FDEF6
■
Covid-19
Covid-19☜☜9FDEF6
↳
Long covid
Long covid☜☜9FDEF6
⇤
Alex Petiquan
Alex Petiquan☜Alex Petiquan is Anishinaabe from Wabauskang First Nation and graduated from the Northern Ontario School of Medicine in Thunder Bay, ON. He now works as a Senior Analyst in the Federal sector which has spanned Indigenous Public Health, epidemiology, data sharing agreements, regional Indigenous community engagements and participating in joint departmental public health response for emerging issues and COVID-19.☜FFFACD
⇤
Amy Hurford
Amy Hurford☜Amy Hurford is an Associate Professor jointly appointed in the Department of Biology and the Department of Mathematics and Statistics at Memorial University of Newfoundland and Labrador. ☜FFFACD
⇤
Arne Ruckert
Arne Ruckert☜Arne Ruckert is a Managing Director (Research) at the Globalization and Health Equity Research Unit, and Research Coordinator of the Global One Health Network, at the University of Ottawa. He is also the Associate Director of the OMNI-REUNIS Infectious Disease Modeling Network, at York University.☜FFFACD
⇤
Christopher Cotton
Christopher Cotton☜Christopher Cotton is a Professor of Economics at Queen’s University where he holds the Jarislowsky-Deutsch Chair in Economic & Financial Policy.☜FFFACD
⇤
Christopher McCabe
Christopher McCabe☜Dr. Christopher McCabe is the CEO and Executive Director of the Institute of Health Economics (IHE).☜FFFACD
⇤
David Earn
David Earn☜Professor of Mathematics and Faculty of Science Research Chair in Mathematical Epidemiology at McMaster University.☜FFFACD
⇤
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
⇤
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
⇤
Fred Brauer - In Memoriam
Fred Brauer - In Memoriam☜Fred Brauer, professor emeritus, died on 17 October 2021 in Vancouver, BC. ☜FFFACD
⇤
Frédéric Tremblay
Frédéric Tremblay☜Frédéric recently completed his PhD in Economics at Queen’s University where he researched savings groups as a financial inclusion intervention in international development. In the last year, he also worked on the modelling of the economic impact of COVID-19 and the associated lockdown policies, analysis which has shaped provincial and federal policy. Frédéric also has extensive experience in tax policy modelling and tax expenditures estimation.☜FFFACD
⇤
Harini Kapali
Harini Kapali☜Harini Kapali is a Master of Arts (MA) Candidate in the Department of Economics at the University of Victoria. Her research interests are in the areas of health, labour, and environmental economics. Particularly, she is interested in using applied Microeconometric tools and techniques to help evaluate programs and inform policy decisions.☜FFFACD
⇤
Huw Lloyd-Ellis
Huw Lloyd-Ellis☜Huw Lloyd-Ellis has over 25 years of experience conducting academic research in a broad range of areas, including economic development, growth and inequality, economic fluctuations, fiscal policy and housing. His research has been published in leading academic journals, including the American Economic Review, the Review of Economic Studies and the International Economic Review.☜FFFACD
⇤
Jean-Paul Soucy
Jean-Paul Soucy☜PhD candidate in epidemiology in the Dalla Lana School of Public Health at the University of Toronto. Co-founder and lead developer of the COVID-19 Canada Open Data Working Group (@ccodwg)☜FFFACD
⇤
Jo-Anne Relf-Eckstein
Jo-Anne Relf-Eckstein☜Jo-Anne was born and raised on a mixed dairy farm in southeastern Saskatchewan, completed a degree in Agriculture and worked in research after leaving the family farm. In 2020, she defended her thesis in COVID-times style graduating with a master’s degree in Public Policy (MPP) from the Johnson-Shoyama Graduate School of Public Policy, University of Saskatchewan.☜FFFACD
⇤
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
⇤
Julien Arino
Julien Arino☜Professor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.☜FFFACD
⇤
Justin Remais
Justin Remais☜Prof. Justin Remais’ research advances methods for estimating the health risks that result from a wide range of environmental changes, such as those associated with rapid urbanization, industrialization, changes in water resources, and a changing and more variable climate.☜FFFACD
⇤
Larry Svenson - In Memoriam
Larry Svenson - In Memoriam☜Dr. Larry Svenson, who passed away unexpectedly on Friday, March 25, 2022, was an Associate Professor, Special Continuing in the Division of Preventive Medicine, Department of Medicine, University of Alberta.☜FFFACD
⇤
Lindsay Tedds
Lindsay Tedds☜Dr. Lindsay Tedds is an Associate Professor in the Department of Economics, fully seconded to the School of Public Policy, at the University of Calgary. Her primary research fields are in tax policy, public economics, and public policy design and implementation. Her transciplinary approach to research harnesses the strengths of economics, law, public administration, and intersectionality in the study of public policy problems.☜FFFACD
⇤
Lisa Kanary
Lisa Kanary☜Instructor, Business Administration in the School of Business and Leadership at Yukon University.☜FFFACD
⇤
Lorian Hardcastle
Lorian Hardcastle☜Associate Professor in the Faculty of Law at the University of Calgary.☜FFFACD
⇤
Marc Brisson
Marc Brisson☜Dr. Marc Brisson is full professor at Laval University where he leads the Research Group in Mathematical Modeling and Health Economics of Infectious Diseases.☜FFFACD
⇤
Marina Freire-Gormaly
Marina Freire-Gormaly☜Dr. Marina Freire-Gormaly is an Assistant Professor in Mechanical Engineering Department at the Lassonde School of Engineering at York University. ☜FFFACD
⇤
Matt Keeling
Matt Keeling☜My research focuses on the three E’s: Epidemiology, Evolution and Ecology. I am particularly interested in how spatial structure, heterogeneities and stochasticity affect the emergent population-level dynamics; as such my work uses a wide range of modelling tools and concepts.☜FFFACD
⇤
Michael WZ Li
Michael WZ Li☜Michael Li is Senior Scientist in the Public Health Risk Science Division (PHRS) of the Public Health Agency of Canada (PHAC) and a Research Associate at the South African Centre for Epidemiological Modelling and Analysis (SACEMA).☜FFFACD
⇤
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
⇤
Morgan Craig
Morgan Craig☜Morgan Craig is a Researcher at the Sainte-Justine University Hospital Research Centre and an Assistant Professor in the Department of Mathematics and Statistics at the University of Montréal. ☜FFFACD
