Over the last two decades, mathematical models have seen a huge development in all aspects of infectious diseases, from microbiology to epidemiology and evolution. Professionals in these fields are now exposed to a wide range of models, often without receiving appropriate training.

This intensive, two-week course combines lectures, discussions and hands-on computational practicals and is aimed at any life scientist, public health officer, or medical or veterinary professional with an interest in quantitative approaches to infectious disease dynamics and control in humans or animals.

The basic concepts of the course are applied largely to human infectious disease systems, with reference to more general applications in wildlife, livestock and plant systems. The course has a strong emphasis on building practical skills using the programming software R and RStudio.

The course starts with an introduction to computer programming from first principles, but participants who are not familiar with R are encouraged to learn the language basics (data analysis, vector manipulation and graphics) before attending. Please note: The course is not aimed at scientists with extensive experience in modelling or with a strongly theoretical background. Applicants whose research project involves the use of models or interactions with modellers will be selected in priority.

Learning outcomes:
After attending this course, participants will be able to:

  • design, implement and estimate simple epidemic models
  • better appreciate the value and limits of mathematical models in their own field
  • more fully understand and apply knowledge from scientific articles that include mathematical models
  • explore the behaviour of simple models
  • engage more effectively in collaborations with mathematical modellers

Feedback from the 2017 course

  • "This is a fantastic course, there are no others like it of this quality, duration or intensity. The tutors invested significant effort with course participants beyond anything I have experienced prior and I would highly recommend this course to anyone interested in designing mathematical models for infectious diseases."
  • "I want to say a big thank you too all the lecturers and organisor. This was one of the best couses I have ever attended."
  • "I would like to thank all the instructors for this opportunity. I am feeling really confident to keep studying and improving my skills in this area. All this content seemed unreachable before this course, and today I believe that I am a much better researcher than I was before."
  • "Course Tutors were great and took every opportunity to spend time with participants to cover material."
  • "I was very impressed with the dedication and wealth of material in this course."
  • "I felt that the course was very well delivered by all involved and has provided me with the needed knowledge for my
  • project."
  • "Thank you for the opportunity to attend this course. It has given me a deeper understanding of wide applications of mathematical models, much needed training in programming with R and boost up my enthusiasm for my work."
Application Deadline:
10 November 2017


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(or call us: +44 (0)1223 496910)