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23/11/14 Mikael Jagan
Document
1
#715363
Estimating phenomenological epidemic models with mixed effects.
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EIDMâ »
EIDMâ
EIDMââThe Emerging Infectious Diseases Modelling Initiative (EIDM) â by the Public Health Agency of Canada and NSERC â 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]âF1CEB7
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Networks »
Networks
NetworksâLearn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.â79B9B9
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CANMODâ »
CANMODâ
CANMODââCANadian Network for MODelling infectious Disease / RĂ©seau CANadien de MODĂ©lisation des maladies infectieusesâ79B9B9
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CANMOD â Training »
CANMOD â Training
CANMOD â TrainingâWe are building expertise amongst the next generation of infectious disease modellers, and preparing them for careers in academia, industry, and the public sector.âAECCD8
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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 StepsâThe 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).âE883B6
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23/11/14 Mikael Jagan
23/11/14 Mikael JaganâEstimating phenomenological epidemic models with mixed effects.âB5ACA0
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Mikael Jagan »
Mikael Jagan
Mikael JaganâMikael is a Research Assistant in the Department of Mathematics & Statistics at McMaster University.âFFFACD
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Eingabe von:
David Price
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#715363
Node type:
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Eingabedatum (GMT):
11/16/2023 5:31:00 PM
Zuletzt geÀndert am (GMT):
11/16/2023 5:32:00 PM
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