2 week intensive course on: "INTRODUCTION TO INFECTIOUS DISEASE MODELLING AND ITS APPLICATIONS"
at the London School of Hygiene & Tropical Medicine organized jointly between the London School of Hygiene & Tropical Medicine and the Communicable Disease Surveillance Centre (Health Protection Agency, UK) 19-30th July 2004 Summary: Mathematical modelling is increasingly being applied to interpret and predict the dynamics and control of infectious diseases. Applications include predicting the impact of vaccination strategies against infections and determining optimal control strategies against HIV and vector-borne diseases. This two week intensive course, now running for the fourth year, is intended to introduce professionals working on infectious diseases to this exciting and expanding area. The emphasis will be on developing a conceptual understanding of the basic methods and on their practical application, rather than the manipulation of mathematical equations. 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, 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. For copies of the leaflet and application form, please contact: Registry London School of Hygiene & Tropical Medicine 50 Bedford Square London, WC1B 3DP UK email: [EMAIL PROTECTED] Further details about the course content are available at http://www.lshtm.ac.uk/ideu/courses/ModellingShortCourse.htm or http://www.lshtm.ac.uk or contact one of the course organizers: Emilia Vynnycky or Richard White e-mail: [EMAIL PROTECTED] or [EMAIL PROTECTED] or [EMAIL PROTECTED] . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
