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Imperial College London
Infectious Disease Modelling Specialization

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Imperial College London

Infectious Disease Modelling Specialization

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4.8

(271 reviews)

Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(271 reviews)

Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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

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Taught in English

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Specialization - 3 course series

Developing the SIR Model

Developing the SIR Model

Course 11 hour

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: Epidemiology
Category: Mathematical Modeling
Category: Infectious Diseases
Category: R Programming
Category: Differential Equations
Category: Public Health

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: R Programming
Category: Differential Equations
Category: Infectious Diseases
Category: Public Health
Category: Probability & Statistics
Category: Epidemiology
Category: Statistical Methods
Category: Data Modeling
Category: Statistical Modeling
Category: Mathematical Modeling
Building on the SIR Model

Building on the SIR Model

Course 39 hours

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聽

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

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

Skills you'll gain

Category: Infectious Diseases
Category: Epidemiology
Category: Simulations
Category: Statistical Modeling
Category: Mathematical Modeling
Category: Public Health
Category: R Programming
Category: Risk Modeling

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Instructor

Nimalan Arinaminpathy
Imperial College London
4 Courses13,411 learners

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