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Analysis of the interests of Google users on toothache information

BACKGROUND: The knowledge on health interests of a given population of Internet users might contribute to the increase of evidence on community’s dental needs, and consequently, to the improvement of public health planning. The frequency of searches for specific issues on Google can be analyzed by t...

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Autores principales: Lotto, Matheus, Ayala Aguirre, Patricia Estefania, Rios, Daniela, Andrade Moreira Machado, Maria Aparecida, Pereira Cruvinel, Agnes Fátima, Cruvinel, Thiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648146/
https://www.ncbi.nlm.nih.gov/pubmed/29049315
http://dx.doi.org/10.1371/journal.pone.0186059
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author Lotto, Matheus
Ayala Aguirre, Patricia Estefania
Rios, Daniela
Andrade Moreira Machado, Maria Aparecida
Pereira Cruvinel, Agnes Fátima
Cruvinel, Thiago
author_facet Lotto, Matheus
Ayala Aguirre, Patricia Estefania
Rios, Daniela
Andrade Moreira Machado, Maria Aparecida
Pereira Cruvinel, Agnes Fátima
Cruvinel, Thiago
author_sort Lotto, Matheus
collection PubMed
description BACKGROUND: The knowledge on health interests of a given population of Internet users might contribute to the increase of evidence on community’s dental needs, and consequently, to the improvement of public health planning. The frequency of searches for specific issues on Google can be analyzed by the application of Google Trends. AIM: In this study, we aimed to characterize the interests on toothache information of Google users from the United States, United Kingdom, Australia and Brazil. METHODS: The monthly variation of relative search volume (RSV) and the lists of main toothache-related queries were determined from January 2004 through April 2016 using Google Trends. Autoregressive Integrated Moving Average (ARIMA) forecasting models were developed to determine predictive RSV values for toothache for additional 12 months. Autocorrelation plots and general additive model (GAM) were applied to determine trends and seasonality in RSV curves. Through linear regression models, we assessed the association between the variation of annual means of RSV values and national statistics for toothache in the U.S. and U.K. Subsequently, the distribution of main queries according to the identification of endodontic pain, type of searching information, and the interest in self-management of toothache was evaluated for the four countries. RESULTS: The autocorrelation plots showed patterns of non-stationary time series. The monthly variation influenced the data of the U.S. and U.K., with the higher RSV values found respectively in January/July and December. Also, the interest on toothache in the U.K. increases in the second semester and in the fourth quarter, especially in December. Additionally, an annual variation affected significantly all time series, with the increment of RSV means over the years, varying from 265% in the U.S. to 745% in Brazil. In parallel, the increments in RSV values were also observed in all predictive curves. The annual variation of observed and fitted RSV values was directly associated with the increase of toothache visits in the U.S. and urgent dental treatments in the U.K. Moreover, the queries typed on Google were markedly linked to searches on endodontic pain information, especially in Brazil, where the residents usually searched for relief and/or self-management of pain. CONCLUSIONS: Therefore, these findings indicate an increasing interest of Google users on toothache-related topics, regardless of country and season. The Internet activity can be used by policy makers as a complementary source of data for the development and implementation of strategies to control and prevent toothache complications.
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spelling pubmed-56481462017-11-03 Analysis of the interests of Google users on toothache information Lotto, Matheus Ayala Aguirre, Patricia Estefania Rios, Daniela Andrade Moreira Machado, Maria Aparecida Pereira Cruvinel, Agnes Fátima Cruvinel, Thiago PLoS One Research Article BACKGROUND: The knowledge on health interests of a given population of Internet users might contribute to the increase of evidence on community’s dental needs, and consequently, to the improvement of public health planning. The frequency of searches for specific issues on Google can be analyzed by the application of Google Trends. AIM: In this study, we aimed to characterize the interests on toothache information of Google users from the United States, United Kingdom, Australia and Brazil. METHODS: The monthly variation of relative search volume (RSV) and the lists of main toothache-related queries were determined from January 2004 through April 2016 using Google Trends. Autoregressive Integrated Moving Average (ARIMA) forecasting models were developed to determine predictive RSV values for toothache for additional 12 months. Autocorrelation plots and general additive model (GAM) were applied to determine trends and seasonality in RSV curves. Through linear regression models, we assessed the association between the variation of annual means of RSV values and national statistics for toothache in the U.S. and U.K. Subsequently, the distribution of main queries according to the identification of endodontic pain, type of searching information, and the interest in self-management of toothache was evaluated for the four countries. RESULTS: The autocorrelation plots showed patterns of non-stationary time series. The monthly variation influenced the data of the U.S. and U.K., with the higher RSV values found respectively in January/July and December. Also, the interest on toothache in the U.K. increases in the second semester and in the fourth quarter, especially in December. Additionally, an annual variation affected significantly all time series, with the increment of RSV means over the years, varying from 265% in the U.S. to 745% in Brazil. In parallel, the increments in RSV values were also observed in all predictive curves. The annual variation of observed and fitted RSV values was directly associated with the increase of toothache visits in the U.S. and urgent dental treatments in the U.K. Moreover, the queries typed on Google were markedly linked to searches on endodontic pain information, especially in Brazil, where the residents usually searched for relief and/or self-management of pain. CONCLUSIONS: Therefore, these findings indicate an increasing interest of Google users on toothache-related topics, regardless of country and season. The Internet activity can be used by policy makers as a complementary source of data for the development and implementation of strategies to control and prevent toothache complications. Public Library of Science 2017-10-19 /pmc/articles/PMC5648146/ /pubmed/29049315 http://dx.doi.org/10.1371/journal.pone.0186059 Text en © 2017 Lotto et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lotto, Matheus
Ayala Aguirre, Patricia Estefania
Rios, Daniela
Andrade Moreira Machado, Maria Aparecida
Pereira Cruvinel, Agnes Fátima
Cruvinel, Thiago
Analysis of the interests of Google users on toothache information
title Analysis of the interests of Google users on toothache information
title_full Analysis of the interests of Google users on toothache information
title_fullStr Analysis of the interests of Google users on toothache information
title_full_unstemmed Analysis of the interests of Google users on toothache information
title_short Analysis of the interests of Google users on toothache information
title_sort analysis of the interests of google users on toothache information
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648146/
https://www.ncbi.nlm.nih.gov/pubmed/29049315
http://dx.doi.org/10.1371/journal.pone.0186059
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