Introduction to Mathematical Models of the Epidemiology and Control of Infectious Diseases
An Interactive Short Course for Public Health Professionals, since 1990
In 2011 50 CME credits were awarded for this course
10 – 21 September 2012
Course Details
- Duration: 10 days
- Fees:
£1950 before 30 June 2012
£2250 after 30 June 2012 - Optional Free Maths refresher day: Sunday 9 September 2012
- Optional Free Excel refresher day: Sunday 16 September 2012
- Stage I: Apply for acceptance on the course
- Stage II: Register Online (for those accepted on the course)
Directed by Prof Christophe Fraser, Dr Anne Cori and Dr John Marshall
Department of Infectious Disease Epidemiology, Imperial College London
Provisional Topics
Core Topics
Introduction of the fundamental principles, including basic model structures for different diseases. How model equations are constructed to reflect biology (e.g. modes of transmission, whether immunity occurs or not). How age structure and heterogeneity in risk behaviour or disease susceptibility are incorporated. How the basic reproduction number is calculated. Stochastic and spatially-explicit models are also explained.
Special Topics
- Vector-borne diseases: a multi-species ecosystem.
- The herd effect in infectious disease epidemiology.
- Planning mass vaccination campaigns.
- Hospital-acquired infections: where stochasticity rules.
- Interactions between infectious diseases
Computer practicals
- Designing a model of tuberculosis transmission.
- Introducing Berkeley Madonna as a tool for modelling.
- Estimating key parameters from an outbreak of influenza.
- Exploring heterogeneous behaviour in a model of sexually transmitted diseases.
- A stochastic model of nosocomial MRSA.
Keynote lectures
- Mathematical models and infectious diseases: successes of the past and challenges for the future.
- Health economics of infectious disease control.
- Interventions against HIV in Zimbabwe
- The Schistosomiasis Control Initiative.
- Human Papillomavirus Vaccination.
- Schistosomiasis: from models to data.
- Seasonality of infectious diseases.
- BSE and vCJD: Mad cows and Englishmen.
- HIV, UNAIDS and models for a global pandemic.
- Bacterial genetics, epidemiology and evolution.
- Bovine TB: science, policy and dogma.
- Planning for Pandemic Influenza.
- Preparing for future infectious disease th reats. &n bsp;& nbsp;
Projects
- HIV/AIDS: A ntiretroviral therapy a nd HIV transmission in a developing country context.
- Malaria & human on ch ocerciasis.
- Avian influenza.
- SARS: real-time response to the 2003 Hong Kong epidemic .
