Evidence map›Paper›PMID 34886094›Full record

ArticleInternational journal of environmental research and public health2021

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

Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Karolina Kłoda, Michele Simeone, Krzysztof Woźniak, Gianrico Spagnuolo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Magdalena Sycińska-DziarnowskaDepartment of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
Liliana Szyszka-SommerfeldDepartment of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.ORCID 0000-0002-1103-1297
Karolina KłodaMEDFIT Karolina Kłoda, 71-050 Szczecin, Poland.ORCID 0000-0003-0395-9826
Michele SimeoneDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Napoli, Italy.
Krzysztof WoźniakDepartment of Orthodontics, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
Gianrico SpagnuoloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", 80131 Napoli, Italy.ORCID 0000-0003-3769-9786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19HumansMental HealthPandemicsSARS-CoV-2Search EngineCOVID-19depressionGoogle Trendsinsomnialonelinessmental healthpsychiatristpsychologist

Identifiers

PMID34886094
PMCPMC8656476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.