⇤
Nabil Afodjo
Nabil Afodjo☜Dr. Nabil Afodjo is a One Society Network Post-Doctoral Fellow in the Department of Economics at Queen’s University. He holds a PhD and an MA in Economics from Carleton University, and an MSc in Mathematics from the University of Ottawa. Dr. Afodjo is an Applied Microeconomist whose main research interests are in education, health, and public economics.☜FFFACD
⇤
Samira Mubareka
Samira Mubareka☜Samira Mubareka is currently a virologist, medical microbiologist and infectious disease physician at Sunnybrook Health Sciences Centre in Toronto, Ontario, Canada and in the Department of Laboratory Medicine and Pathobiology at the University of Toronto.☜FFFACD
⇤
Sanjeev Seahra
Sanjeev Seahra☜Chair of the Department of Mathematics and Statistics at the University of New Brunswick (Fredericton) and the Director of AARMS (the Atlantic Association for Research in the Mathematical Sciences).☜FFFACD
⇤
Seyed Moghadas
Seyed Moghadas☜Seyed Moghadas is an infectious disease modeller whose research includes mathematical and computational modelling in epidemiology and immunology. In particular, he is interested in the theoretical and computational aspects of mathematical models describing the underlying dynamics of infectious diseases, with a particular emphasis on establishing strong links between micro (individual) and macro (population) levels.☜FFFACD
⇤
Shelby Sturrock
Shelby Sturrock☜PhD Candidate in Epidemiology at the University of Toronto Dalla Lana School of Public Health.☜FFFACD
⇤
Thomas Hurd - In Memoriam
Thomas Hurd - In Memoriam☜Tom Hurd, professor in the Department of Mathematics and Statistics at McMaster University and world leading researcher in financial mathematics, died on April 28, 2022, at St Peter’s Hospital, Hamilton ON, five weeks after being diagnosed with brain cancer. [1]☜FFFACD
⇤
Thomas Poder
Thomas Poder☜Professor in the School of Public Health, Department of Health Management, Evaluation and Policy at the University of Montreal.☜FFFACD
⇤
British Columbia COVID-19 Group
British Columbia COVID-19 Group☜The BC COVID-19 Modelling Group works on rapid response modelling of the COVID-19 pandemic, with a special focus on British Columbia and Canada.☜FFFACD
⇤
COVID-19 Canada Open Data Working Group
COVID-19 Canada Open Data Working Group☜The COVID-19 Canada Open Data Working Group is made up of a dedicated team of volunteers with expertise in epidemiology, public health, and data science.☜FFFACD
⇤
2021/09/07 Feaven Sahle, Kamil Malikov & Peter Hamilton
2021/09/07 Feaven Sahle, Kamil Malikov & Peter Hamilton☜The use of a hurricane model in public health: method, use and presentation.☜FFFACD
⇤
2021/09/21 Julien Arino
2021/09/21 Julien Arino☜Some observations about the spatial and temporal spread of COVID-19.☜FFFACD
⇤
2021/10/05 Nathaniel Osgood & Cheryl Waldner
2021/10/05 Nathaniel Osgood & Cheryl Waldner☜Antimicrobial resistance from farm to fork: first steps in a multi-scale modelling approach.☜FFFACD
⇤
2021/10/19 Nathaniel Osgood
2021/10/19 Nathaniel Osgood☜Service Delivery from Models: Production-grade real-time COVID-19 epidemiology and acute care demand monitoring and nowcasting via Particle-Filter & Particle MCMC-leveraged Transmission Models☜FFFACD
⇤
2021/11/16 Gabrielle Brankston
2021/11/16 Gabrielle Brankston☜Quantifying Social Contact Patterns in Response to COVID-19 Public Health Measures in Canada.☜FFFACD
⇤
2021/11/23 Jane Heffernan
2021/11/23 Jane Heffernan☜Modelling Immunity.☜FFFACD
⇤
2021/12/07 Sharmistha Mishra
2021/12/07 Sharmistha Mishra☜Special EDI Session 1 - Modellers, first do no harm: terminology, assumptions, and the interpretation of epidemic models in the context of communities most affected.☜FFFACD
⇤
2021/12/14 Nathaniel Osgood
2021/12/14 Nathaniel Osgood☜Special EDI Session 2 - Dynamic Modelling & Health Inequities: Peril & Promise, Principles & Practices☜FFFACD
⇤
22/01/11 Amy Hurford
22/01/11 Amy Hurford☜Modelling COVID-19 importations and travel restrictions in smaller jurisdictions☜FFFACD
⇤
2022/01/18 Ali Asgary & Nathaniel Osgood
2022/01/18 Ali Asgary & Nathaniel Osgood☜Developing the Next Generation of Pandemic Training Exercises for EOC☜FFFACD
⇤
2022/01/25 WF Shadwick & Ana Cascon
2022/01/25 WF Shadwick & Ana Cascon☜Predicting the Course of Covid-19☜FFFACD
⇤
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
⇤
2022/02/10 – Huw Lloyd-Ellis & Frédéric Tremblay
2022/02/10 – Huw Lloyd-Ellis & Frédéric Tremblay☜On Modelling the Economic Impacts of Policy Responses to Pandemics☜FFFACD
⇤
2022/02/24 – Vic Adamowicz, Patrick Lloyd-Smith & Tsegaye Gatiso
2022/02/24 – Vic Adamowicz, Patrick Lloyd-Smith & Tsegaye Gatiso☜Economics, the Environment, and the Covid-19 Pandemic: An Overview and Research Agenda☜FFFACD
⇤
2022/03/10 – Ellen Rafferty & Danica Wolitski
2022/03/10 – Ellen Rafferty & Danica Wolitski☜Effect of the COVID-19 Pandemic on Economic Outcomes within the Health Care Sector.☜FFFACD
⇤
2022/03/24 – Kate Harback
2022/03/24 – Kate Harback☜Not a Monolith: Transportation & the Pandemic☜FFFACD
⇤
22/03/28 COVID-19 Model Comparison Workshop
22/03/28 COVID-19 Model Comparison Workshop☜To compare models, identify key unknown parameters, and determine how much they affect key outcomes.☜FFFACD
⇤
2022/04/05 Jorge Velasco-Hernandez
2022/04/05 Jorge Velasco-Hernandez☜Modeling behavioral change and COVID-19 containment in Mexico☜FFFACD
⇤
2022/04/21 – Maggie Jones
2022/04/21 – Maggie Jones☜Title: The Interaction Between COVID-19 and Educational Outcomes: What Have We Learned 2.5 Years Into the Pandemic?☜FFFACD
⇤
2022/05/12 – Cheryl Waldner & Jo-Anne Relf-Eckstein
2022/05/12 – Cheryl Waldner & Jo-Anne Relf-Eckstein☜COVID-19 and the Canadian cattle/beef production system: Developing a Causal Loop Diagram for modelling the unstructured problem of the pandemic.☜FFFACD
⇤
2022/05/22 – François Castonguay
2022/05/22 – François Castonguay☜Spatial Allocation of Scarce COVID-19 Vaccines: When Does an Allocation Rule Based on Relative Population Size Perform Well?☜FFFACD
⇤
2022/05/31 David Champredon
2022/05/31 David Champredon☜Wastewater-Based Modelling to Support COVID-19 Surveillance☜FFFACD
⇤
220601 COVID-19 in the UK: Data, Models, Projections and Policy
220601 COVID-19 in the UK: Data, Models, Projections and Policy☜Dr. Matt Keeling, Professor in the Mathematics Institute and the School of Life Sciences at the University of Warwick (UK), June 1, 2022.☜FFFACD
