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This 5-day course is aimed at participants with a basic understanding of infectious disease modelling and an aptitude for the R programming language. On completion participants will be able to write and analyse the dynamics of a simple mathematical model and use it to consider cost and intervention scenarios. The course is held at St Anne’s College, Oxford.

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Overview

Mathematical modelling is being used with increasing frequency and scope to address questions about infectious diseases both in terms of basic science and in terms of national and international policy-making. Mathematical modellers arrive at the discipline from STEM (science, technology, engineering and mathematics), clinical and other backgrounds. Mathematical modelling is an interdisciplinary activity which benefits from the broad skills and experience base of its practitioners.

This course provides basic practical skills which establish a foundation for further research or facilitate critical appraisal of mathematical modelling appearing in the scientific and grey literature. A typical student will have studied the basics of infectious disease modelling and will have some preliminary (online or otherwise) training or aptitude in the R programming language.

Learning outcomes

MMID equationBy the end of the course, participants will be able to: 

  • write a simple mathematical model that is appropriate for a specific infectious disease and related research question
  • analyse the dynamics of the model
  • use the model to consider varying cost and intervention scenarios

In this video, Professor Lisa White and colleagues from MORU and CTMGH explain how mathematical modelling can help us fight infectious diseases.

Programme schedule

Morning

Afternoon

Evening

Monday 23/9

Introduction to modelling

Writing a model with a pencil

Introductory dinner

Tuesday 24/9

R basics part 1

R basics part 2

Free evening

Wednesday 25/9

Compartmental modelling

Fitting models

Free evening

Thursday 26/9

Equilibrium analysis

Modelling interventions

Course Dinner

Friday 27/9

Economic modelling

R-Shiny

Participants leave

Please note that participants will need use of a laptop for the duration of the course. Please contact Judy Irving  if you have any queries.

Course Fee Packages

Residential rate

Application deadline 17 July 2019 - £3,500.00 per person

The residential package covers:

  • Course registration and materials
  • 5 nights’ bed and breakfast accommodation in a single occupancy en-suite room at the course venue, St Anne’s College, University of Oxford
  • Lunch Monday to Friday and dinner on Monday and Thursday evenings

Accommodation is offered from Sunday 22nd September to Thursday 26th September. If participants wish to stay on in Oxford on Friday 27th September, alternative accommodation arrangements will need to be made.

Early Bird residential rate

Application deadline: 1st June 2019 - £3,000.00 per person

Payment deadline: 16th June 2019

Non-residential rate

Application deadline 17th July 2019 - £3,000.00 per person

The non-residential package includes all of the above, apart from accommodation and breakfast.

For details of discounts on bulk registrations, please contact Judy Irving

Application Process

Spaces are limited so please apply early to avoid disappointment.

Complete the online form. The organisers will review your completed form and, if your application is successful, you will be contacted by email to complete the registration process and pay the course fee.

Please address any queries to Judy Irving

Planning Travel

Travel arrangements: Participants are responsible for arranging and funding their own travel and local transfers to and from Oxford. Please do not book travel until you have received confirmation of a place on the course.

Arrival: we strongly recommend that you arrive on Sunday 22nd September to ensure a prompt start on the morning of Monday 23rd September.

Visas and Insurance: Once accepted on the course, please make your own arrangements for an entry visa (if required) and arrange travel insurance cover. On request we will provide a letter to support a UK visa application.

Please note that visa and insurance costs are NOT included in the course registration fee and will not be reimbursed.

In case of cancellation no refund will be given after 30th July 2019

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