Using Web and Social Media for Influenza Surveillance

Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog post...

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Detalles Bibliográficos
Autores principales: Corley, Courtney D., Cook, Diane J., Mikler, Armin R., Singh, Karan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123932/
https://www.ncbi.nlm.nih.gov/pubmed/20865540
http://dx.doi.org/10.1007/978-1-4419-5913-3_61
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author Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
author_facet Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
author_sort Corley, Courtney D.
collection PubMed
description Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss influenza. Our key finding is that from 5th October 2008 to 31st January 2009, a high correlation exists between the frequency of posts, containing influenza keywords, per week and CDC influenza-like-illness surveillance data.
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spelling pubmed-71239322020-04-06 Using Web and Social Media for Influenza Surveillance Corley, Courtney D. Cook, Diane J. Mikler, Armin R. Singh, Karan P. Advances in Computational Biology Article Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss influenza. Our key finding is that from 5th October 2008 to 31st January 2009, a high correlation exists between the frequency of posts, containing influenza keywords, per week and CDC influenza-like-illness surveillance data. 2010-04-27 /pmc/articles/PMC7123932/ /pubmed/20865540 http://dx.doi.org/10.1007/978-1-4419-5913-3_61 Text en © Springer Science+Business Media, LLC 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
Using Web and Social Media for Influenza Surveillance
title Using Web and Social Media for Influenza Surveillance
title_full Using Web and Social Media for Influenza Surveillance
title_fullStr Using Web and Social Media for Influenza Surveillance
title_full_unstemmed Using Web and Social Media for Influenza Surveillance
title_short Using Web and Social Media for Influenza Surveillance
title_sort using web and social media for influenza surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123932/
https://www.ncbi.nlm.nih.gov/pubmed/20865540
http://dx.doi.org/10.1007/978-1-4419-5913-3_61
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