This study compared weekly percent of influenza-like illness (ILI) in Early Notification of Community-based Epidemics (ESSENCE) to weekly counts of laboratory confirmed influenza cases and evaluated the early warning potential of the ESSENCE weekly ILI percent for five consecutive influenza seasons (2006-11) in Missouri. ESSENCE weekly ILI percent was significantly correlated with weekly counts of laboratory-confirmed influenza cases. Use of the ESSENCE percent ILI baseline provided two weeks of advanced warning for seasonal influenza activity. These findings justify the use of ESSENCE for influenza surveillance
Introduction Fine-grained influenza surveillance data are lacking in the US, hampering our ability t...
The availability of weekly Web-based participatory surveillance data on self-reported influenza-like...
ObjectiveTo examine the baseline influenza-like illness (ILI) rates in theemergency departments (ED)...
Syndromic surveillance can be used not only to monitor overall influenza trends, but is also effecti...
dissertationInfluenza causes considerable morbidity and mortality each year. Surveillance efforts i...
Influenza causes significant morbidity and mortality each year, with 2-8% of weekly outpatient visit...
Fine-grained influenza surveillance data are lacking in the US, hampering our ability to monitor dis...
Early, accurate predictions of the onset of influenza season enable targeted implementation of contr...
<div><p>Influenza causes significant morbidity and mortality each year, with 2–8% of weekly outpatie...
BackgroundSurveillance for influenza and influenza-like illness (ILI) is important for guiding publi...
ILINet data is a central element of influenza surveillance, but data collection is resource-intensiv...
BACKGROUND: Interest in the use of emergency department (ED) data by syndromic surveillance systems ...
Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public H...
We compared tempOral patterns of respiratory illness-related unplanned school closures (USC) with in...
Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public H...
Introduction Fine-grained influenza surveillance data are lacking in the US, hampering our ability t...
The availability of weekly Web-based participatory surveillance data on self-reported influenza-like...
ObjectiveTo examine the baseline influenza-like illness (ILI) rates in theemergency departments (ED)...
Syndromic surveillance can be used not only to monitor overall influenza trends, but is also effecti...
dissertationInfluenza causes considerable morbidity and mortality each year. Surveillance efforts i...
Influenza causes significant morbidity and mortality each year, with 2-8% of weekly outpatient visit...
Fine-grained influenza surveillance data are lacking in the US, hampering our ability to monitor dis...
Early, accurate predictions of the onset of influenza season enable targeted implementation of contr...
<div><p>Influenza causes significant morbidity and mortality each year, with 2–8% of weekly outpatie...
BackgroundSurveillance for influenza and influenza-like illness (ILI) is important for guiding publi...
ILINet data is a central element of influenza surveillance, but data collection is resource-intensiv...
BACKGROUND: Interest in the use of emergency department (ED) data by syndromic surveillance systems ...
Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public H...
We compared tempOral patterns of respiratory illness-related unplanned school closures (USC) with in...
Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public H...
Introduction Fine-grained influenza surveillance data are lacking in the US, hampering our ability t...
The availability of weekly Web-based participatory surveillance data on self-reported influenza-like...
ObjectiveTo examine the baseline influenza-like illness (ILI) rates in theemergency departments (ED)...