Use Internet search data to accurately track state level influenza epidemics

Abstract For epidemics control and prevention, timely insights of potential hot spots are invaluable. Alternative to traditional epidemic surveillance, which often lags behind real time by weeks, big data from the Internet provide important information of the current epidemic trends. Here we present...

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Autores principales:	Shihao Yang, Shaoyang Ning, S. C. Kou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dbe7cd9f2fb1487f922a6b2666ca9a29
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spelling	oai:doaj.org-article:dbe7cd9f2fb1487f922a6b2666ca9a292021-12-02T14:03:46ZUse Internet search data to accurately track state level influenza epidemics10.1038/s41598-021-83084-52045-2322https://doaj.org/article/dbe7cd9f2fb1487f922a6b2666ca9a292021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83084-5https://doaj.org/toc/2045-2322Abstract For epidemics control and prevention, timely insights of potential hot spots are invaluable. Alternative to traditional epidemic surveillance, which often lags behind real time by weeks, big data from the Internet provide important information of the current epidemic trends. Here we present a methodology, ARGOX (Augmented Regression with GOogle data CROSS space), for accurate real-time tracking of state-level influenza epidemics in the United States. ARGOX combines Internet search data at the national, regional and state levels with traditional influenza surveillance data from the Centers for Disease Control and Prevention, and accounts for both the spatial correlation structure of state-level influenza activities and the evolution of people’s Internet search pattern. ARGOX achieves on average 28% error reduction over the best alternative for real-time state-level influenza estimation for 2014 to 2020. ARGOX is robust and reliable and can be potentially applied to track county- and city-level influenza activity and other infectious diseases.Shihao YangShaoyang NingS. C. KouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shihao Yang Shaoyang Ning S. C. Kou Use Internet search data to accurately track state level influenza epidemics
description	Abstract For epidemics control and prevention, timely insights of potential hot spots are invaluable. Alternative to traditional epidemic surveillance, which often lags behind real time by weeks, big data from the Internet provide important information of the current epidemic trends. Here we present a methodology, ARGOX (Augmented Regression with GOogle data CROSS space), for accurate real-time tracking of state-level influenza epidemics in the United States. ARGOX combines Internet search data at the national, regional and state levels with traditional influenza surveillance data from the Centers for Disease Control and Prevention, and accounts for both the spatial correlation structure of state-level influenza activities and the evolution of people’s Internet search pattern. ARGOX achieves on average 28% error reduction over the best alternative for real-time state-level influenza estimation for 2014 to 2020. ARGOX is robust and reliable and can be potentially applied to track county- and city-level influenza activity and other infectious diseases.
format	article
author	Shihao Yang Shaoyang Ning S. C. Kou
author_facet	Shihao Yang Shaoyang Ning S. C. Kou
author_sort	Shihao Yang
title	Use Internet search data to accurately track state level influenza epidemics
title_short	Use Internet search data to accurately track state level influenza epidemics
title_full	Use Internet search data to accurately track state level influenza epidemics
title_fullStr	Use Internet search data to accurately track state level influenza epidemics
title_full_unstemmed	Use Internet search data to accurately track state level influenza epidemics
title_sort	use internet search data to accurately track state level influenza epidemics
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/dbe7cd9f2fb1487f922a6b2666ca9a29
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_version_	1718392112992485376

Use Internet search data to accurately track state level influenza epidemics

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