⇤
2022/06/16 – Laurel Wheeler
2022/06/16 – Laurel Wheeler☜Indigenous-Engaged Research and Scholarship: Lessons Learned and Methodological Approaches☜FFFACD
⇤
220817 Jude Kong
220817 Jude Kong☜Estimation of COVID-19 ascertainment rates across Africa and drivers of transmission dynamics worldwide in the early stage.☜FFFACD
⇤
220928 Iain Moyles
220928 Iain Moyles☜From population spread to cellular immunity: A mathematical modellers journey through COVID-19☜FFFACD
⇤
01 Imperfect testing and serosurveys
01 Imperfect testing and serosurveys☜Projects in this node of the network involve developing statistical methods for analyzing infectious disease data, both in the context of the COVID-19 pandemic and other contexts. Goals include addressing various challenging issues associated with noisy data, including heterogeneity, varying incubation times, reporting errors, imperfect test specificity and sensitivity, and missing values.☜FFFACD
⇤
02 COVID mortality forecasting
02 COVID mortality forecasting☜An existing forecasting model is made up of multiple waves, each of which follows the shape of a skew-normal density function, with model fitting done with Bayesian MCMC. A challenge of working with this model is the large number of latent variables which are not Gaussian. The model will be extended to make spatio-temporal forecasts, and improved algorithms for handling waves of infections must be built. Methods for handling censored, aggregated, and age-specific death counts are also required.☜FFFACD
⇤
04 Estimating COVID-19 prevalence in homeless populations
04 Estimating COVID-19 prevalence in homeless populations☜We will develop novel statistical models for estimating the abundance of hidden populations. Specifically, we will consider challenges associated with using Electronic Health Records to obtain estimates for populations at risk such as homeless populations under the COVID-19 pandemic.☜FFFACD
⇤
05 Hidden Markov Individual-level Models of Disease Transmission
05 Hidden Markov Individual-level Models of Disease Transmission☜We will develop a hidden Markov modelling framework for individual-level models of disease transmission. Such an approach allows for the incorporation of individual-level covariates, including spatial or network-based distance, as well as delayed and under-reporting of cases. Models developed will be used to gain a greater understanding of the epidemiology of diseases such as COVID-19, influenza and Ebola.☜FFFACD
⇤
06 Infection Control during Mass Gathering Events
06 Infection Control during Mass Gathering Events☜Mass gatherings (MG) have the potential to facilitate global spread of infectious pathogens. Individuals from disease-free areas may acquire the pathogen while at the mass gathering site, which in turn could lead to its translocation in the originally disease-free zones when individuals return home.☜FFFACD
⇤
07 Small-area estimation and serosurveys
07 Small-area estimation and serosurveys☜This project will develop novel statistical models for infectious diseases to address some challenges in terms of prevalence rate of infection in different small areas and domains in Canada due to COVID-19 pandemic.☜FFFACD
⇤
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada☜The aims of the research are to (1) identify localised risk factors for increased severe conditions for COVID-19 (2) identify localised areas in space–time at significantly higher risk, and (3) quantify the impact of changes in localised restriction policies on adverse outcomes and forecast the epidemic.☜FFFACD
⇤
10 Dynamic Bifurcation and Scenario Analyses
10 Dynamic Bifurcation and Scenario Analyses☜This project aims to deliver a MfPH Library of important model frameworks (discrete vs continuous, deterministic vs stochastic, homogeneous vs heterogeneous and structured); examine their respective strengths and limitations in association with those issues addressed in other MfPH projects; link the bifurcation phenomena to observed patterns of COVID-19 pandemic in Canada and globally; and distinguish finite-time behaviour optimisation from asymptotic behaviour (infinite time horizon).☜FFFACD
⇤
13 Phylodynamic Modelling of Infectious Diseases
13 Phylodynamic Modelling of Infectious Diseases☜In this project, we aim to develop phylodynamic and phylogeographic models to a) characterize the early spread of the epidemic that include insights into the origin, transmission potential, transmission routes, and genetic diversity of the pathogen; b) understand pathogen spread across spatiotemporal scales within and between geographical locations, and determine the factors that have driven pathogen spread. ☜FFFACD
⇤
EOC Modeling Simulations and Exercises
EOC Modeling Simulations and Exercises☜MfPH will utilize the Advanced Disaster, Emergency and Rapid Simulation Facility (ADERSIM) facility housed at York University to develop Emergency Operations Center (EOC) modeling, simulation and exercises.☜FFFACD
⇤
CANMOD
CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜FFFACD
⇤
MfPH
MfPH☜Mathematics 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]☜FFFACD
⇤
OMNI
OMNI☜The 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]☜FFFACD
⇤
OSN
OSN☜The 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]☜FFFACD
⇤
SMMEID
SMMEID☜This 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]☜FFFACD
⇤
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
⇤
05 Indigenous Peoples Health and Wellbeing
05 Indigenous Peoples Health and Wellbeing☜This research theme will study key areas of concern specific to Indigenous communities not addressed in modelling approaches, including: what factors contribute to different rates and pathways for ID spread in Indigenous populations (IP); how improved non-invasive monitoring strategies and early detection can empower communities and enhance self-determination; and, how response and mitigation can be informed by these data to limit spread and contain viruses at the earliest point of detection.☜FFFACD
⇤
Advancing agent-based simulation scalability
Advancing agent-based simulation scalability☜High-fidelity simulation models provide the most accurate representation of the spread of COVID and related diseases but are subject to computational limitations. Agent-based modelling, which treats each individual as a unique agent with objectives/properties/etc., is an example of such a high-fidelity model. The project’s objective is to realize a vastly improved scalability of this type of analysis, using modern techniques in the field of deep learning and AI.☜FFFACD
