<p>This figure shows the results of our straw man prediction based on averaging past flu seasons. Since this forecast of the 2013–2014 influenza season was made using only the statistics of the sample mean and sample standard deviation from previous season’s ILI observations it’s credible intervals (left) do a good job of containing the current influenza season. This forecast does not include any causal model of influenza spread. There is, therefore, no correlation between the forecast at successive time points. This is seen when sampling time series from this forecast (right). The lack of correlation in forecasts for successive weeks severely limits the usefulness of such a forecast for public health decision making. For instance, after th...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
<p>Values indicate Pearson correlation coefficients; values in bold are significant. For ILI time se...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
<p>The M-distance between U.S. 2013–2014 ILI data and the two forecasts is plotted. The M-distance b...
Health planners use forecasts of key metrics associated with influenza-like illness (ILI); near-term...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Health planners use forecasts of key metrics associated with influenza-like illness (ILI); near-term...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus,...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed a...
<p>Note: 1) Auto-regressive integrated moving average (ARIMA [<i>p</i>, <i>d</i>, <i>q</i>]) method,...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus,...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
<p>Values indicate Pearson correlation coefficients; values in bold are significant. For ILI time se...
<p>This figure shows the prior forecast along with the 2013–2014 ILI data. Note the potential for an...
<p>The M-distance between U.S. 2013–2014 ILI data and the two forecasts is plotted. The M-distance b...
Health planners use forecasts of key metrics associated with influenza-like illness (ILI); near-term...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Health planners use forecasts of key metrics associated with influenza-like illness (ILI); near-term...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus,...
Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked wi...
A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed a...
<p>Note: 1) Auto-regressive integrated moving average (ARIMA [<i>p</i>, <i>d</i>, <i>q</i>]) method,...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the general infectiousnes...
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus,...
<p>Dynamic (blue) and static (red) forecasts were considered here assuming the specific infectiousne...
Accurate prediction of flu activity enables health officials to plan disease prevention and allocate...
<p>Values indicate Pearson correlation coefficients; values in bold are significant. For ILI time se...