Compartmental modelling is a cornerstone of mathematical modelling of infectious diseases and this course will introduce some of the basic concepts in building compartmental models, including how to interpret and represent rates, durations and proportions. You'll learn to place the mathematics to one side and concentrate on gaining intuition into the behaviour of a simple epidemic, and be introduced to further basic concepts of infectious disease epidemiology, such as the basic reproduction number (R0) and its implications for infectious disease dynamics. To express the mathematical underpinnings of the basic drivers that you study, you'll use the simple SIR model, which, in turn, will help you examine different scenarios for reproduction numbers. Susceptibility to infection is the fuel for an infectious disease, so understanding the dynamics of susceptibility can offer important insights into epidemic dynamics, as well as priorities for control.
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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.
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- 3 stars0,42 %
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Meilleurs avis pour DEVELOPING THE SIR MODEL
A very good course. The right balance between epidemiology knowledge and developer skills. Video lessons were short and lucid. R orientation and notebooks were great.
This is a wonderful course it helped me a lot in understanding basic and advance concepts of infectious disease modeling.
This is the first coursera course I have done, excellent materials and clear explanations from the lecturers. I can't wait to have a look at the next part of the course!
The coding exercises were very worthwhile. I felt the videos were too short, and the readings should have been textbook chapters that focused on fundamentals.
À propos du Spécialisation 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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