⇤
Behaviour
Behaviour☜In infectious disease outbreaks we often see the population reacting to outbreak severity, changing the transmission dynamics over time. For example, the COVID-19 pandemic has led to voluntary and government-mandated physical distancing across the world, which slows spread. Further, we see these behaviours relax when case counts are low and increase when high.☜FFFACD
⇤
Emerging Infectious Disease and Indigenous Peoples Health & Wellbeing
Emerging Infectious Disease and Indigenous Peoples Health & Wellbeing☜The focus is on understanding how the modelling approach needs to be different. Areas include: Health and non-health based factors influencing rate and spread of disease, mobilizing knowledge to inform, engage and empower Indigenous communities in decision-making around health and Indigenous-centered approaches to early detection, response & mitigation.☜FFFACD
⇤
Heterogeneity and syndemics
Heterogeneity and syndemics☜Emerging infectious diseases impose disproportionate burdens according to societal fault lines marked by marginalization, socioeconomic disparities, injustices, and inequities. In some cases (e.g., COVID-19) this is marked by syndemics. We will build on and extend an existing cross-sectoral partnership including patient and family advisors to greatly enrich agent-based modeling (ABM), informed by those with lived experience. ☜FFFACD
⇤
Mathematical modelling of human response behaviour during pandemics
Mathematical modelling of human response behaviour during pandemics☜Mathematical modelling of human response behaviour, opinion dynamics, and social influence during pandemics. COVID-19 showed that understanding human response to intervention is essential in mitigating disease spread and forming policy. We are particularly interested in understanding how opinion influence affects vaccine and NPI hesitancy. This project aims to incorporate a broader understanding of intervention and control, which embodies the entire theme.☜FFFACD
⇤
Smaller jurisdictions
Smaller jurisdictions☜CANMOD will develop mathematical models that: (i) are appropriate for provincial/territorial planning in smaller jurisdictions; (ii) explain how optimal public health response may be different in regions with a high proportion in imported cases; and (iii) explore how the different epidemic dynamics experienced in AC-T are influenced by the social dynamics of small and remote communities.☜FFFACD
⇤
Testing
Testing☜Effective diagnostic testing serves at least four purposes: (i) diagnosis, (ii) surveillance, (iii) outbreak mitigation/control and (iv) screening (e.g., for access to long-term care (LTC) homes, etc.). ☜FFFACD
⇤
Vaccination
Vaccination☜The existence of COVID-19 vaccines highlights the importance of research on vaccination distribution strategies. CANMOD vaccination research will focus on (i) pandemic endgames, (ii) optimal deployment, (iii) behavioural dynamics and (iv) evaluation of vaccine programs.☜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
⇤
CCODWG
CCODWG☜☜FFFACD
⇤
COVID Hospital Surge
COVID Hospital Surge☜COVID-19 Healthcare Surge Model for Greater Toronto Area Hospitals.☜FFFACD
⇤
COVID JupyterHub
COVID JupyterHub☜☜FFFACD
⇤
COVID Prevalence Estimate
COVID Prevalence Estimate☜An implementation of Bayesian inference and prediction of COVID-19 point-prevalence.☜FFFACD
⇤
COVID-19 Re - Generation Time
COVID-19 Re - Generation Time☜Estimating the effective reproduction number Re(t) for COVID19 in GTA, Canada. [1]☜FFFACD
⇤
covidseir
covidseir☜covidseir fits a Bayesian SEIR (Susceptible, Exposed, Infectious, Recovered) model to daily COVID-19 case data. The package focuses on estimating the fraction of the usual contact rate for individuals participating in physical distancing (social distancing). The model is coded in Stan. The model can accommodate multiple types of case data at once (e.g., reported cases, hospitalizations, ICU admissions) and accounts for delays between symptom onset and case appearance. [1]☜FFFACD
⇤
CovidSim
CovidSim☜CovidSim models the transmission dynamics and severity of COVID-19 infections throughout a spatially and socially structured population over time.☜FFFACD
⇤
covid-topic-modeling
covid-topic-modeling☜Social media topic modeling software.☜FFFACD
⇤
Efficacy of quarantine
Efficacy of quarantine☜R files linked to the paper Quarantine and the risk of COVID-19 importation [2]☜FFFACD
⇤
epi base package for SyncroSim
epi base package for SyncroSim☜A scenario-based modelling framework for generating locally relevant forecasts of COVID-19☜FFFACD
⇤
Estimating the infection fatality rate of Covid-19
Estimating the infection fatality rate of Covid-19☜Estimating the infection fatality rate of Covid-19 using demographics data and deaths records from Italys hardest hit area. [1]☜FFFACD
⇤
Localized Epidemiological Agent-Based Simulation (ABS)
Localized Epidemiological Agent-Based Simulation (ABS)☜ This ABS provides information about risk and the effects of both pharmacological and non-pharmacological interventions, as well as detailed control over the rapidly evolving epidemiological characteristics of COVID-19. [1]☜FFFACD
⇤
Ontario pandemic mobility
Ontario pandemic mobility☜This interactive data tool uses publicly available Google Mobility data to generate graphs displaying overall mobility changes in Ontario. Google typically updates their datasets every 3-5 days, and the new data will contain data points with a 2-3 day lag. ☜FFFACD
⇤
Open Data Model
Open Data Model☜Metadata and code to support covid-19 environmental surveillance for public health. Wastewater-based surveillance for Covid-19, with support for other health risks and environmental settings. [1]☜FFFACD
⇤
Prediction Codes
Prediction Codes☜Dataset of COVID-19 outbreak and potential predictive features in the USA.☜FFFACD
⇤
PyCoMod
PyCoMod☜PyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR)model of infectious diseases.☜FFFACD
⇤
python Population Modeller
python Population Modeller☜The pyPM.ca software was developed to study and characterize the CoViD-19 epidemic.☜FFFACD
⇤
Stochastic simulations of classroom-level COVID-19 outbreaks
