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SISMID 2021 Modules
July 7
to
July 9
Module 1: Probability and Statistical Inference
Instructors:
James Hughes
;
Zoe Moodie
Module 2: Mathematical Models of Infectious Diseases
Instructors:
Micaela Martinez
;
Marc Lipsitch
Module 3: Introduction to R
Instructors:
Ken Rice
;
Ting Ye
Module 4: Reconstructing Transmission with Genomic Data
Instructors:
Caroline Colijn
;
Jessica Stockdale
July 12
to
July 14
Module 5: Spatial Statistics in Epidemiology and Public Health
Instructors:
Jonathan Wakefield
;
Lance Waller
Module 6: Stochastic Epidemic Models with Inference
Instructors:
Tom Britton
;
Ira Longini, Jr
Module 7: Simulation-Based Inference for Epidemiological Dynamics
Instructors:
Aaron King
;
Edward Ionides
July 14
to
July 16
Module 8: MCMC I for Infectious Diseases
Instructors:
Kari Auranen
;
M. Elizabeth Halloran
;
Volodymyr Minin
Module 9: Contact Network Epidemiology
Instructors:
Shweta Bansal
;
Thomas Hladish
;
Joel Miller
Module 10: Infectious Diseases, Immunology and Within-Host Models
Instructors:
Andreas Handel
;
Paul Thomas
July 19
to
July 21
Module 11: MCMC II for Infectious Diseases
Instructors:
Theodore Kypraios
;
Philip O'Neill
Module 12: Statistics and Modeling with Novel Data Streams
Instructors:
Mauricio Santillana
;
Alessandro Vespignani
Module 13: Pathogen Evolution, Selection, and Immunity
Instructors:
Trevor Bedford
;
Sarah Cobey
July 21
to
July 23
Module 14: Evolutionary Dynamics and Molecular Epidemiology of Viruses
Instructors:
Julia Palacios
;
Nicola Mueller
Module 15: Microbiome Data Analysis
Instructors:
Alexander Alekseyenko
;
Paul McMurdie
Module 16: Causal Inference
Instructors:
Thomas Richardson
;
Michael Hudgens