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23/11/16 Jane Heffernan Document1 #715381 Multiscale modelling of COVID-19 immunity

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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 »NetworksNetworks☜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 – TrainingCANMOD – 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 Steps23/11/12 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 Jane Heffernan23/11/16 Jane Heffernan☜Multiscale modelling of COVID-19 immunity☜B5ACA0

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Jane Heffernan »Jane HeffernanJane 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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Immunology »ImmunologyImmunology☜☜FFFACD

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Προστέθηκε από:- David Price
NodeID: #715381
Node type: Document
Ημερ/νία δημιουργίας(GMT): 11/16/2023 10:05:00 PM
Ημερ/νία τελευτ. επεξεργασίας(GMT time): 11/16/2023 10:07:00 PM
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