Using Clinicians’ Search Query Data to Monitor Influenza Epidemics

Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Our results show that digital disease surveillance tools based on experts' databases may be able to provide an alternative, reliable, and stable...

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Detalles Bibliográficos
Autores principales: Santillana, Mauricio, Nsoesie, Elaine O., Mekaru, Sumiko R., Scales, David, Brownstein, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Brief Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4296132/
https://www.ncbi.nlm.nih.gov/pubmed/25115873
http://dx.doi.org/10.1093/cid/ciu647
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author Santillana, Mauricio
Nsoesie, Elaine O.
Mekaru, Sumiko R.
Scales, David
Brownstein, John S.
author_facet Santillana, Mauricio
Nsoesie, Elaine O.
Mekaru, Sumiko R.
Scales, David
Brownstein, John S.
author_sort Santillana, Mauricio
collection PubMed
description Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Our results show that digital disease surveillance tools based on experts' databases may be able to provide an alternative, reliable, and stable signal for accurate predictions of influenza outbreaks.
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spelling pubmed-42961322015-11-15 Using Clinicians’ Search Query Data to Monitor Influenza Epidemics Santillana, Mauricio Nsoesie, Elaine O. Mekaru, Sumiko R. Scales, David Brownstein, John S. Clin Infect Dis Brief Reports Search query information from a clinician's database, UpToDate, is shown to predict influenza epidemics in the United States in a timely manner. Our results show that digital disease surveillance tools based on experts' databases may be able to provide an alternative, reliable, and stable signal for accurate predictions of influenza outbreaks. Oxford University Press 2014-11-15 2014-08-12 /pmc/articles/PMC4296132/ /pubmed/25115873 http://dx.doi.org/10.1093/cid/ciu647 Text en © The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Brief Reports
Santillana, Mauricio
Nsoesie, Elaine O.
Mekaru, Sumiko R.
Scales, David
Brownstein, John S.
Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title_full Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title_fullStr Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title_full_unstemmed Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title_short Using Clinicians’ Search Query Data to Monitor Influenza Epidemics
title_sort using clinicians’ search query data to monitor influenza epidemics
topic Brief Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4296132/
https://www.ncbi.nlm.nih.gov/pubmed/25115873
http://dx.doi.org/10.1093/cid/ciu647
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