This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Performing such a calibration by hand will help you gain an understanding of how model parameters can be adjusted in order to capture real-world data. Lastly in this course, you will learn about two simple approaches to computer-based model calibration - the least-squares approach and the maximum-likelihood approach; you will perform model calibrations under each of these approaches in R.
- 5 stars75%
- 4 stars18.75%
- 3 stars2.08%
- 2 stars4.16%
INTERVENTIONS AND CALIBRATION からの人気レビュー
Very useful course.. I have learnt many things useful for my career
This builds on excellently from the first course. The transition is seamless, and the final modelling project was super fun.
Excellent course videos, content, assignment quiz. Received very good support from instructor and other members/ learners on discussion forum.
Such a great learning experience. The course provided me with a comprehensive overview of the topics under concern. My gratitude to the instructors for creating such a valuable course.
Infectious Disease Modelling専門講座について