A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.

Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the impact of an illness on a given country is essential to plan and organize effective countermeasures, which is now pos...

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Autores principales:	Giovanni De Toni, Cristian Consonni, Alberto Montresor
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0e4158c4df474311860df96d7caec1ee
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spelling	oai:doaj.org-article:0e4158c4df474311860df96d7caec1ee2021-12-02T20:14:51ZA general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.1932-620310.1371/journal.pone.0256858https://doaj.org/article/0e4158c4df474311860df96d7caec1ee2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256858https://doaj.org/toc/1932-6203Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the impact of an illness on a given country is essential to plan and organize effective countermeasures, which is now possible by leveraging unconventional data sources like web searches and visits. In this study, we show the feasibility of exploiting machine learning models and information about Wikipedia's page views of a selected group of articles to obtain accurate estimates of influenza-like illnesses incidence in four European countries: Italy, Germany, Belgium, and the Netherlands. We propose a novel language-agnostic method, based on two algorithms, Personalized PageRank and CycleRank, to automatically select the most relevant Wikipedia pages to be monitored without the need for expert supervision. We then show how our model can reach state-of-the-art results by comparing it with previous solutions.Giovanni De ToniCristian ConsonniAlberto MontresorPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256858 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giovanni De Toni Cristian Consonni Alberto Montresor A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
description	Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the impact of an illness on a given country is essential to plan and organize effective countermeasures, which is now possible by leveraging unconventional data sources like web searches and visits. In this study, we show the feasibility of exploiting machine learning models and information about Wikipedia's page views of a selected group of articles to obtain accurate estimates of influenza-like illnesses incidence in four European countries: Italy, Germany, Belgium, and the Netherlands. We propose a novel language-agnostic method, based on two algorithms, Personalized PageRank and CycleRank, to automatically select the most relevant Wikipedia pages to be monitored without the need for expert supervision. We then show how our model can reach state-of-the-art results by comparing it with previous solutions.
format	article
author	Giovanni De Toni Cristian Consonni Alberto Montresor
author_facet	Giovanni De Toni Cristian Consonni Alberto Montresor
author_sort	Giovanni De Toni
title	A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
title_short	A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
title_full	A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
title_fullStr	A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
title_full_unstemmed	A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
title_sort	general method for estimating the prevalence of influenza-like-symptoms with wikipedia data.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/0e4158c4df474311860df96d7caec1ee
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A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.

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