Essentials of Infectious Disease Modelling and Economic Evaluation

An online short course

This course aims to cover the essentials of infectious disease modelling including economic evaluation. The course will provide attendees with the ability to start understanding modelling studies and working with modellers.

Course date 26 - 27 April 2021
Course fee £440
Course Organisers Dr Hannah Christensen, Dr Ellen Brooks Pollock, Dr Katy Turner & Dr Hannah Fraser

Prerequisites

Please ensure you meet the following prerequisites before booking:

Knowledge Ability to use Microsoft Excel software.
Software Access to a laptop or desktop computer for the duration of the course (joining by mobile/ tablet would insufficient)
Ability to download and install R software (for statistical computing and graphics) to the laptop/desktop prior to starting the course.

Course format

Teaching will be delivered online over 2 full days (between 9 and 5pm). Sessions will include a mixture of live and pre-recorded lectures, live group work sessions and allocated time for guided individual tasks.

Course objectives

By the end of the course you should be able to:
 
  1. understand what infectious disease models are and when they can be used;
  2. be able to actively collaborate with modellers;
  3. run a simple infectious disease model using pre-written code and adapt the model;
  4. interpret basic reproduction numbers;
  5. understand the principles of vaccination and herd protection;
  6. critically appraise published infectious disease models;
  7. understand how to incorporate economic evaluation into infectious disease models.

Who the course is intended for

The course is intended for epidemiologists, public health specialists, policy makers and healthcare professionals who work in the area of infectious diseases (human and animal health).

Although the computer practical will be in the programming language R, no knowledge of R is assumed.

Course outline

Topics to be covered include:

  1. what models are used for mechanistic versus static models;
  2. examples of models;
  3. components of a simple Susceptible-Infected-Recovered model;
  4. the basic reproduction number;
  5. model parameters;
  6. designing a model;
  7. converting a model sketch into equations;
  8. simulating a model using the programming language R;
  9. criteria for disease control;
  10. principles of disease control through vaccination;
  11. using models for economic evaluation.

Online Course Bookings


Bookings are open for online courses running in 2021.

All who taught on the course were friendly, approachable and passionate about their field, which was inspiring to see. I now have a much better understanding of what modellers do and the work involved in running models

Course feedback, May 2019

Coronavirus (COVID-19)

We may need to make responsive changes to our courses at short notice in order to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

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