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.
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- 5 stars75%
- 4 stars18.75%
- 3 stars2.08%
- 2 stars4.16%
來自INTERVENTIONS AND CALIBRATION的熱門評論
Very useful course.. I have learnt many things useful for my career
Final quiz was tough but all in all an excellent course!
Good content but some exercises and final quiz are designed poorly that sometimes don't even test your learning.
A great learning experience, have to struggle a lot for the quiz, But in the end it helps to get better understanding of the concept and practice.
關於 Infectious Disease Modelling 專項課程
Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today.