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23/11/16 Lloyd Elliott Document1 #715377 Four applications of statistics to COVID-19 modelling.

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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 Lloyd Elliott23/11/16 Lloyd Elliott☜Four applications of statistics to COVID-19 modelling.☜B5ACA0

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Lloyd T. Elliott »Lloyd T. ElliottLloyd T. Elliott☜Assistant Professor, Statistics and Actuarial Science at Simon Fraser University.☜FFFACD

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Link[1] Four applications of statistics to COVID-19 modelling

Zitieren: Lloyd T. Elliott
Publication date: 16 November 2023
Zitiert von: David Price 9:53 PM 22 November 2023 GMT
URL:

https://debategraph.org/handler.ashx?path=ROOT%2fu2928%2fElliott-BIRS2023.pdf&att=1

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Eingabe von: David Price
NodeID: #715377
Node type: Document
Eingabedatum (GMT): 11/16/2023 8:45:00 PM
Zuletzt geändert am (GMT): 11/16/2023 8:46:00 PM
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