Introduction to Infectious Disease Modelling and its Applications 2004

Emilia Vynnycky emilia.vynnycky at
Sat Mar 27 12:42:58 EST 2004

2 week intensive course on:


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

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

For copies of the leaflet and application form, please contact:
London School of Hygiene & Tropical Medicine
50 Bedford Square
email: shortcourses at

Further details about the course content are available at or

or contact one of the course organizers:
Emilia Vynnycky or Richard White
e-mail: emilia.vynnycky at or emilia.vynnycky at or
richard.white at

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