Introduction to Mathematical Models of the Epidemiology & Control of Infectious Diseases - Imperial College, London

  • When:  16 - 27 September 2013
  • Location:  Imperial College London, St Marys Campus, London, W2 1PG,UK

With infectious diseases frequently dominating news headlines, public health and pharmaceutical industry professionals, policy makers, and infectious disease researchers, increasingly need to understand the transmission patterns of infectious diseases, to be able to interpret and critically-evaluate both epidemiological data, and the findings of mathematical modelling studies. Recently there has been rapid progress in developing models and new techniques for measurement and analysis, which have been applied to outbreaks and emerging epidemics, such as SARS, avian influenza or pandemic influenza. A simple but powerful new technique for assessing the potential of different methods to control an infectious-disease outbreak was recently developed by course presenters.

Since 1990, this course has "demystified" mathematical modelling and kept public-health professionals, policy makers, and infectious disease researchers up-to-date with what they need to know about this fast-moving field, taught by individuals who are actively engaged in research and who advise leading public health professionals, policy-makers, governments, international organisations and pharmaceutical companies, both nationally and internationally, including on pandemic influenza, SARS, HIV, foot-and-mouth disease.

Course participants require only a very basic mathematical ability, as the fundamental principles of infectious-disease transmission behaviour are simple to grasp. Cost: £1950 before 30th June 2013, £2250 after.

See http://www.infectiousdiseasemodels.org/ for more information.

Story tags: 

Please tell us what you think about this website !

What do you think of the Edinburgh Infectious Diseases website?  We would be very grateful if you could spare 2 minutes to help us improve the useability and look of our pages. Thank you for your help !