This course is organised jointly between the London School of Hygiene & Tropical Medicine and Public Health England
Venue: London School of Hygiene & Tropical Medicine
Course dates: 16th– 27th June 2014
Mathematical modelling is increasingly applied to predict the future incidence and control of infectious diseases. Applications include predicting the impact of control strategies, such as vaccination or treatment, against pandemic influenza, measles, HIV, vector-borne diseases and veterinary problems. Modelling was used extensively in the UK during the swine flu pandemic to monitor the extent of ongoing transmission and the potential impact of interventions such as school closures and vaccination.
This two week intensive course introduces professionals working on infectious diseases in human or animal populations to this exciting and expanding area. The emphasis of the course is on developing a conceptual understanding of the basic methods and on their practical application, rather than the manipulation of mathematical equations. The course provides numerous practical examples, including real-time modelling of outbreaks, pandemic influenza, sexually transmitted infections, HIV, vector-borne and animal diseases, as well as tuberculosis, measles and rubella, and health economics.
By the end of the course, participants will have deepened their current understanding of infectious disease epidemiology and have gained an understanding and practical experience of the basics of infectious disease modelling, which will be important in their future work.
Who should attend?
The course is designed for individuals interested in expanding their knowledge of the techniques for analysing and interpreting epidemiological data on infectious diseases and for predicting the impact of control programmes, including medical and health professionals, policy makers, veterinary scientists, health economists, medical statisticians and infectious disease researchers.
Specialist mathematical training is not a prerequisite. However, individuals with degrees in mathematical disciplines working on some aspect of infectious disease dynamics and/or control, who wish to learn about the potential of infectious disease modelling will also benefit.
Or contact the short courses team for more information.