This course type is computational

Mathematical Models for Infectious Disease Dynamics

13 - 24 February 2017Wellcome 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 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.

    Feedback from the 2016 course:

    • “I want to thank all of those involved organizing this wonderful course and I encourage you to keep bringing this top level science to the developing world.”
    • “Special thanks to each of the instructors for being so attentive and making themselves approachable. Their commitment was obvious and appreciated.”
    • “The experience taken from this course it is going to be of major relevance to my research but also to my personal career. It was great to have contact with such an amazing group of lectures and see their passion of their research and availability to teach, very inspirational. Just have to say thank you all!!”
    • “This course was undoubtedly of high quality and lecturers have a great teaching skill. Lectures were extremely well organised and were able to show us how an understanding on the detailed maths covered in this course is helpful to use disease models. Lectures on statistical inference also explained, in a very clear manner, topics that are important but not easy to approach by many epidemiologists. I would like to thank all the lectures and organisers once again!!”
    • “Fantastic course with brilliant instructors. Allowed me to crystalise my modeling plans and introduced me to a large number of learning materials to utilise in the future.”
  • 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 estimation of models
    • Computer-based simulations

    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
  • Instructors / Speakers

    Course instructors
    Andrew
    Conlan
    University
    of Cambridge, Department of Veterinary Medicine, UK
    Cerian
    Webb
    University
    of Cambridge, Department of Plant Sciences, 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
    John
    Edmunds
    London
    School of Hygiene and Tropical Medicine, UK
    Azra Ghani
    Imperial College London, UK
    Daniel
    Streicker

    University of Glasgow, UK
    Caroline
    Trotter
    University
    of Cambridge, UK

  • How to Apply

    Prerequisites
    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
    animals.
    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
    application.

    Cost
    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 £1065 towards board and lodging for
    non-commercial applicants. Please contact us for the commercial fee.

    Additional limited bursaries are available (up to 50%
    of the course fee)
    and are awarded on merit. Please see the “Bursaries”
    tab for details.

    Applications
    Applications for this course can 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.

    Deadlines
    Deadline for Applications: Closed

    Travel visas
    Please contact the
    event organiser if you require a letter to support a
    travel visa
    application. Note that letters will be provided to confirmed
    attendees.

    Non-European Economic Area or Swiss nationals may be required to have a
    visa to enter the UK.
    Early application is strongly advised, as this process can take 6-8 weeks
    or longer.

    Please visit the following websites for further information:
    UK Border Agency website and information for general visitors and business
    visitors.

  • Cost / Bursaries

    Cost
    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 £1065 towards board and lodging for
    non-commercial applicants. Please contact us for the commercial fee.

    Bursaries
    Advanced Courses are subsidised for non-commercial
    applicants from anywhere in the world. Additional, limited bursaries are
    available (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
    form.

    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,
    Cambridge)
    A
    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
    courses.

    Overseas Courses (held outside of the UK)
    A
    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.
    Applicants
    will be notified of a bursary award along with their place on
    the
    course, usually within one month of the application deadline. The
    decision of the selection committee is
    final.