Displaying results 1 - 4 of 4
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Support Vector Machines for Syndromic Surveillance
Content Type: Abstract
Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more -
Dengue Fever Outbreak Prediction
Content Type: Abstract
Dengue fever is endemic in over 100 countries and there are an estimated 50 - 100 million cases annually. There is no vaccine for dengue fever yet, and the mortality rate of the severe form of the disease, dengue hemorrhagic fever, ranges from 10-20… read more -
Methodology for prediction of outbreaks of diseases of military importance
Content Type: Abstract
Traditional public health practice has relied on public health surveillance of disease to detect outbreaks in an effort to mitigate their effects. Often the earlier an outbreak is detected, the greater the mitigation of its effects. The logical… read more -
Predicting Levels of Influenza Incidence
Content Type: Abstract
Influenza epidemics occur seasonally but with spatiotemporal variations in peak incidence. Many modeling studies examine transmission dynamics [1], but relatively few have examined spatiotemporal prediction of future outbreaks [2]. Bootsma et al [3… read more