Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sycińska-Dziarnowska, Magdalena, Szyszka-Sommerfeld, Liliana, Kłoda, Karolina, Simeone, Michele, Woźniak, Krzysztof, Spagnuolo, Gianrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1784612289830191104
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
work_keys_str_mv AT sycinskadziarnowskamagdalena mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends
AT szyszkasommerfeldliliana mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends
AT kłodakarolina mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends
AT simeonemichele mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends
AT wozniakkrzysztof mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends
AT spagnuologianrico mentalhealthinterestanditspredictionduringthecovid19pandemicusinggoogletrends