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230406 Incorporating Fear (Un)learning Mechanisms in IDM
Event
1
#715805
Seminar 10: Incorporating Fear (Un)learning Mechanisms in Infectious Disease Modeling (IDM). Speaker: Avneet Kaur, 6 April 2023
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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OMNI »
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]☜79B9B9
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OMNI – Training »
OMNI – Training
OMNI – Training☜The training of Highly Qualified Personnel (HQP) is aimed at enhancing One Health modelling capacity in Canada which is at the core of our network, as many of the models we aim to build will be developed with doctoral and postdoctoral fellows’ involvement. As a network, we are committed to developing the next generation of mathematical modellers for infectious diseases.☜AECCD8
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OMNI-RÉUNIS Super Spreader Seminar Series (SSSS) »
OMNI-RÉUNIS Super Spreader Seminar Series (SSSS)
OMNI-RÉUNIS Super Spreader Seminar Series (SSSS)☜The OMNI-RÉUNIS Super Spreader Seminar Series (SSSS) encourages Highly Qualified Personnel (HQPs, including postdocs, and graduate students), to present their research, promote their ideas, share their research experience, and establish connections among the various branches of the network. ☜E883B6
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230406 Incorporating Fear (Un)learning Mechanisms in IDM
230406 Incorporating Fear (Un)learning Mechanisms in IDM☜Seminar 10: Incorporating Fear (Un)learning Mechanisms in Infectious Disease Modeling (IDM). Speaker: Avneet Kaur, 6 April 2023☜E883B6
►
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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Entered by:-
David Price
NodeID:
#715805
Node type:
Event
Entry date (GMT):
12/3/2023 4:28:00 PM
Last edit date (GMT):
12/3/2023 4:29:00 PM
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