Mental Health Interest and Its Prediction during the Covid-19 Pandemic Using Google Trends
Bibliographic Data
| ID | 15485315 |
|---|---|
| Authors | Magdalena 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, corresponding author) |
| Year | 2021 |
| Volume | 18 |
| Issue | 23 |
| Pages | 12369-12369 |
| Publication date | 2021-11-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182312369 |
| PMID | 34886094 |
| OpenAlex | W3216188600 |
| Language | EN |
| Citations received | 3 |
| References cited | 45 |
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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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |