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Lecture 8: Stochastic epidemiological models
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#717717
2023 AARMS-EIDM Summer School, Lecture 8 "Stochastic epidemiological models" by Julien Arino as part of Course 1: Mathematical Epidemiology.
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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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CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9
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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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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 Diseases☜Organizer: 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.☜E883B6
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2023 Summer School in EIDM Course 1: Mathematical Epidemiology »
2023 Summer School in EIDM Course 1: Mathematical Epidemiology
2023 Summer School in EIDM Course 1: Mathematical Epidemiology☜This course covers different formulations and analyses of epidemiological models. Topics include host heterogeneity, multiple pathogens, spatial spread, within-host dynamics, and zoonotic spillover.☜E883B6
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Lecture 8: Stochastic epidemiological models
Lecture 8: Stochastic epidemiological models☜2023 AARMS-EIDM Summer School, Lecture 8 Stochastic epidemiological models by Julien Arino as part of Course 1: Mathematical Epidemiology.☜E883B6
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Julien Arino »
Julien Arino
Julien Arino☜Professor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.☜FFFACD
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Markov chain☜Markov chain Monte Carlo methods (McMC)☜FFFACD
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Lecture 8: Stochastic epidemiological models - Slides
Συγγραφέας:
Julien Arino
Publication date:
24 August 2023
Παρατέθηκε από:
David Price
1:23 AM 14 February 2024 GMT
URL:
https://ahurford.github.io/aarms-summer-school/2023-08-24-AARMS-stochastic.html
Απόσπασμα-
Outline:
• Why stochasticity matters
• Side note: sojourn / residence times
• Discrete time Markov chains
• Continuous time Markov chains
+About
- About
Προστέθηκε από:-
David Price
NodeID:
#717717
Node type:
Event
Ημερ/νία δημιουργίας(GMT):
2/14/2024 1:21:00 AM
Ημερ/νία τελευτ. επεξεργασίας(GMT time):
2/14/2024 1:34:00 AM
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