<p>Four measures, sensitivity (i.e., true positive rate, TPR), specificity (i.e., true negative rate, SPC), precision (i.e., positive predictive value, PPV), and negative predictive value (NPV) are shown for (A) the SIR-EAKF and (B) the SIR-PF forecast system. Results are tallied over forecast of H1N1 (orange), H3N2 (red), Type B (green), all strains combined time series (blue), and all forecasts (white).</p
<div><p>Infectious diseases impose considerable burden on society, despite significant advances in t...
<p>The performance of the GEE models in predicting the start, end and length of an influenza epidemi...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<p>Accuracy was calculated over all forecasts (332,400 for each setting of the forecast system). Thi...
Abstract Background Over the past few decades, numerous forecasting methods have been proposed in th...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by severa...
<p>A forecast was deemed accurate if: 1) peak timing was within ±1 week of the observed peak of infe...
<p>Abbrviations: SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative p...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
<p>Abbreviations: AUC, area under the curve; SEN, sensitivity; SPE, specificity; PPV, positive predi...
Probabilistic forecasting and nowcasting of infectious disease targets have been an important tool u...
Real-time forecasts based on mathematical models can inform critical decision-making during infectio...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<div><p>Infectious diseases impose considerable burden on society, despite significant advances in t...
<p>The performance of the GEE models in predicting the start, end and length of an influenza epidemi...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<p>Accuracy was calculated over all forecasts (332,400 for each setting of the forecast system). Thi...
Abstract Background Over the past few decades, numerous forecasting methods have been proposed in th...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by severa...
<p>A forecast was deemed accurate if: 1) peak timing was within ±1 week of the observed peak of infe...
<p>Abbrviations: SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative p...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
<p>Abbreviations: AUC, area under the curve; SEN, sensitivity; SPE, specificity; PPV, positive predi...
Probabilistic forecasting and nowcasting of infectious disease targets have been an important tool u...
Real-time forecasts based on mathematical models can inform critical decision-making during infectio...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
<div><p>Infectious diseases impose considerable burden on society, despite significant advances in t...
<p>The performance of the GEE models in predicting the start, end and length of an influenza epidemi...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...