- Seminars
- Advanced mathematical applications to infectious disease: numerical and statistical methods, data-driven approaches, and beyond
Advanced mathematical applications to infectious disease: numerical and statistical methods, data-driven approaches, and beyond
Speaker
Alexander Viguerie -
Date
May 29, 2023 - Time:
13:30
Abstract:
This program provides a comprehensive four-day exploration of epidemiological modeling and analysis. Participants will learn about compartimental models, R₀/R_t analysis, probability, and statistics. They will also address the limitations of basic models, handle uncertainty through Monte Carlo simulations, and construct posterior distributions. The program goes beyond epidemic prediction, covering incidence estimation, survival analysis, and parameter inference. Participants will also learn regression techniques, Koopman analysis, and Dynamic Mode Decomposition. Practical coding demonstrations accompany the learning process, ensuring participants gain valuable skills in disease dynamics analysis
Schedule:
- Monday 29/05, 13:30-15:30, Aula H
- Tuesday 30/05, 10:30-12:30, Aula G
- Wednesday 31/05, 13:30-15:30, Aula H
- Thursday 01/06, 13:30-15:30, Aula T.03 (Ca' Vignal 3)
- Data pubblicazione
- May 24, 2023
- Contact person
- Giacomo Albi
- Department
- Computer Science