Stochastic simulations of classroom-level COVID-19 outbreaks☜This repository contains code associated with a preprint exploring COVID-19 outbreaks in classrooms, and how these might be managed with several different protocols: COVID-19s unfortunate events in schools: mitigating classroom clusters in the context of variable transmission. [1]☜FFFACD
⇤
FAIR Covid19 Data Project
FAIR Covid19 Data Project☜A repository to organize the FAIR COVID-19 Data for Canada project. Led by the COVID-19 Canada Open Data Working Group and supported by CANMOD.☜FFFACD
⇤
Benjamin Bolker
Benjamin Bolker☜I’m a professor in the departments of Mathematics & Statistics and of Biology at McMaster University, and currently Director of the School of Computational Science and Engineering and Acting Associate Chair (Graduate) for Mathematics.☜FFFACD
⇤
McMasterPandemic
McMasterPandemic☜Compartmental epidemic models for forecasting and analysis of infectious disease pandemics: contributions from Ben Bolker, Jonathan Dushoff, David Earn, Weiguang Guan, Morgan Kain, Michael Li, Irena Papst, Steve Walker (in alphabetical order).☜FFFACD
⇤
Jonathan Dushoff
Jonathan Dushoff☜Professor in the Department Of Biology at McMaster University.☜FFFACD
⇤
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
⇤
David Buckeridge
David Buckeridge☜David is a Professor in the School of Population and Global Health at McGill University, where he directs the Surveillance Lab, an interdisciplinary group that develops, implements, and evaluates novel computational methods for population health surveillance. He is also the Chief Digital Health Officer at the McGill University Health Center where he directs strategy on digital transformation and analytics and he is an Associate Member with the Montreal Institute for Learning Algorithms (Mila).☜FFFACD
⇤
Sandrine Moreira
Sandrine Moreira☜Sandrine Moreira is the lead genomics for SARS-CoV-2 at the Laboratoire de Santé Publique du Québec (LSPQ) and is associate professor in the Department of Biochemistry and Molecular Medicine at the Université de Montreal. She has advanced expertise in microbial genomics that she acquired in cutting-edge research institutes, at the Institut Pasteur in Paris and in Columbia University in New York.☜FFFACD
⇤
Genomics
Genomics☜While virus genomes can describe the global context of introductions and origins of local clusters of cases, CANMOD will focus on building methods for characterizing and modelling local transmission once it is established, and for surveillance for viral determinants of increased fitness and of enhanced risk of spillover, virulence and transmission.☜FFFACD
⇤
2021/10/12 Jude Dzevela Kong & Junling Ma
2021/10/12 Jude Dzevela Kong & Junling Ma☜Frameworks for early warning signals of emerging infectious diseases.☜FFFACD
⇤
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
⇤
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
⇤
OSN – Goals
OSN – Goals☜The One Society Network has three main goals.☜FFFACD
⇤
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
⇤
Carl E. James
Carl E. James☜Carl E. James holds the Jean Augustine Chair in Education, Community & Diaspora in the Faculty of Education, York University, Toronto, where he is also the Senior Advisor in Equity and Representation in the Office of the VP Equity, People and Culture.☜FFFACD
⇤
Genomics
Genomics☜☜FFFACD
⇤
Respiratory infections
Respiratory infections☜☜FFFACD
⇤
Étienne Racine
Étienne Racine☜Étienne is a medical advisor at the National Institute of Public Health of Quebec (INSPQ).☜FFFACD
⇤
Evan Mitchell
Evan Mitchell☜Evan is a postdoctoral fellow in the Department of Mathematics and Statistics at McMaster University.☜FFFACD
⇤
David Champredon
David Champredon☜Dr. David Champredon is a senior scientist at the Public Health Agency of Canada. His work focuses on modelling the spread of infectious diseases at the population level, especially respiratory and sexually transmitted infections. During the past two years, he supported the modelling efforts to respond to the COVID-19 pandemic, particularly wastewater-based modelling.☜FFFACD
⇤
Azadeh Aghaeeyan
Azadeh Aghaeeyan☜Azadeh is a postdoctoral researcher in the Department of Mathematics & Statistics and the Ramazi Research Group at Brock University, working on integrating human decision making and epidemiological models to reveal the human impact on epidemics, and using evolutionary game theory and SIR models.☜FFFACD
⇤
Jennafer Mee
Jennafer Mee☜Jenna Mee is a doctoral student in computer science at the University of Saskatchewan.☜FFFACD
⇤
Nick Ogden
Nick Ogden☜Nicholas Ogden is a senior research scientist and Director of the Public Health Risk Sciences Division within the National Microbiology Laboratory at the Public Health Agency of Canada.☜FFFACD
⇤
Jesse Shapiro
Jesse Shapiro☜Jesse Shapiro is an Associate Professor in the Faculty of Medicine and Health Sciences at McGill University. Jesse’s research uses genomics to understand the ecology and evolution of microbes, ranging from freshwater bacterioplankton to the human gut microbiome. His work has helped elucidate the origins of bacterial species, leading to a more unified species concept across domains of life, and has developed genome-wide association study (GWAS) methods tailored for bacteria.☜FFFACD
⇤
Sana Naderi
Sana Naderi☜Sana is a PhD student in the Shapiro Lab in the McGill Genome Center and the Department of Microbiology and Immunology at McGill University.☜FFFACD
⇤
Ben Ashby
Ben Ashby☜Ben is an Associate Professor in the Department of Mathematics at Simon Fraser University.☜FFFACD
⇤
Edward Thommes
Edward Thommes ☜Edward W. Thommes is an Adjunct Professor of Mathematics at the University of Guelph and at York University. He is a Global Modeling Lead in the Modeling, Epidemiology and Data Science (MEDS) team of Sanofi Vaccines, an Affiliate Researcher in the Waterloo Institute for Complexity and Innovation (WICI), and a member of the Strategic Advisory Committee for the Mathematics for Public Health program at the Fields Institute.☜FFFACD
⇤
Monica Cojocaru
Monica Cojocaru☜Professor in the Mathematics & Statistics Department at the University of Guelph. ☜FFFACD
⇤
Woldegebriel Assefa Woldegerima
Woldegebriel Assefa Woldegerima☜Dr. Woldegerima, knows as Assefa, is an Assistant Professor at the Department of Mathematics and Statistics at York University.☜FFFACD
⇤
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
⇤
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
⇤
Mark Loeb
