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22/03/28 COVID-19 Model Comparison Workshop
Event
1
#701013
To compare models, identify key unknown parameters, and determine how much they affect key outcomes.
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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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CANMOD »
CANMOD
CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9
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CANMOD – Training »
CANMOD – Training
CANMOD – 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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22/03/28 COVID-19 Model Comparison Workshop
22/03/28 COVID-19 Model Comparison Workshop☜To compare models, identify key unknown parameters, and determine how much they affect key outcomes.☜E883B6
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Research training »
Research training
Research training☜☜FFFACD
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Covid-19 »
Covid-19
Covid-19☜☜FFFACD
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[1]
COVID-19 Model Comparison Workshop
Author:
CANMOD
Publication date:
28 March 2022
Cited by:
David Price
10:33 AM 16 September 2022 GMT
URL:
https://debategraph.org/handler.ashx?path=ROOT%2fu2928%2fmod-comp-workshop.pdf&att=1
Excerpt / Summary
Purpose:
To compare models, identify key unknown parameters, and determine how much they affect key outcomes.
Q: What models?
A: Some participants will come with models.
Q: Which “key outcomes”?
A: Working groups will be formed according to interest.
Ideas: hospitalization in the coming months; infections in the coming months; immune profile of the population; optimal vaccination/booster policy; please send additional suggestions if there is something you are interested in.
Q: What key unknown parameters?
A: Comparing which parameters affect outcomes the most and why, identifying unknowns, and describing data needed to identify the parameters is the aim of the workshop
Who:
Modellers, epidemiologists and public health
researchers.
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Entered by:-
David Price
NodeID:
#701013
Node type:
Event
Entry date (GMT):
9/16/2022 10:28:00 AM
Last edit date (GMT):
9/16/2022 10:33:00 AM
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