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Lectures 9 & 10: Propagating Uncertainty
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2023 AARMS-EIDM Summer School, Lectures 9 & 10 "Propagating Uncertainty" by Amy Hurford as part of Course 2. Data, models, and decision support.
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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 »
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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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23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases »
23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases
23/08/19 AARMS-EIDM Summer School on Modelling Infectious DiseasesâOrganizer: Dr. A. Hurford, Dates: August 19-31, 2023, Venue: Bonne Bay Aquarium and Research Station (BBARS), Newfoundland and Labrador (NL).The AARMS-EIDM Short Summer School on Modelling Infectious Diseases aims to fulfil a deliverable listed in the Atlantic Association for Research in the Mathematical Sciences (AARMS) support letter for 3 networks in the Emerging Infectious Disease Modelling Initiative (EIDM) Consortium: to run an AARMS summer school.âE883B6
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2023 Summer School in EIDM Course 2: Data, models and decision support »
2023 Summer School in EIDM Course 2: Data, models and decision support
2023 Summer School in EIDM Course 2: Data, models and decision supportâThis course teaches the technical skills to parameterize dynamical systems models in ecology and evolution and quantify prediction uncertainty. The course examines case studies to understand the use of models in decision support.âE883B6
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Lectures 9 & 10: Propagating Uncertainty
Lectures 9 & 10: Propagating Uncertaintyâ2023 AARMS-EIDM Summer School, Lectures 9 & 10 Propagating Uncertainty by Amy Hurford as part of Course 2. Data, models, and decision support.âE883B6
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Amy Hurford »
Amy Hurford
Amy HurfordâAmy Hurford is an Associate Professor jointly appointed in the Department of Biology and the Department of Mathematics and Statistics at Memorial University of Newfoundland and Labrador. âFFFACD
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Lectures 7 & 8: Propagating Uncertainty - Slides
En citant:
Amy Hurford
Publication date:
26 August 2023
Cité par:
David Price
3:27 PM 18 February 2024 GMT
URL:
https://debategraph.org/handler.ashx?path=ROOT%2fu2928%2fPropagating_Uncertainty.pdf&att=1
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David Price
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#718062
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Date d'entrée (GMT):
2/18/2024 3:25:00 PM
Date de la derniĂšre modification (Heure GMT):
2/18/2024 3:34:00 PM
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