Displaying results 1 - 2 of 2
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A Systematic Review of Influenza Forecasting Studies
Content Type: Abstract
Researchers have developed varied methods for forecasting influenza activity using surveillance data with predictive models, but real-world applications in public health programs are rare. To inform consideration of whether and how public health… read more -
Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time Intervals
Content Type: Abstract
The Johns Hopkins Applied Physics Laboratory and the Armed Forces Health Surveillance Center have developed a hybrid processing engine that alerts monitors when a severe health condition exists based on corroboration among several sources of data.… read more