<p>Accuracy was calculated over all forecasts (332,400 for each setting of the forecast system). This analysis includes the forecasts for seasonal H1N1, the 2009 pandemic H1N1, H3N2, B and all strains combined. Results are shown for the EAKF (red) and the PF (blue), evaluated using two standards (solid vs. dashed lines, as specified in the parentheses). On the x-axis, positive leads indicate that a peak is forecast in the future; negative leads indicate that a peak is forecast in the past; a 0 week lead indicates that a peak is forecast as the same week of forecast. Leads are relative to the predicted peak for forecasts of the peak timing, peak magnitude, and duration, and relative to the predicted onset for forecasts of onset timing.</p
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
<p>Four measures, sensitivity (i.e., true positive rate, TPR), specificity (i.e., true negative rate...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
(A) Forecast accuracy in temperate regions. (B) Forecast accuracy in tropical regions. Peak timing a...
(A) Weekly mean absolute error for the n-week ahead forecast (1 week, green; 2 weeks, purple; 3 week...
<p>A forecast was deemed accurate if: 1) peak timing was within ±1 week of the observed peak of infe...
<p>(A) Accuracy plotted as a function of forecast initiation week; numbers greater than 52/53 weeks ...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
Abstract Background Over the past few decades, numerous forecasting methods have been proposed in th...
We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by severa...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
<p>Four measures, sensitivity (i.e., true positive rate, TPR), specificity (i.e., true negative rate...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
(A) Forecast accuracy in temperate regions. (B) Forecast accuracy in tropical regions. Peak timing a...
(A) Weekly mean absolute error for the n-week ahead forecast (1 week, green; 2 weeks, purple; 3 week...
<p>A forecast was deemed accurate if: 1) peak timing was within ±1 week of the observed peak of infe...
<p>(A) Accuracy plotted as a function of forecast initiation week; numbers greater than 52/53 weeks ...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
Abstract Background Over the past few decades, numerous forecasting methods have been proposed in th...
We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by severa...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...