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Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits
BACKGROUND: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942685/ https://www.ncbi.nlm.nih.gov/pubmed/27354313 http://dx.doi.org/10.2196/jmir.5585 |
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author | Klembczyk, Joseph Jeffrey Jalalpour, Mehdi Levin, Scott Washington, Raynard E Pines, Jesse M Rothman, Richard E Dugas, Andrea Freyer |
author_facet | Klembczyk, Joseph Jeffrey Jalalpour, Mehdi Levin, Scott Washington, Raynard E Pines, Jesse M Rothman, Richard E Dugas, Andrea Freyer |
author_sort | Klembczyk, Joseph Jeffrey |
collection | PubMed |
description | BACKGROUND: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations. OBJECTIVE: The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to explore which city characteristics lead to better or worse GFT effectiveness. METHODS: Using Healthcare Cost and Utilization Project data, we collected weekly counts of ED visits for all patients with diagnosis (International Statistical Classification of Diseases 9) codes for influenza-related visits from 2005-2011 in 19 different US cities. We measured the correlation between weekly volume of GFT searches and influenza-related ED visits (ie, GFT ED surveillance effectiveness) per city. We evaluated the relationship between 15 publically available city indicators (11 sociodemographic, two health care utilization, and two climate) and GFT surveillance effectiveness using univariate linear regression. RESULTS: Correlation between city-level GFT and influenza-related ED visits had a median of .84, ranging from .67 to .93 across 19 cities. Temporal variability was observed, with median correlation ranging from .78 in 2009 to .94 in 2005. City indicators significantly associated (P<.10) with improved GFT surveillance include higher proportion of female population, higher proportion with Medicare coverage, higher ED visits per capita, and lower socioeconomic status. CONCLUSIONS: GFT is strongly correlated with ED influenza-related visits at the city level, but unexplained variation over geographic location and time limits its utility as standalone surveillance. GFT is likely most useful as an early signal used in conjunction with other more comprehensive surveillance techniques. City indicators associated with improved GFT surveillance provide some insight into the variability of GFT effectiveness. For example, populations with lower socioeconomic status may have a greater tendency to initially turn to the Internet for health questions, thus leading to increased GFT effectiveness. GFT has the potential to provide valuable information to ED providers for patient care and to administrators for ED surge preparedness. |
format | Online Article Text |
id | pubmed-4942685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-49426852016-07-20 Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits Klembczyk, Joseph Jeffrey Jalalpour, Mehdi Levin, Scott Washington, Raynard E Pines, Jesse M Rothman, Richard E Dugas, Andrea Freyer J Med Internet Res Original Paper BACKGROUND: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations. OBJECTIVE: The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to explore which city characteristics lead to better or worse GFT effectiveness. METHODS: Using Healthcare Cost and Utilization Project data, we collected weekly counts of ED visits for all patients with diagnosis (International Statistical Classification of Diseases 9) codes for influenza-related visits from 2005-2011 in 19 different US cities. We measured the correlation between weekly volume of GFT searches and influenza-related ED visits (ie, GFT ED surveillance effectiveness) per city. We evaluated the relationship between 15 publically available city indicators (11 sociodemographic, two health care utilization, and two climate) and GFT surveillance effectiveness using univariate linear regression. RESULTS: Correlation between city-level GFT and influenza-related ED visits had a median of .84, ranging from .67 to .93 across 19 cities. Temporal variability was observed, with median correlation ranging from .78 in 2009 to .94 in 2005. City indicators significantly associated (P<.10) with improved GFT surveillance include higher proportion of female population, higher proportion with Medicare coverage, higher ED visits per capita, and lower socioeconomic status. CONCLUSIONS: GFT is strongly correlated with ED influenza-related visits at the city level, but unexplained variation over geographic location and time limits its utility as standalone surveillance. GFT is likely most useful as an early signal used in conjunction with other more comprehensive surveillance techniques. City indicators associated with improved GFT surveillance provide some insight into the variability of GFT effectiveness. For example, populations with lower socioeconomic status may have a greater tendency to initially turn to the Internet for health questions, thus leading to increased GFT effectiveness. GFT has the potential to provide valuable information to ED providers for patient care and to administrators for ED surge preparedness. JMIR Publications 2016-06-28 /pmc/articles/PMC4942685/ /pubmed/27354313 http://dx.doi.org/10.2196/jmir.5585 Text en ©Joseph Jeffrey Klembczyk, Mehdi Jalalpour, Scott Levin, Raynard E Washington, Jesse M Pines, Richard E Rothman, Andrea Freyer Dugas. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.06.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Klembczyk, Joseph Jeffrey Jalalpour, Mehdi Levin, Scott Washington, Raynard E Pines, Jesse M Rothman, Richard E Dugas, Andrea Freyer Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title | Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title_full | Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title_fullStr | Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title_full_unstemmed | Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title_short | Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits |
title_sort | google flu trends spatial variability validated against emergency department influenza-related visits |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942685/ https://www.ncbi.nlm.nih.gov/pubmed/27354313 http://dx.doi.org/10.2196/jmir.5585 |
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