Mark Loeb☜Professor at Pathology and Molecular Medicine (primary), Clinical Epidemiology and Biostatistics in the Department of Pathology and Molecular Medicine at McMaster University. Associate Member, Medicine and Michael G. DeGroote Chair in Infectious Diseases.☜FFFACD
⇤
Xuekui Zhang
Xuekui Zhang☜Dr. Xuekui Zhang (PhD) is an Assistant Professor at University of Victoria, a Canada Research Chair (Tier II) in Bioinformatics and Biostatistics (2017-2027), and a Michael Smith Health Research BC Scholar (2022-2027).☜FFFACD
⇤
Alexander Rutherford
Alexander Rutherford☜Dr. Rutherford is the Director for the CSMG. Prior to joining the CSMG, he was the Scientific Executive Officer at the Pacific Institute for the Mathematical Sciences (PIMS). ☜FFFACD
⇤
Mark Lewis
Mark Lewis☜Professor Mark Lewis, Kennedy Chair in Mathematical Biology at the University of Victoria and Emeritus Professor at the University of Alberta.☜FFFACD
⇤
David Fisman
David Fisman☜I am a Professor in the Division of Epidemiology at Division of Epidemiology, Dalla Lana School of Public Health at the University of Toronto. I am a Full Member of the School of Graduate Studies. I also have cross-appointments at the Institute of Health Policy, Management and Evaluation and the Department of Medicine, Faculty of Medicine. I serve as a Consultant in Infectious Diseases at the University Health Network.☜FFFACD
⇤
Natalie Anne Prystajecky
Natalie Anne Prystajecky☜Natalie Prystajecky is the program head for the Environmental Microbiology program at the BCCDC Public Health Laboratory. She is also a clinical associate professor in the Department of Pathology & Laboratory Medicine at UBC.☜FFFACD
⇤
Beate Sander
Beate Sander☜Canada Research Chair in Economics of Infectious Diseases and Director, Health Modeling & Health Economics and Population Health Economics Research at THETA (Toronto Health Economics and Technology Assessment Collaborative).☜FFFACD
⇤
Timothy Caulfield
Timothy Caulfield☜Timothy Caulfield is a Canada Research Chair in Health Law and Policy, a Professor in the Faculty of Law and the School of Public Health, and Research Director of the Health Law Institute at the University of Alberta.☜FFFACD
⇤
Sharmistha Mishra
Sharmistha Mishra☜Sharmistha Mishra is an infectious disease physician and mathematical modeler and holds a Tier 2 Canadian Research Chair in Mathematical Modeling and Program Science.☜FFFACD
⇤
Paul Tupper
Paul Tupper☜Professor in the Department of Mathematics at Simon Fraser University.☜FFFACD
⇤
Mathieu Maheu-Giroux
Mathieu Maheu-Giroux☜Canada Research Chair (Tier 2) in Population Health Modeling and Associate Professor, McGill University.☜FFFACD
⇤
Amy Greer
Amy Greer☜Canada Research Chair in Population Disease Modelling and an associate professor in the Department of Population Medicine, Ontario Veterinary College at the University of Guelph.☜FFFACD
⇤
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
⇤
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
⇤
Caroline E Wagner
Caroline E Wagner☜Caroline Wagner is an Assistant Professor in the Department of the Bioengineering at McGill University.☜FFFACD
⇤
Nathaniel Osgood
Nathaniel Osgood☜Nathaniel D. Osgood is a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan.☜FFFACD
⇤
Daniel Coombs
Daniel Coombs☜Professor and Head of the Mathematics Department in the Institute of Applied Mathematics at the University of British Columbia.☜FFFACD
⇤
Doug Manuel
Doug Manuel☜Dr. Manuel is a Medical Doctor with a Masters in Epidemiology and Royal College specialization in Public Health and Preventive Medicine. He is a Senior Scientist in the Clinical Epidemiology Program at Ottawa Hospital Research Institute, and a Professor in the Departments of Family Medicine and Epidemiology and Community Medicine.☜FFFACD
⇤
Charmaine Dean
Charmaine Dean☜Charmaine Dean is Vice-President, Research and Professor in the Department of Statistics and Actuarial Science at the University of Waterloo.☜FFFACD
⇤
Sara McPhee-Knowles
Sara McPhee-Knowles☜PhD in Public Policy and Instructor in Business Administration at Yukon University.☜FFFACD
⇤
Sarah Otto
Sarah Otto☜Professor in Zoology. Theoretical biologist, Canada Research Chair in Theoretical and Experimental Evolution, and Killam Professor at the University of British Columbia.☜FFFACD
⇤
Gary Van Domselaar
Gary Van Domselaar☜Dr. Gary Van Domselaar, PhD (University of Alberta, 2003) is the Chief of the Bioinformatics Laboratory at the National Microbiology Laboratory in Winnipeg Canada, and Adjunct Professor in the Department of Medical Microbiology at the University of Manitoba.☜FFFACD
⇤
Rebecca Tyson
Rebecca Tyson☜Dr. Rebecca C. Tyson is an Associate Professor in Mathematical Biology at the University of British Columbia Okanagan.☜FFFACD
⇤
Lloyd T. Elliott
Lloyd T. Elliott☜Assistant Professor, Statistics and Actuarial Science at Simon Fraser University.☜FFFACD
⇤
Kumar Murty
Kumar Murty☜Professor 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.☜FFFACD
⇤
Patrick Brown
Patrick Brown☜Associate 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.☜FFFACD
⇤
Laura Cowen
Laura Cowen☜Associate Professor in the Department of Mathematics and Statistics at the University of Victoria.☜FFFACD
⇤
Troy Day
Troy Day☜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.☜FFFACD
⇤
Huaiping Zhu
Huaiping Zhu☜Professor 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). ☜FFFACD
⇤
Rob Deardon
Rob Deardon☜Associate 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.☜FFFACD
⇤
Ellen Rafferty
Ellen Rafferty☜Dr. 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.☜FFFACD
⇤
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
⇤
James Watmough
James Watmough☜Professor in the Department of Mathematics and Statistics at the University of New Brunswick.☜FFFACD
⇤
Dean Karlen
Dean Karlen☜R.M. Pearce Professor of Physics, University of Victoria and TRIUMF☜FFFACD
⇤
Iain Moyles
Iain Moyles☜Assistant Professor in the Department of Mathematics and Statistics at York University. ☜FFFACD
⇤
Jacques Bélair
Jacques Bélair☜Professor, Department of Mathematics and Statistics, Université de Montréal☜FFFACD
⇤
Jude Kong
Jude Kong☜Dr. Jude Dzevela Kong is an Assistant Professor in the Department of Mathematics and Statistics at York University and the founding Director of the Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC). ☜FFFACD
⇤
Ali Asgary
Ali Asgary☜Associate Professor and Associate Director, Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM) in the School of Administrative Studies, and Adjunct Professor in the School of Information Technology, at York University.☜FFFACD
