<p>Performance of Google Flu Trends (GFT) relative to public health influenza-like illness (ILI) surveillance at the national (United States), regional (Mid-Atlantic States) and local (New York City) levels for specific epidemic and pandemic seasons.</p
<p>Panel A. Percentage of visits for influenza-like illness (ILINet), U.S. and South, July 31, 2009–...
<p>The final CDC value (f%ILINet; blue) is compared to the GFT estimate (%GFT; red) and the transfor...
<p>*Week 39 of 2010 and week 30 of 2013 were used to calculate transformed %GFT estimates for each o...
<p>Performance was evaluated by linear regression of weekly GFT estimates against weekly ILI surveil...
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real ti...
<div><p>The goal of influenza-like illness (ILI) surveillance is to determine the timing, location a...
<p>Week of onset was identified as the first of consecutive weeks for each system and region above i...
<p>Epidemic intensity was measured by Serfling regression of weekly percent-ILI for public health su...
The goal of influenza-like illness (ILI) surveillance is to determine the timing, location and magni...
<div><p>Google Flu Trends (GFT) uses Internet search queries in an effort to provide early warning o...
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patte...
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...
<p>Observed weekly ILI proportions (black lines) are shown with Serfling model baseline (gray lines)...
Google Flu Trends (GFT) is an internet search query-based application that has been proven to add va...
<p>Panel A. Percentage of visits for influenza-like illness (ILINet), U.S. and South, July 31, 2009–...
<p>The final CDC value (f%ILINet; blue) is compared to the GFT estimate (%GFT; red) and the transfor...
<p>*Week 39 of 2010 and week 30 of 2013 were used to calculate transformed %GFT estimates for each o...
<p>Performance was evaluated by linear regression of weekly GFT estimates against weekly ILI surveil...
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real ti...
<div><p>The goal of influenza-like illness (ILI) surveillance is to determine the timing, location a...
<p>Week of onset was identified as the first of consecutive weeks for each system and region above i...
<p>Epidemic intensity was measured by Serfling regression of weekly percent-ILI for public health su...
The goal of influenza-like illness (ILI) surveillance is to determine the timing, location and magni...
<div><p>Google Flu Trends (GFT) uses Internet search queries in an effort to provide early warning o...
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patte...
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...
<p>Observed weekly ILI proportions (black lines) are shown with Serfling model baseline (gray lines)...
Google Flu Trends (GFT) is an internet search query-based application that has been proven to add va...
<p>Panel A. Percentage of visits for influenza-like illness (ILINet), U.S. and South, July 31, 2009–...
<p>The final CDC value (f%ILINet; blue) is compared to the GFT estimate (%GFT; red) and the transfor...
<p>*Week 39 of 2010 and week 30 of 2013 were used to calculate transformed %GFT estimates for each o...