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23/11/16 Rob Deardon
Document
1
#715384
Bayesian behavioural change epidemic models.
CONTEXT
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EIDM »
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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Networks »
Networks
Networks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9
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CANMOD »
CANMOD
CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9
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CANMOD – Training »
CANMOD – Training
CANMOD – Training☜We are building expertise amongst the next generation of infectious disease modellers, and preparing them for careers in academia, industry, and the public sector.☜AECCD8
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23/11/12 CANMOD: Progress and Next Steps »
23/11/12 CANMOD: Progress and Next Steps
23/11/12 CANMOD: Progress and Next Steps☜The Banff International Research Station will host the The Canadian Network for Modelling Infectious Diseases: Progress and Next Steps workshop in Banff from November 12 to November 17, 2023. Organizers: David Earn (McMaster University), Caroline Colijn (Simon Fraser University), Irena Papst (Public Health Agency of Canada).☜E883B6
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23/11/16 Rob Deardon
23/11/16 Rob Deardon☜Bayesian behavioural change epidemic models.☜B5ACA0
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Rob Deardon »
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
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Behaviour »
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
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Mathematical modelling of human response behaviour during pandemics »
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
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Bayesian analysis »
Bayesian analysis
Bayesian analysis☜☜FFFACD
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David Price
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Entry date (GMT):
11/16/2023 10:12:00 PM
Last edit date (GMT):
11/16/2023 10:43:00 PM
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