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23/11/13 Junling Ma
Document
1
#715359
Evaluating the effectiveness of contact tracing in Toronto during the early stage of the COVID-19 pandemic.
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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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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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23/11/13 Junling Ma
23/11/13 Junling MaâEvaluating the effectiveness of contact tracing in Toronto during the early stage of the COVID-19 pandemic.âB5ACA0
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Junling Ma »
Junling Ma
Junling MaâI 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.âFFFACD
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Contact tracing »
Contact tracing
Contact tracingââFFFACD
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Entrée par:
David Price
NodeID:
#715359
Node type:
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Date d'entrée (GMT):
11/16/2023 5:24:00 PM
Date de la derniĂšre modification (Heure GMT):
11/16/2023 5:24:00 PM
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