Mathematical Modelling of Infectious Diseases: Short Course
Mathematical modelling was used by policy-makers like never before during the early stages of the COVID-19 pandemic, and continues to be used by governments to guide vaccination strategies, border closures, physical distancing measures and other policies. The need for people with cross disciplinary skills is growing and this course aims to provide an introduction to the discipline which is hands-on and practical.
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 modelling short course provides basic practical skills in coding in addition to understanding transmission dynamics which establish a foundation for further research or facilitate critical appraisal of mathematical modelling. 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.
The course will focus on COVID-19 but will help develop generic skills in infectious diseases modelling, provide a basic introduction to the R programming language and teach some of the tools of Bayesian inference, including Markov Chains and Monte Carlo.
The course will be held in Townsville and online and is aimed at participants with a basic understanding of infectious disease modelling and some basic programming skills.
What sets this course apart is that we use R, a freely available language and environment for statistical computing and graphics.
Your teachers come from diverse backgrounds including physicians, physicists, ecologists and health-economists. The teachers of the course have developed the material over the last several years and provided short courses across Australia, in Thailand and at Oxford University.
Professor Emma McBryde: Infectious Diseases Physician, Mathematical Modeller
Dr Michael Meehan: Physicist, Infectious Diseases Modeller
A/Prof Roslyn Hickson: Science Leader for Emerging Infectious Diseases
Dr Anton Pak: Econometrician, Health Economist
Dr Jamie Caldwell: Infectious Disease Ecologist and Mathematical Modeller
Mr Samson Ogunlade and Mr Abdul Kuddus: PhD scholars, Disease Modellers
Registration for the 5-day course is $880 which includes:
- Course registration and materials
- Lunch Monday to Friday, for those attending on-site in Townsville
Upon successful completion of the course, students will receive a certificate of completion from the Australian Institute of Tropical Health and Medicine (AITHM).
Scholarship Funding and Application Details
All applicants should contact the course organisers via email to express interest in attending either in person or online.
AITHM is offering 10 scholarships for course fees for the short course, particularly aimed at students and self-employed wishing to attend the course in person. Funding will be provided to cover course registration fees only.
This offer is part of a competitive scheme run through the AITHM and students must provide a CV and 200 word (max) cover letter outlining their reason for applying for funding and how the successful completion of this course will contribute to their current studies and future career aspirations.
Applications and information submitted to: email@example.com
EOI deadline: 10th June 2021
Payment deadline: 30th June 2021