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Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends.
Sycinska-Dziarnowska, Magdalena; Szyszka-Sommerfeld, Liliana; Kloda, Karolina; Simeone, Michele; Wozniak, Krzysztof; Spagnuolo, Gianrico.
  • Sycinska-Dziarnowska M; Department of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
  • Szyszka-Sommerfeld L; Department of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
  • Kloda K; MEDFIT Karolina Kloda, 71-050 Szczecin, Poland.
  • Simeone M; Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Napoli, Italy.
  • Wozniak K; Department of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
  • Spagnuolo G; Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Napoli, Italy.
Int J Environ Res Public Health ; 18(23)2021 11 24.
Article in English | MEDLINE | ID: covidwho-1542513
ABSTRACT
This study aimed to analyze and predict interest in mental health-related queries created in Google Trends (GT) during the COVID-19 pandemic. The Google Trends tool collected data on the Google search engine interest and provided real-time surveillance. Five key phrases "depression", "insomnia", "loneliness", "psychologist", and "psychiatrist", were studied for the period from 25 September 2016 to 19 September 2021. The predictions for the upcoming trend were carried out for the period from September 2021 to September 2023 and were estimated by a hybrid five-component model. The results show a decrease of interest in the search queries "depression" and "loneliness" by 15.3% and 7.2%, respectively. Compared to the period under review, an increase of 5.2% in "insomnia" expression and 8.4% in the "psychiatrist" phrase were predicted. The expression "psychologist" is expected to show an almost unchanged interest. The upcoming changes in the expressions connected with mental health might be explained by vaccination and the gradual removal of social distancing rules. Finally, the analysis of GT can provide a timely insight into the mental health interest of a population and give a forecast for a short period trend.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph182312369

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph182312369