SISMID 2023 Modules

July 10 to July 12

Module 1: Probability and Statistical Inference
Instructors:
Annalise Paaby; Toyya Pujol
Module 2: Mathematical Models of Infectious Diseases
Instructors:
Micaela Martinez; Matt Ferrari
Module 3: Introduction to R
Instructors:
Ken Rice; Ting Ye

July 12 to July 14

Module 4: Evolutionary Dynamics and Molecular Epidemiology of Viruses
Instructors:
Julia Palacios; Nicola Mueller
Module 5: Stochastic Epidemic Models with Inference
Instructors:
Tom Britton; Ira Longini, Jr
Module 6: Contact Network Epidemiology
Instructors:
Shweta Bansal; Joel Miller

July 17 to July 19

Module 7: Reconstructing Transmission with Genomic Data
Instructors:
Caroline Colijn; Jessica Stockdale
Module 8: MCMC I for Infectious Diseases
Instructors:
Kari Auranen; M. Elizabeth Halloran; Volodymyr Minin
Module 9: Spatial Statistics in Epidemiology and Public Health
Instructors:
Lance Waller; Howard Chang
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: Pathogen Evolution, Selection, and Immunity
Instructors:
Trevor Bedford; Sarah Cobey
Module 13: Statistics and Modeling with Novel Data Streams
Instructors:
Mauricio Santillana; Alessandro Vespignani

July 24 to July 26

Module 14: Simulation-Based Inference for Epidemiological Dynamics
Instructors:
Aaron King; Edward Ionides
Module 15: Microbiome Data Analysis
Instructors:
Alexander Alekseyenko; Michael Wu
Module 16: Causal Inference
Instructors:
Michael Hudgens; Thomas Richardson