<p>*Week 39 of 2010 and week 30 of 2013 were used to calculate transformed %GFT estimates for each of these time periods, respectively.</p><p>**During the 2010–13 seasons, 29 weeks were above baseline.</p>†<p>During the 2013–14 season, 14 weeks were above baseline.</p><p>Comparing estimates of the weekly percentage of physician visits related to influenza-like illness (ILI) based on Google Flu Trends (GFT) to values reported by the Centers for Disease Control and Prevention (CDC), United States, October 2010–March 2014.</p
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real ti...
<p>Performance of Google Flu Trends (GFT) relative to public health influenza-like illness (ILI) sur...
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patte...
<p>The final CDC value (f%ILINet; blue) is compared to the GFT estimate (%GFT; red) and the transfor...
<div><p>Google Flu Trends (GFT) uses Internet search queries in an effort to provide early warning o...
We retrieved the weekly unweighted percentages of patient visits due to influenza-like illness (ILI)...
<p>Week of onset was identified as the first of consecutive weeks for each system and region above i...
<p>Weekly excess percent-ILI is calculated as Serfling estimates subtracted from observed proportion...
<p>Performance was evaluated by linear regression of weekly GFT estimates against weekly ILI surveil...
<p>Epidemic intensity was measured by Serfling regression of weekly percent-ILI for public health su...
<div><p>The goal of influenza-like illness (ILI) surveillance is to determine the timing, location a...
<p>Panel A. Percentage of visits for influenza-like illness (ILINet), U.S. and South, July 31, 2009–...
<p>Observed weekly ILI proportions (black lines) are shown with Serfling model baseline (gray lines)...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real ti...
<p>Performance of Google Flu Trends (GFT) relative to public health influenza-like illness (ILI) sur...
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patte...
<p>The final CDC value (f%ILINet; blue) is compared to the GFT estimate (%GFT; red) and the transfor...
<div><p>Google Flu Trends (GFT) uses Internet search queries in an effort to provide early warning o...
We retrieved the weekly unweighted percentages of patient visits due to influenza-like illness (ILI)...
<p>Week of onset was identified as the first of consecutive weeks for each system and region above i...
<p>Weekly excess percent-ILI is calculated as Serfling estimates subtracted from observed proportion...
<p>Performance was evaluated by linear regression of weekly GFT estimates against weekly ILI surveil...
<p>Epidemic intensity was measured by Serfling regression of weekly percent-ILI for public health su...
<div><p>The goal of influenza-like illness (ILI) surveillance is to determine the timing, location a...
<p>Panel A. Percentage of visits for influenza-like illness (ILINet), U.S. and South, July 31, 2009–...
<p>Observed weekly ILI proportions (black lines) are shown with Serfling model baseline (gray lines)...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real ti...
<p>Performance of Google Flu Trends (GFT) relative to public health influenza-like illness (ILI) sur...
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patte...