The system includes ILINet, WHO, and three Athena data sources. Forecast performance is summarized in top rows of graphs, by RMSE (red), PWE (green), and PME (blue). The bottom row compares the forecasted (red) and actual (black) times series with 95% credible intervals (gray). Vertical dashed lines indicate the last week of the observational periods, after which all predictor and target data are forecasted.</p
Background: Accurate influenza activity forecasting helps public health officials prepare and alloca...
BACKGROUND: We developed a practical influenza forecast model based on real-time, geographically foc...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
This release includes all real-time influenza forecasts from the FluSight Network for the 2017/2018 ...
This release includes all real-time influenza forecasts from the FluSight Network for the 2018/2019 ...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
When evaluating a candidate data source, we combine it with previously selected data sources and per...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
We developed a practical influenza forecast model based on real-time, geographically focused, and ea...
Seasonal influenza results in substantial annual morbidity and mortality in the United States and wo...
Objective: To describe the use of surveillance and forecasting models to predict and track epidemics...
Background: We developed a practical influenza forecast model based on real-time, geographically foc...
Accurate forecasting of seasonal influenza epidemics is of great concern to healthcare providers in ...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
To identify countries that have seasonal patterns similar to the time series of influenza surveillan...
Background: Accurate influenza activity forecasting helps public health officials prepare and alloca...
BACKGROUND: We developed a practical influenza forecast model based on real-time, geographically foc...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
This release includes all real-time influenza forecasts from the FluSight Network for the 2017/2018 ...
This release includes all real-time influenza forecasts from the FluSight Network for the 2018/2019 ...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
When evaluating a candidate data source, we combine it with previously selected data sources and per...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
We developed a practical influenza forecast model based on real-time, geographically focused, and ea...
Seasonal influenza results in substantial annual morbidity and mortality in the United States and wo...
Objective: To describe the use of surveillance and forecasting models to predict and track epidemics...
Background: We developed a practical influenza forecast model based on real-time, geographically foc...
Accurate forecasting of seasonal influenza epidemics is of great concern to healthcare providers in ...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
To identify countries that have seasonal patterns similar to the time series of influenza surveillan...
Background: Accurate influenza activity forecasting helps public health officials prepare and alloca...
BACKGROUND: We developed a practical influenza forecast model based on real-time, geographically foc...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...