This course type is computational

Mathematical Models for Infectious Disease Dynamics

22 February - 04 March 2016Wellcome Genome Campus, Hinxton, UK
Deadlines (at 23:59 UTC):
  • Application Deadline Closed

  • Summary

    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 computational course 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.

    Feedback from the 2015 course
    “It’s a very interesting and very useful course, it opend a window
    for me in the fields of studying the dynamics of infectious disease”

    “Thank you for providing this excellent course with an outstanding group
    of instructors and a very diverse body of attendees! I enjoyed it a lot
    and benefitted tremendously!”
    “I just wanted to say many thanks to the instructors, organisers, and
    tutors for a fantastic experience. I learnt a lot, I met many interesting
    people, and overall had a splendid time. Thumbs up!”
    Thanks again to each of the instructors that made of this course a great
    experience. Without their dedication and patience the course could have
    been a frustrating experience as the material is a real challenge. But
    instead, with their help it was surprisingly enjoyable.”

  • Programme

    The programme will cover introductory and advanced concepts in mathematical modelling of infectious diseases, including:

    • Mathematical review (calculus, probability…)
    • Population dynamics
    • Deterministic and stochastic models
    • Modelling structured populations: Age-structured, Spatial and Network models
    • Applied programming with R
    • Statistical modelling
    • Computer-based simulations
    These basic concepts 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. 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.

    On completion, course participants can expect to understand the general principles, assumptions and basic techniques used in mathematical models for infectious diseases, read scientific articles that include mathematical models, appreciate the value and limits of mathematical models in their own field, explore the behaviour of simple models themselves, and engage in collaborations with mathematical modellers.

  • Instructors / Speakers

    Course instructors
    Andrew Conlan University of Cambridge, Department of
    Veterinary Medicine, UK
    Cerian Webb University of Cambridge, Department of
    Veterinary Medicine, UK
    TJ McKinley College of Engineering, Mathematics and
    Physical Sciences, University of Exeter, UK
    Nik Cunniffe University of Cambridge, Department of
    Plant Sciences, UK
    Matt Castle University of Cambridge, Department of Plant
    Sciences, UK
    Ellen Brooks Pollock School of Social and Community
    Medicine, University of Bristol, UK
    Leon Danon School of Social and Community Medicine,
    University of Bristol, UK

    Guest speakers
    Christl Donnelly Imperial College London, UK

    John Edmunds
    London School of Hygiene and Tropical Medicine,
    Mario Recker University of Exeter, UK
    James Wood University of Cambridge, UK

  • How to Apply

    The course is aimed at life scientists, public health officers and
    medical or veterinary professionals with an interest in quantitative
    approaches to infectious disease dynamics and control in humans or
    Applicants are typically educated to a minimum of A or AS level in
    mathematics and should include details of their maths education, as well
    as any previous experience using R or other scientific software, in the

    course is subsidised by the Wellcome Genome Campus Advanced Courses
    and Scientific Conferences Programme. This is a residential
    course and
    there is a fee of £1045 towards board and lodging for non-commercial
    applicants. Please contact us for the commercial fee.

    Applications for this course can now be completed online. If you have any
    problems with the online application process, please contact us.

    Please note: Applications
    must be supported by a
    recommendation from a scientific or clinical sponsor (e.g. supervisor or
    head of department). A request for a supporting
    statement will be sent
    to your nominated sponsor automatically during
    the application process.
    Applicants must ensure that their sponsor
    provides this supporting
    statement by the application deadline. Applications without a supporting
    statement cannot be considered.

    Deadline for Applications: Closed

  • Bursaries

    Advanced Courses are subsidised for non-commercial
    applicants from anywhere in the world. Limited bursaries are
    (up to 50% of the course fee) and are awarded on merit. If you would like
    to apply for a
    bursary, please complete the bursary section of the
    online application

    Please note that both the applicant
    and sponsor are required to provide
    a justification for the
    bursary as part of the application.

    Bursary terms and conditions

    UK Courses (held at the Wellcome Genome Campus, Hinxton,
    limited number of bursaries are available for each course. These are
    awarded by the selection committee according to merit. The bursary
    covers a maximum of 50% of the course fee, though in exceptional
    circumstances an application for the total course fee may be considered.
    Where there are many bursary applications, the selection committee may
    issue smaller amounts. We cannot assist with travel costs to attend UK

    Overseas Courses (held outside of the UK)
    limited number of bursaries are available for each course. These are
    awarded on merit to cover travel, accommodation and sustenance. The
    maximum award for travel (economy class) will be £750.

    Bursaries can be applied for as part of the course application form.
    will be notified of a bursary award along with their place on
    course, usually within one month of the application deadline. The
    decision of the selection committee is