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Real-Time Epidemic Monitoring and Forecasting of H1N1-2009 Using Influenza-Like Illness from General Practice and Family Doctor Clinics in Singapore

PLoS ONEPublished 14 April 2010Open access
Jimmy Boon Som Ong, Mark Chen, Alex R. Cook, Huey Chyi Lee, Vernon J. Lee, Raymond Tzer Pin Lin
Citations158
SJR quartileQ1
SJR score0.80
SNIP1.07
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TL;DR

The real-time surveillance system is able to show the progress of an epidemic and indicates when the peak is reached and can be used to form forecasts, including how soon the epidemic wave will end and when a second wave will appear if at all.

Abstract

This real-time surveillance system is able to show the progress of an epidemic and indicates when the peak is reached. The resulting information can be used to form forecasts, including how soon the epidemic wave will end and when a second wave will appear if at all.

Keywords

MathematicsMedicine