1 months
Duration
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About

This Interventions and Calibration course offered by Coursera in partnership with Imperial College London is part of the Infectious Disease Modelling Specialization.

Visit the official programme website for more information

Overview

This Interventions and Calibration course offered by Coursera in partnership with Imperial College London 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.

What you will learn

  • Identify the relationship between models and real-world epidemiological data
  • Incorporate treatment or vaccination into an SIR model, accounting for imperfect efficacy, and for different mechanisms of action
  • Perform simple calibrations of an SIR model against time-series data, selecting parameters to maximise the fit of the model to the data
  • Recognise two simple approaches to computer-based model calibration and perform model calibrations under each of these approaches in R.

Programme Structure

Courses include:

  • Modelling Interventions
  • Confronting Models with Data - Part A
  • Confronting Models with Data - Part B
  • Confronting models with data – Part C

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Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Interventions and Calibration
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