Web queries as a source for syndromic surveillance.

In the field of syndromic surveillance, various sources are exploited for outbreak detection, monitoring and prediction. This paper describes a study on queries submitted to a medical web site, with influenza as a case study. The hypothesis of the work was that queries on influenza and influenza-lik...

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Autores principales:	Anette Hulth, Gustaf Rydevik, Annika Linde
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/69d3c95fad7e438d96ae05e097783869
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id	oai:doaj.org-article:69d3c95fad7e438d96ae05e097783869
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spelling	oai:doaj.org-article:69d3c95fad7e438d96ae05e0977838692021-11-25T06:17:27ZWeb queries as a source for syndromic surveillance.1932-620310.1371/journal.pone.0004378https://doaj.org/article/69d3c95fad7e438d96ae05e0977838692009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19197389/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In the field of syndromic surveillance, various sources are exploited for outbreak detection, monitoring and prediction. This paper describes a study on queries submitted to a medical web site, with influenza as a case study. The hypothesis of the work was that queries on influenza and influenza-like illness would provide a basis for the estimation of the timing of the peak and the intensity of the yearly influenza outbreaks that would be as good as the existing laboratory and sentinel surveillance. We calculated the occurrence of various queries related to influenza from search logs submitted to a Swedish medical web site for two influenza seasons. These figures were subsequently used to generate two models, one to estimate the number of laboratory verified influenza cases and one to estimate the proportion of patients with influenza-like illness reported by selected General Practitioners in Sweden. We applied an approach designed for highly correlated data, partial least squares regression. In our work, we found that certain web queries on influenza follow the same pattern as that obtained by the two other surveillance systems for influenza epidemics, and that they have equal power for the estimation of the influenza burden in society. Web queries give a unique access to ill individuals who are not (yet) seeking care. This paper shows the potential of web queries as an accurate, cheap and labour extensive source for syndromic surveillance.Anette HulthGustaf RydevikAnnika LindePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 2, p e4378 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anette Hulth Gustaf Rydevik Annika Linde Web queries as a source for syndromic surveillance.
description	In the field of syndromic surveillance, various sources are exploited for outbreak detection, monitoring and prediction. This paper describes a study on queries submitted to a medical web site, with influenza as a case study. The hypothesis of the work was that queries on influenza and influenza-like illness would provide a basis for the estimation of the timing of the peak and the intensity of the yearly influenza outbreaks that would be as good as the existing laboratory and sentinel surveillance. We calculated the occurrence of various queries related to influenza from search logs submitted to a Swedish medical web site for two influenza seasons. These figures were subsequently used to generate two models, one to estimate the number of laboratory verified influenza cases and one to estimate the proportion of patients with influenza-like illness reported by selected General Practitioners in Sweden. We applied an approach designed for highly correlated data, partial least squares regression. In our work, we found that certain web queries on influenza follow the same pattern as that obtained by the two other surveillance systems for influenza epidemics, and that they have equal power for the estimation of the influenza burden in society. Web queries give a unique access to ill individuals who are not (yet) seeking care. This paper shows the potential of web queries as an accurate, cheap and labour extensive source for syndromic surveillance.
format	article
author	Anette Hulth Gustaf Rydevik Annika Linde
author_facet	Anette Hulth Gustaf Rydevik Annika Linde
author_sort	Anette Hulth
title	Web queries as a source for syndromic surveillance.
title_short	Web queries as a source for syndromic surveillance.
title_full	Web queries as a source for syndromic surveillance.
title_fullStr	Web queries as a source for syndromic surveillance.
title_full_unstemmed	Web queries as a source for syndromic surveillance.
title_sort	web queries as a source for syndromic surveillance.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/69d3c95fad7e438d96ae05e097783869
work_keys_str_mv	AT anettehulth webqueriesasasourceforsyndromicsurveillance AT gustafrydevik webqueriesasasourceforsyndromicsurveillance AT annikalinde webqueriesasasourceforsyndromicsurveillance
_version_	1718413988661821440

Web queries as a source for syndromic surveillance.

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