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Mathematical Models of Dengue Fever
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The Session
There is an urgent need for quantitative tools applied to the infection dynamics of emergent
and re-emergent diseases.
Mathematical modelling enables medical and research workers to discover the likely outcome of an
epidemic, or to help determine optimal control strategies against infectious diseases.
In this public lecture, recorded on 24 October 2007, an original mathematical model of dengue transmission is presented.
The model takes into account the impact of temperature increase on the Aedes mosquito
population. The model is tested against real data from Singapore and it explains a number
of epidemiological features of the last epidemics.
This lecture was part of a week-long workshop. Complete programme details may be found on the
workshop website.
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The Speaker
Professor Eduardo Massad is Professor of Medical Informatics
at the University of Sao Paulo in Brazil and has been an
Honorary Professor of Infectious and Tropical Diseases at the
London School of Hygiene and Tropical Medicine since 2003.
He visited Singapore in 2005 as the inaugural Courage Fund
Visiting Professor of Infectious Disease and Epidemiology.
His present visit is also sponsored by the Courage Fund.
Professor Massad's main research interests are in Medical
Informatics and Mathematical Biology.
He is a world-renowned
specialist in the field of infectious disease
epidemiology and the mathematical modeling of infectious
diseases. He has done a wide range of modeling work
spanning Dengue, Yellow Fever, Hepatitis A, vaccine
preventable diseases, parasitology, HIV and antimicrobial
resistance.
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Presentation
- Introduction, Address, Q&A
Presenter(s): Professor Eduardo Massad
Duration: 55 minutes
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Perspective
"The worst outbreak of dengue fever in years has hit Southeast Asia, prompting the
World Health Organization to call for better prevention campaigns as experts question
whether global warming is partly to blame."
- International Herald Tribune, Oct 2007
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