Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data

This article reports data concerning silicosis-related web-activities using Google Trends (GT) capturing the Internet behavior in the USA for the period 2004–2010. GT-generated data were then compared with the most recent available epidemiological data of silicosis mortality obtained from the Center...

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Autores principales: Bragazzi, Nicola Luigi, Dini, Guglielmo, Toletone, Alessandra, Brigo, Francesco, Durando, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198853/
https://www.ncbi.nlm.nih.gov/pubmed/28054008
http://dx.doi.org/10.1016/j.dib.2016.11.021
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author Bragazzi, Nicola Luigi
Dini, Guglielmo
Toletone, Alessandra
Brigo, Francesco
Durando, Paolo
author_facet Bragazzi, Nicola Luigi
Dini, Guglielmo
Toletone, Alessandra
Brigo, Francesco
Durando, Paolo
author_sort Bragazzi, Nicola Luigi
collection PubMed
description This article reports data concerning silicosis-related web-activities using Google Trends (GT) capturing the Internet behavior in the USA for the period 2004–2010. GT-generated data were then compared with the most recent available epidemiological data of silicosis mortality obtained from the Centers for Disease Control and Prevention for the same study period. Statistically significant correlations with epidemiological data of silicosis (r=0.805, p-value <0.05) and other related web searches were found. The temporal trend well correlated with the epidemiological data, as well as the geospatial distribution of the web-activities with the geographic epidemiology of silicosis.
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spelling pubmed-51988532017-01-04 Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data Bragazzi, Nicola Luigi Dini, Guglielmo Toletone, Alessandra Brigo, Francesco Durando, Paolo Data Brief Data Article This article reports data concerning silicosis-related web-activities using Google Trends (GT) capturing the Internet behavior in the USA for the period 2004–2010. GT-generated data were then compared with the most recent available epidemiological data of silicosis mortality obtained from the Centers for Disease Control and Prevention for the same study period. Statistically significant correlations with epidemiological data of silicosis (r=0.805, p-value <0.05) and other related web searches were found. The temporal trend well correlated with the epidemiological data, as well as the geospatial distribution of the web-activities with the geographic epidemiology of silicosis. Elsevier 2016-11-13 /pmc/articles/PMC5198853/ /pubmed/28054008 http://dx.doi.org/10.1016/j.dib.2016.11.021 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Bragazzi, Nicola Luigi
Dini, Guglielmo
Toletone, Alessandra
Brigo, Francesco
Durando, Paolo
Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title_full Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title_fullStr Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title_full_unstemmed Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title_short Infodemiological data concerning silicosis in the USA in the period 2004–2010 correlating with real-world statistical data
title_sort infodemiological data concerning silicosis in the usa in the period 2004–2010 correlating with real-world statistical data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198853/
https://www.ncbi.nlm.nih.gov/pubmed/28054008
http://dx.doi.org/10.1016/j.dib.2016.11.021
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