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Toothpaste-related interests of Google users from different countries
DI PROFIO, Bruna; LOTTO, Matheus; AGUIRRE, Patricia Estefania Ayala; VILLAR, Cristina Cunha; ROMITO, Giuseppe Alexandre; BRAGA, Mariana Minatel; CRUVINEL, Thiago; PANNUTI, Cláudio Mendes.
  • DI PROFIO, Bruna; Universidade de São Paulo. School of Dentistry. Department of Stomatology. São Paulo. BR
  • LOTTO, Matheus; Universidade de São Paulo. Bauru School of Dentistry. Department of Pediatric Dentistry, Orthodontics, and Public Health. Bauru. BR
  • AGUIRRE, Patricia Estefania Ayala; Universidade de São Paulo. Bauru School of Dentistry. Department of Pediatric Dentistry, Orthodontics, and Public Health. Bauru. BR
  • VILLAR, Cristina Cunha; Universidade de São Paulo. School of Dentistry. Department of Stomatology. São Paulo. BR
  • ROMITO, Giuseppe Alexandre; Universidade de São Paulo. School of Dentistry. Department of Stomatology. São Paulo. BR
  • BRAGA, Mariana Minatel; Universidade de São Paulo. School of Dentistry. Department of Pediatric Dentistry. São Paulo. BR
  • CRUVINEL, Thiago; Universidade de São Paulo. Bauru School of Dentistry. Department of Pediatric Dentistry, Orthodontics, and Public Health. Bauru. BR
  • PANNUTI, Cláudio Mendes; Universidade de São Paulo. School of Dentistry. Department of Stomatology. São Paulo. BR
Braz. oral res. (Online) ; 37: e124, 2023. tab, graf
Article in English | LILACS-Express | LILACS, BBO | ID: biblio-1528129
ABSTRACT
Abstract The Internet is a growing source of knowledge and can provide information about oral health. This ecological study aimed to characterize the interests in toothpaste among Google users from different countries. Our hypothesis was that there would be an increase in Google users' interest in information about toothpaste. This retrospective longitudinal ecological study analyzed the toothpaste-related interest of Google users from 10 countries between January 2004 and December 2020. The monthly variation in relative search volume (RSV) and the main related queries were determined using Google Trends. Autoregressive integrated moving average (ARIMA) forecasting models were built to establish the predictive RSV values for toothpaste for an additional 12 months. Autocorrelation plots and the generalized additive model (GAM) were used to diagnose trends and seasonality in RSV curves. Additionally, the influence of social isolation related to the outbreak of COVID-19 was analyzed. Although not detected by autocorrelation function (ACF) and partial autocorrelation function (PACF) analyses, the heuristic analysis showed an increase in the interest in toothpaste-related information in all countries, with a stable trend observed in the 12-month forecasts, except for the increases in the United Kingdom and South Africa. Also, GAM analyses demonstrated a non-significant monthly or quarterly seasonal influence on data. In addition, social isolation during the COVID-19 pandemic did not influence the online information-seeking behavior of Google Search users linked to this topic. We confirmed the hypothesis that the interest of Google Search users in information about toothpaste increased in all of the 10 assessed countries.


Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Language: English Journal: Braz. oral res. (Online) Journal subject: Dentistry Year: 2023 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Language: English Journal: Braz. oral res. (Online) Journal subject: Dentistry Year: 2023 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR