Toothpaste-related interests of Google users from different countries

Author(s)

Di Profio, Bruna ; Lotto, Matheus ; Ayala Aguirre, Patricia Estefania ; Villar, Cristina Cunha ; Romito, Giuseppe Alexandre ; Braga, Mariana Minatel ; Cruvinel, Thiago ; Pannuti, Claudio Mendes

• Document type: Journal article
• Source: BRAZILIAN ORAL RESEARCH; v. 37, p. 14-pg., 2023-01-01.

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. (AU)

• FAPESP's process: 19/27242-0 - Fake news in health: the validation of a neural network model for detection of disinformation in Pediatric Dentistry through psychophysiological reactions of internet users
• Grantee: Matheus Lotto de Almeida Souza
• Support Opportunities: Scholarships in Brazil - Doctorate