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.
Este curso forma parte de Programa especializado: Infectious Disease Modelling
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Habilidades que obtendrás
Imperial College London
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
- 5 stars75 %
- 4 stars18,75 %
- 3 stars2,08 %
- 2 stars4,16 %
Principales reseñas sobre INTERVENTIONS AND CALIBRATION
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.
Acerca de Programa especializado: Infectious Disease Modelling
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.
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