dc.contributor.author	Won, Miguel
dc.contributor.author	Marques-Pita, Manuel
dc.contributor.author	Louro, Carlota
dc.contributor.author	Gonçalves-Sá, Joana
dc.date.accessioned	2017-02-13T10:22:33Z
dc.date.available	2017-02-13T10:22:33Z
dc.date.issued	2017-02-03
dc.description	Data are available as supplementary materials. Some of the data is not supported by the repository, so the upload of data is not complete. For the complete data, please visit the publisher version of the article.	pt_PT
dc.description.abstract	Every year, influenza epidemics affect millions of people and place a strong burden on health care services. A timely knowledge of the onset of the epidemic could allow these services to prepare for the peak. We present a method that can reliably identify and signal the influenza outbreak. By combining official Influenza-Like Illness (ILI) incidence rates, searches for ILI-related terms on Google, and an on-call triage phone service, Saúde 24, we were able to identify the beginning of the flu season in 8 European countries, anticipating current official alerts by several weeks. This work shows that it is possible to detect and consistently anticipate the onset of the flu season, in real-time, regardless of the amplitude of the epidemic, with obvious advantages for health care authorities. We also show that the method is not limited to one country, specific region or language, and that it provides a simple and reliable signal that can be used in early detection of other seasonal diseases.	pt_PT
dc.description.sponsorship	Fundação para a Ciência e para a Tecnologia; Welcome grant: (DFRH WIIA 60 2011); Marie Curie Actions.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Won M, Marques-P ita M, Louro C, Gonc ̧alves-Sa ́ J (2017) Early and Real-Time Detection of Seasonal Influenza Onset. PLoS Comput Biol 13(2): e1005330. doi:10.137 1/journal. pcbi.1005330	pt_PT
dc.identifier.doi	10.1371/journal.pcbi.1005330	pt_PT
dc.identifier.uri	http://hdl.handle.net/10400.7/730
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Public Library of Science	pt_PT
dc.relation.publisherversion	http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005330	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Influenza	pt_PT
dc.subject	Seasons	pt_PT
dc.subject	Infectious disease surveillance	pt_PT
dc.subject	Portugal	pt_PT
dc.subject	Algorithms	pt_PT
dc.subject	Critical care and emergency medicine	pt_PT
dc.subject	Epidemiological methods and statistics	pt_PT
dc.subject	Curve fitting	pt_PT
dc.title	Early and Real-Time Detection of Seasonal Influenza Onset	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.awardURI	info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FIVC-ESCT%2F5337%2F2012/PT
oaire.citation.endPage	20	pt_PT
oaire.citation.issue	2	pt_PT
oaire.citation.startPage	1	pt_PT
oaire.citation.title	PLoS Computational Biology	pt_PT
oaire.citation.volume	13	pt_PT
oaire.fundingStream	3599-PPCDT
project.funder.identifier	http://doi.org/10.13039/501100001871
project.funder.name	Fundação para a Ciência e a Tecnologia
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
relation.isProjectOfPublication	0252bb13-7df4-4c6d-bf2c-becf5b5fd9a0
relation.isProjectOfPublication.latestForDiscovery	0252bb13-7df4-4c6d-bf2c-becf5b5fd9a0

Early and Real-Time Detection of Seasonal Influenza Onset

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