Imperial College London
Infectious Disease Modelling Specialization
Imperial College London

Infectious Disease Modelling Specialization

Taught in English

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(256 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Prepare for a degree

What you'll learn

  • Construct valid mathematical models capturing the natural history of a given infectious disease.

  • Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters

  • Use a calibrated model to create model projections for different intervention scenarios

  • Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

Skills you'll gain

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(256 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Prepare for a degree

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Specialization - 3 course series

Developing the SIR Model

Course 121 hours4.8 (259 ratings)

What you'll learn

  • Construct valid mathematical models capturing the natural history of a given infectious disease

  • Interpret compartmental models in terms of rates, proportions and delays

  • Describe the fundamental processes driving the dynamics of an SIR epidemic and show their relation to important concepts

  • Explain mechanisms by which susceptibility can change over time and develop a simple SIR model to account for these under given parameters

Skills you'll gain

Category: Mathematical Model
Category: Infectious Diseases

Interventions and Calibration

Course 224 hours4.7 (52 ratings)

What you'll 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.

Skills you'll gain

Category: Mathematical Model
Category: Infectious Diseases

Building on the SIR Model

Course 320 hours4.6 (21 ratings)

What you'll learn

  • Distinguish between stochastic and deterministic models, explain when either are appropriate, and perform simple simulations of a stochastic model

  • Identify where it is important to incorporate population structure in a model and design and simulate a transmission model capturing such structure 

  • Evaluate the assumptions behind the Ross MacDonald model, and code such a model using R to simulate the dynamics of a vector-borne disease 

  • Critically evaluate a modelling study and communicate its strengths and weaknesses to a scientifically literate audience 

Skills you'll gain

Category: Mathematical Model
Category: R Programming
Category: Infectious Diseases

Instructor

Nimalan Arinaminpathy
Imperial College London
4 Courses11,643 learners

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