This is the schedule of lectures and practicals for the five days of the short course. For further details and materials explore the tabs Lectures and Practicals

Day 1: Introduction to R

Time     Session type     Title
9.30 – 9:45 AM     Introduction     Course introduction
9.45 – 10:45 AM     Lecture     Introduction to R (1)
10:45 – 11:15 AM     Break      
11:15 – 12:30 PM     Lecture     Introduction to R (2)
12:30 – 1:45 PM     Lunch break      
1:45 – 3:00 PM     Practical     Using R (1)
3:00 – 3:30 PM     Break      
3:30 – 4:30 PM     Practical     Using R (1)
             
             
             

Day 2: Introduction to modelling infectious disease

Time     Session type     Title
9.30 – 10:30 AM     Lecture     Introduction to modelling infectious diseases
10:30 – 11:00 AM     Break      
11:00 – 12:30 PM     Lecture     Basic concepts of compartmental models
12:30 – 1:45 PM     Lunch break      
1:45 – 3:00 PM     Practical     Demonstration of a simple compartmental model (1)
3:00 – 3:30 PM     Break      
3:30 – 4:30 PM     Practical     Demonstration of a simple compartmental model (2)
             
             
             

Day 3: The SIR model

Time     Session type     Title
9.30 – 10:30 AM     Lecture     The SIR model
10:30 – 11:00 AM     Break      
11:00 – 12:30 PM     Lecture     Understanding epidemic phases with an SIR model
12:30 – 1:45 PM     Lunch break      
1:45 – 3:00 PM     Practical     Building blocks of an SIR
3:00 – 3:30 PM     Break      
3:30 – 4:30 PM     Practical     Introducing transmission dynamics
             
             
             

Day 4: Stochastic models and assessing uncertainty

Time     Session type     Title
9.30 – 10:30 AM     Lecture     Introduction to stochastic models (1)
10:30 – 11:00 AM     Break      
11:00 – 12:30 PM     Lecture     Introduction to stochastic models (2)
12:30 – 1:45 PM     Lunch break      
1:45 – 3:00 PM     Lecture     Assessing model uncertainty and calibration
3:00 – 3:30 PM     Break      
3:30 – 4:30 PM     Practical     Explore stochasticity in a simple SIR model
             
             
             

Day 5: Applications of infectious disease models for public health

Time     Session type     Title
9.30 – 10:30 AM     Lecture     How do we model COVID-19?
10:30 – 11:00 AM     Break      
11:00 – 12:30 PM     Lecture     Other analytical methods to track epidemics
12:30 – 1:45 PM     Lunch break      
1:45 – 3:00 PM     Practical     Build a COVID-19 model(1)
3:00 – 3:30 PM     Break      
3:30 – 4:30 PM     Practical     Build a COVID-19 model(2)
4:30 – 5:00 PM     Closure     Closing remarks, Q&A, and certificates