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Mental Health Interest and Its Prediction during the Covid-19 Pandemic Using Google Trends

Dados Bibliográficos

ID15485315
AutoresMagdalena Sycińska-Dziarnowska (0000-0002-4794-8216, Pomeranian Medical University), Liliana Szyszka‐Sommerfeld (0000-0002-1103-1297, Pomeranian Medical University), Karolina Kłoda (0000-0003-0395-9826, MEDFIT Karolina Kłoda, 71-050 Szczecin, Poland), Michele Simeone (University of Naples Federico II), Krzysztof Woźniak (0000-0002-5088-8760, Pomeranian Medical University), Gianrico Spagnuolo (0000-0003-3769-9786, Sechenov University, autor correspondente)
Ano2021
Volume18
Fascículo23
Páginas12369-12369
Data de publicação2021-11-24
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182312369
PMID34886094
OpenAlexW3216188600
IdiomaEN
Citações recebidas3
Referências citadas45

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

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Environmental health · Mental health · Outbreak · Pandemic · Psychiatry · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Computer Science · COVID-19 and Mental Health · Digital Mental Health Interventions · Medicine · Mental Health via Writing · Internal Medicine · Virology

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Obras citantes distintas3
Citações por ano0,75
Intervalo de citações2022 - 2024 (3)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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