Agenda

The course combines in-class instruction with small-group exercises. Case studies will be introduced on the first day and will be completed during the week in small groups with a teaching assistant.

Case studies topics may include:

• Identifying priority groups for COVID-19 vaccination
• Risk of cancer progression and cost-effectivenes
• Evaluation of typhoid conjugate vaccine delivery strategies
• Cost-effectiveness of HIV treatment strategies
• Strategies to mitigate an mpox outbreak on a college campus

6:30-9:00 p.m. - Welcome reception

8:30-9:00 a.m. - Welcome and introductions

9:00-10:30 a.m. - Turning mechanistic ideas into models

10:30-11:00 a.m. - BREAK

11:00-12:00 p.m. - Computational tools for modeling (parallel R sessions)

• Beginner R
• Intermediate/advanced R

12:00-12:15 p.m. - Introduction to case studies

12:15-1:30 p.m. - Lunch

1:30-5:00 p.m. - Breakout group work on case studies

8:30-8:45 a.m. - Recap of Day 1

8:45-9:30 a.m. - Model construction

9:30-10:30 a.m. - Model parameterization

10:30-11:00 a.m. - BREAK

11:00-11:30 a.m. - Deterministic, stochastic, and network-based models

11:30-12:15 p.m. - Computational tools for modeling with ordinary differential equations

12:15-1:30 p.m. - Lunch

1:30-5:00 p.m. - Breakout group work on case studies

8:30-8:45 a.m. - Recap of Day 2

8:45-10:00 a.m. - Cost-effectiveness analysis

10:00-10:30 a.m. - BREAK

10:30-11:30 a.m. - Uncertainty analysis

11:30-12:30 p.m. - Optimal decision-making in public health

12:30-1:30 p.m. - Lunch

1:30-5:00 p.m. - Breakout group work on case studies

7:00-9:00 p.m. - Special dinner (Atelier Florian, 1166 Chapel St)

8:30-8:45 a.m. - Recap of Day 3

8:45-10:30 a.m. - Time series models

10:30-11:00 a.m. - BREAK

11:00-12:30 p.m. - Evaluation of the impact of interventions

12:30-1:30 op.m. - Lunch

1:30-5:00 p.m. - Breakout group work on case studies

8:30-8:45 a.m. - Recap of Day 4

8:45-10:30 a.m. - Presentation of case studies

10:30-11:00 a.m. - BREAK

11:00-12:15 p.m. - Estimation of R0 and Rt

12:15-1:30 p.m. - Lunch

1:30-2:45 p.m. - Model fitting and prediction

2:45-3:00 p.m. - Closing remarks