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Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends
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”, ”l...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656476/ https://www.ncbi.nlm.nih.gov/pubmed/34886094 http://dx.doi.org/10.3390/ijerph182312369 |
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author | Sycińska-Dziarnowska, Magdalena Szyszka-Sommerfeld, Liliana Kłoda, Karolina Simeone, Michele Woźniak, Krzysztof Spagnuolo, Gianrico |
author_facet | Sycińska-Dziarnowska, Magdalena Szyszka-Sommerfeld, Liliana Kłoda, Karolina Simeone, Michele Woźniak, Krzysztof Spagnuolo, Gianrico |
author_sort | Sycińska-Dziarnowska, Magdalena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8656476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86564762021-12-10 Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends Sycińska-Dziarnowska, Magdalena Szyszka-Sommerfeld, Liliana Kłoda, Karolina Simeone, Michele Woźniak, Krzysztof Spagnuolo, Gianrico Int J Environ Res Public Health Article 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. MDPI 2021-11-24 /pmc/articles/PMC8656476/ /pubmed/34886094 http://dx.doi.org/10.3390/ijerph182312369 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sycińska-Dziarnowska, Magdalena Szyszka-Sommerfeld, Liliana Kłoda, Karolina Simeone, Michele Woźniak, Krzysztof Spagnuolo, Gianrico Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title | Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title_full | Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title_fullStr | Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title_full_unstemmed | Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title_short | Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends |
title_sort | mental health interest and its prediction during the covid-19 pandemic using google trends |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656476/ https://www.ncbi.nlm.nih.gov/pubmed/34886094 http://dx.doi.org/10.3390/ijerph182312369 |
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