⇤
Zahra Mohammadi
Zahra Mohammadi☜Postdoctoral Fellow, Mathematics for Public health, Fields Institute, Department of Mathematics and Statistics, University of Guelph, Memorial University of Newfoundland.☜FFFACD
⇤
Hao Wang
Hao Wang☜Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta.☜FFFACD
⇤
Theodore Kolokolnikov
Theodore Kolokolnikov☜Killam Professor of Mathematics and Statistics in the Department of Mathematics and Statistics at Dalhousie University.☜FFFACD
⇤
Junling Ma
Junling Ma☜I am an associate professor in Department of Mathematics and Statistics, University of Victoria. I received B.Sc. in Applied Mathematics in 1994, and M.Sc in Applied Mathematics in 1997, from Xian Jiaotong University, China. I received Ph.D. in Applied Mathematics from Princeton University in 2003.☜FFFACD
⇤
Steini Brown
Steini Brown☜Professor and Dean of the Dalla Lana School of Public Health at the University of Toronto.☜FFFACD
⇤
Isaac Bogoch
Isaac Bogoch☜Clinician Investigator, Toronto General Hospital Research Institute (TGHRI)☜FFFACD
⇤
Bouchra Nasri
Bouchra Nasri☜Professor Nasri is a faculty member of Biostatistics in the Department of Social and Preventive Medicine at the University of Montreal. Prof. Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence in Health and Digital Health. She holds an NSERC Discovery Grant in Statistics for time series dependence modelling for complex data.☜FFFACD
⇤
Swetaprovo Chaudhuri
Swetaprovo Chaudhuri☜Swetaprovo is an Associate Professor in the Institute for Aerospace Studies in the Faculty of Applied Science and Engineering at the University of Toronto.☜FFFACD
⇥
Wastewater-based surveillance (WBS)
Wastewater-based surveillance (WBS) ☜☜FFFACD
⇥
Contact tracing
Contact tracing☜☜FFFACD
⇥
221117 Stochasticity in adherence to nonpharmaceutical interventions
221117 Stochasticity in adherence to nonpharmaceutical interventions☜Seminar 4: The stochasticity in adherence to nonpharmaceutical interventions and booster doses and the mitigation of COVID-19. Speaker: Yi Tan, November 17, 2022.☜FFFACD
⇥
221215 Compliance with social distancing and vaccination for COVID-19
221215 Compliance with social distancing and vaccination for COVID-19☜Seminar 5: An investigation into compliance with social distancing and vaccination for COVID-19. Speaker: Jeta Molla, December 15, 2022☜FFFACD
⇥
231016 Minimizing airborne transmission routes in indoor public spaces
231016 Minimizing airborne transmission routes in indoor public spaces☜Seminar 13: Minimizing airborne transmission routes in indoor public spaces using a combined spatio-temporal risk model and computational fluid dynamics approaches. Speaker: Dr. Marina Freire-Gormaly, 16 October 2023.☜FFFACD
⇥
230316 Modelling to Support Public Health Decisions
230316 Modelling to Support Public Health Decisions☜Modelling to Support Public Health Decisions for Responding to Emerging Infectious Diseases. Speaker: Dr. Nick Ogden , Senior Research Scientist & Director of Public Health Risk Sciences Division, Public Health Agency of Canada), 16 March 2023.☜FFFACD
⇥
Diagnostic testing
Diagnostic testing☜☜FFFACD
⇥
230928 Emergency Operations Center Exercise Event
230928 Emergency Operations Center Exercise Event☜CIFAL York, Y-EMERGE, and Fields Institute hosted the Inside Public Health Emergency Operations Centers During Covid-19 Pandemic : Challenges, Lessons and Opportunities Symposium & Next Generation Pandemic Exercise on September 28 and 29, 2023 at the ADERSIM EOC, Schulich Building, at York University.☜FFFACD
⇥
CIHR Variants of Concern Study
CIHR Variants of Concern Study☜MfPH network, led by the Fields Institute and leveraging the multidisciplinary membership of the Modelling Consensus and Science Tables, and beyond, aims to develop innovative mathematical models to understand disease transmission dynamics in the context of SARS-CoV-2 and its variants, and to connect mathematicians with other experts in the diverse aspects of disease modelling to accelerate the introduction of new mathematical tools, methods, analyses and perspectives for effective response.☜FFFACD
⇥
One Health Modelling for Emerging Infectious Diseases – Fall 2022
One Health Modelling for Emerging Infectious Diseases – Fall 2022☜OMNI-RÉUNIS and Fields Institute partnered to launch a two-part graduate course on One Health Modelling for Emerging Infectious Diseases in Fall 2022 and Winter 2023. The courses were open to all students, researchers, and professionals interested in learning more about One Health Modelling for Emerging Infectious Diseases.☜FFFACD
⇥
221207 Fernando Baltazar Larios
221207 Fernando Baltazar Larios☜Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application.☜FFFACD
⇥
230125 Jacques Bélair
230125 Jacques Bélair☜Modeling the Use of Fangsang Shelter Hospitals in Wuhan.☜FFFACD
⇥
230208 Martin Grunnill
230208 Martin Grunnill☜Modelling Disease Mitigation at Mass Gatherings: A Case Study of COVID-19 at the 2022 FIFA World Cup.☜FFFACD
⇥
230315 Ariel Mundo Ortiz
230315 Ariel Mundo Ortiz☜Using statistical methods and reproducible tools to gain new insights from biomedical and public health data.☜FFFACD
⇥
221019 Bruno Remillard
221019 Bruno Remillard☜Behaviour of a stochastic SIQR model.☜FFFACD
⇥
230329 Nathan Duarte
230329 Nathan Duarte☜Statistical modelling of the incidence of SARS-CoV-2 infection from wastewater and serological data.☜FFFACD
⇥
230412 Jingjing Xu
230412 Jingjing Xu☜Modelling the effect of travel-related policies on disease control in a meta-population structure.☜FFFACD
⇥
230823 Arvin Vaziry
230823 Arvin Vaziry☜Modelling of spatial infection spread through heterogeneous population: from lattice to partial differential equation models.☜FFFACD
⇥
231011 Rado Ramasy
231011 Rado Ramasy☜Multilevel mediation analysis: Deciphering the impact of information sources on adherence to restrictive measures during the COVID-19 pandemic.☜FFFACD
⇥
231108 Julien Arino
231108 Julien Arino☜Case introductions and the spread of infectious pathogens.☜FFFACD
⇥
231206 Mortaza Baky Haskuee
231206 Mortaza Baky Haskuee☜Cost-Benefit Analysis of Containment Policies to Control Covid-19.☜FFFACD
⇥
240131 Zahra Mohammadi
240131 Zahra Mohammadi☜Pandemic Decision Support: Importation Models and Travel Restriction Measures.☜FFFACD
⇥
240214 William Ruth
240214 William Ruth☜Statistical Considerations in Multilevel Mediation Analysis.☜FFFACD
⇥
240228 Tanya Philippsen
240228 Tanya Philippsen☜A retrospective modelling analysis on the effects of control measures on SARS-CoV-2 transmission in Canada.☜FFFACD
□
Actuarial science
Actuarial science☜☜9FDEF6
□
Agent-based models
Agent-based models☜☜9FDEF6
□
Agriculture
Agriculture☜☜9FDEF6
□
Animal health
Animal health☜☜9FDEF6
□
Antimicrobial resistance
Antimicrobial resistance☜☜9FDEF6
□
Arthropods
Arthropods☜☜9FDEF6
□
Artificial intelligence
Artificial intelligence☜☜9FDEF6
□
Bayesian analysis
Bayesian analysis☜☜9FDEF6
□
Bioinformatics
Bioinformatics☜☜9FDEF6
□
Biometrics
Biometrics☜☜9FDEF6
□
Biostatistics
Biostatistics☜☜9FDEF6
□
Cancer
Cancer☜☜9FDEF6
□
Category Theory
Category Theory☜☜9FDEF6
□
Causal inference
Causal inference☜☜9FDEF6
□
Cellular biology
Cellular biology☜☜9FDEF6
□
Chikungunya
Chikungunya☜☜9FDEF6
□
Child health
Child health☜☜9FDEF6
□
Cholera
Cholera☜☜9FDEF6
□
Climate change
Climate change☜☜9FDEF6
□
Clinical trials
Clinical trials☜☜9FDEF6
□
Clostridium difficile
Clostridium difficile☜☜9FDEF6
□
Community health
Community health☜☜9FDEF6
□
Conservation
Conservation☜☜9FDEF6
□
Contact tracing
Contact tracing☜☜9FDEF6
□
COPD
COPD☜☜9FDEF6
□
Data mining
Data mining☜☜9FDEF6
□
Decision making
Decision making☜☜9FDEF6
□
Defence
Defence☜☜9FDEF6
□
Dengue
Dengue☜☜9FDEF6
□
Diabetes
Diabetes☜☜9FDEF6
□
Diagnostic testing
Diagnostic testing☜☜9FDEF6
□
Digital Twins
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
□
Dynamical systems
Dynamical systems☜☜9FDEF6
□
Ebola
Ebola☜☜9FDEF6
□
Ecology
Ecology☜☜9FDEF6
□
Economics
Economics☜☜9FDEF6
□
Energy
Energy☜☜9FDEF6
□
Enteric infections
Enteric infections☜☜9FDEF6
□
Environment
Environment☜☜9FDEF6
□
Equity
Equity☜☜9FDEF6
□
Ethics
Ethics☜☜9FDEF6
□
Finance
Finance☜☜9FDEF6
□
Food safety
Food safety☜☜9FDEF6
□
Food security
Food security☜☜9FDEF6
□
Foot and Mouth Disease
Foot and Mouth Disease☜☜9FDEF6
□
Forest fires
Forest fires☜☜9FDEF6
□
Games
Games☜☜9FDEF6
□
Gender
Gender☜☜9FDEF6
□
Genomics
Genomics☜☜9FDEF6
□
Global health
Global health☜☜9FDEF6
□
Graphs
Graphs☜☜9FDEF6
□
Health economics
Health economics☜☜9FDEF6
□
Hepatitis
Hepatitis☜☜9FDEF6
□
HIV
HIV☜☜9FDEF6
□
Homelessness
Homelessness☜☜9FDEF6
□
Human papillomavirus (HPV)
Human papillomavirus (HPV)☜☜9FDEF6
□
Immunology
Immunology☜☜9FDEF6
□
Indigenous health
Indigenous health☜☜9FDEF6
□
Influenza
Influenza☜☜9FDEF6
□
Informatics
Informatics☜☜9FDEF6
□
Insurance
Insurance☜☜9FDEF6
□
Livestock
Livestock☜☜9FDEF6
□
Lyapunov functions
Lyapunov functions☜☜9FDEF6
□
Lyme disease
Lyme disease☜☜9FDEF6
□
Machine learning
Machine learning☜☜9FDEF6
□
Malaria
Malaria☜☜9FDEF6
□
Manufacturing
Manufacturing☜☜9FDEF6
□
Markov chain
Markov chain☜Markov chain Monte Carlo methods (McMC)☜9FDEF6
□
Mental health
Mental health☜☜9FDEF6
□
Microbiology
Microbiology☜☜9FDEF6
□
Mobility
Mobility☜☜9FDEF6
□
Model‐informed drug development
Model‐informed drug development☜☜9FDEF6
□
Mortality
Mortality☜☜9FDEF6
□
Mosquitoes
Mosquitoes☜☜9FDEF6
□
mpox
mpox☜☜9FDEF6
□
Natural resource management
Natural resource management☜☜9FDEF6
□
Neisseria meningitidis
Neisseria meningitidis☜☜9FDEF6
□
Neural networks
Neural networks☜☜9FDEF6
□
Nonpharmaceutical Interventions (NPIs)
Nonpharmaceutical Interventions (NPIs)☜☜9FDEF6
□
Nutrition
Nutrition☜☜9FDEF6
□
Pathogens
Pathogens☜☜9FDEF6
□
Pertussis
Pertussis☜☜9FDEF6
□
Physics
Physics☜☜9FDEF6
□
Pneumonia
Pneumonia☜☜9FDEF6
□
Primary care
Primary care☜☜9FDEF6
□
Probiotics
Probiotics☜☜9FDEF6
□
Psychology
Psychology☜☜9FDEF6
□
Rabies
Rabies☜☜9FDEF6
□
Race
Race☜☜9FDEF6
□
Respiratory infections
Respiratory infections☜☜9FDEF6
□
Respiratory syncytial virus (RSV)
Respiratory syncytial virus (RSV)☜☜9FDEF6
□
SARS
SARS☜☜9FDEF6
□
Schools
Schools☜☜9FDEF6
□
Sentiment analysis
Sentiment analysis☜☜9FDEF6
□
Serosurveillance
Serosurveillance☜☜9FDEF6
□
Sexually transmitted infections
Sexually transmitted infections☜☜9FDEF6
□
Simulation
Simulation☜☜9FDEF6
□
Social determinants
Social determinants☜☜9FDEF6
□
Social networks
Social networks☜☜9FDEF6
□
Sociology
Sociology☜☜9FDEF6
□
Spatio-temporal analysis
Spatio-temporal analysis☜☜9FDEF6
□
Stem cells
Stem cells☜☜9FDEF6
□
Streptococcus pneumoniae
Streptococcus pneumoniae☜☜9FDEF6
□
Substance use
Substance use☜☜9FDEF6
□
Surveillance
Surveillance☜☜9FDEF6
□
Sustainability
Sustainability☜☜9FDEF6
□
Syndemics
Syndemics☜☜9FDEF6
□
Synthesis
Synthesis☜☜9FDEF6
□
Text mining
Text mining☜☜9FDEF6
□
Tuberculosis
Tuberculosis☜☜9FDEF6
□
Vaccination
Vaccination☜☜9FDEF6
□
Wastewater-based surveillance (WBS)
Wastewater-based surveillance (WBS) ☜☜9FDEF6
□
West Nile virus
West Nile virus☜☜9FDEF6
□
Workforce impact
Workforce impact☜☜9FDEF6
□
Zika
Zika☜☜9FDEF6
□
Zoonosis
Zoonosis☜☜9FDEF6
□
Graph of this discussion
Graph of this discussion☜Click this to see the whole debate, excluding comments, in graphical form☜dcdcdc
Enter the title of your article
Enter a short (max 500 characters) summation of your article
Click the button to enter task scheduling information
Open
Enter the main body of your article
Prefer more work space? Try the
big editor
Enter task details
Message text
Select assignee(s)
Due date (click calendar)
RadDatePicker
RadDatePicker
Open the calendar popup.
Calendar
Title and navigation
Title and navigation
<<
<
July 2024
>
<<
July 2024
S
M
T
W
T
F
S
27
30
1
2
3
4
5
6
28
7
8
9
10
11
12
13
29
14
15
16
17
18
19
20
30
21
22
23
24
25
26
27
31
28
29
30
31
1
2
3
32
4
5
6
7
8
9
10
Reminder
No reminder
1 day before due
2 days before due
3 days before due
1 week before due
Ready to post
Copy to text
Enter
Cancel
Task assignment(s) have been emailed and cannot now be altered
Lock
Cancel
Save
Comment graphing options
Choose comments:
Comment only
Whole thread
All comments
Choose location:
To a new map
To this map
New map options
Select map ontology
Options
Standard (default) ontology
College debate ontology
Hypothesis ontology
Influence diagram ontology
Story ontology
Graph to private map
Cancel
Proceed
+Comments (
0
)
- Comments
Add a comment
Newest first
Oldest first
Show threads
+Citations (
214
)
- Citations
Add new citation
List by:
Citerank
Map
+About
- About
Entered by:-
David Price
NodeID:
#704045
Node type:
Interest
Entry date (GMT):
11/7/2022 9:57:00 AM
Last edit date (GMT):
11/7/2022 11:22:00 AM
Show other editors
Incoming cross-relations:
24
Outgoing cross-relations:
182
Average rating:
0
by
0
users
Enter comment
Select article text to quote
Cancel
Enter
welcome text
First name
Last name
Email
Skip
Join
x
Select file to upload