<p>Each of the six model-filter frameworks was run 5 times to simulate the historical ILI+ time series for 115 U.S. cities during each flu season. RMS error for each run was calculated; the numbers presented are average RMS error and 95% confidence intervals (in parentheses) over all runs and all cities for each model-filter framework.</p
RMSE and relative error of models with and without waning of immunity, from July 27th, 2021 to Sept....
<div><p>(A) The black line represents the aggregated national data of P&I weekly mortality. The blue...
We simulated 200,000 replicate outbreaks for values of R0 evenly spaced between 2 and 20. The horizo...
<p>Each model-filter framework was run repeatedly 5 times; the RMS error between the predicted and o...
<div><p>A variety of filtering methods enable the recursive estimation of system state variables and...
A variety of filtering methods enable the recursive estimation of system state variables and inferen...
<p>The mean RMSE between the observed and simulated scaled data per region over all ten seasons, div...
<p>The model-filter frameworks were tested with historical ILI+ time series collected in the 2010–11...
Red lines indicate the median model, blue boxes indicate the inter-quartile range, and whiskers indi...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
<p>Note: Lines of QAIC and QBIC are overlapping when the degrees of freedom (<i>df</i>) range from 2...
<p>Average root mean squared error (RMSE) of the model with respect to the number of included sites....
<p>Absolute error was calculated and compared for each prediction of observed peak of infectious mos...
A variety of filtering methods enable the recursive estimation of system state variables and inferen...
Error in time-series reproduction using the random factor model (dashed gray curve) and PCA (black s...
RMSE and relative error of models with and without waning of immunity, from July 27th, 2021 to Sept....
<div><p>(A) The black line represents the aggregated national data of P&I weekly mortality. The blue...
We simulated 200,000 replicate outbreaks for values of R0 evenly spaced between 2 and 20. The horizo...
<p>Each model-filter framework was run repeatedly 5 times; the RMS error between the predicted and o...
<div><p>A variety of filtering methods enable the recursive estimation of system state variables and...
A variety of filtering methods enable the recursive estimation of system state variables and inferen...
<p>The mean RMSE between the observed and simulated scaled data per region over all ten seasons, div...
<p>The model-filter frameworks were tested with historical ILI+ time series collected in the 2010–11...
Red lines indicate the median model, blue boxes indicate the inter-quartile range, and whiskers indi...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
<p>Note: Lines of QAIC and QBIC are overlapping when the degrees of freedom (<i>df</i>) range from 2...
<p>Average root mean squared error (RMSE) of the model with respect to the number of included sites....
<p>Absolute error was calculated and compared for each prediction of observed peak of infectious mos...
A variety of filtering methods enable the recursive estimation of system state variables and inferen...
Error in time-series reproduction using the random factor model (dashed gray curve) and PCA (black s...
RMSE and relative error of models with and without waning of immunity, from July 27th, 2021 to Sept....
<div><p>(A) The black line represents the aggregated national data of P&I weekly mortality. The blue...
We simulated 200,000 replicate outbreaks for values of R0 evenly spaced between 2 and 20. The horizo...