Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Nov 4, 2022
Date Accepted: Feb 5, 2023

The final, peer-reviewed published version of this preprint can be found here:

Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study

Gilbert B, Lu C, Yom-Tov E

Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study

JMIR Form Res 2023;7:e44055

DOI: 10.2196/44055

PMID: 36947130

PMCID: 10131769

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Tracking anxiety themes using search engine data from 50 countries between 2004 and 2020

  • Barnabas Gilbert; 
  • Chunling Lu; 
  • Elad Yom-Tov

ABSTRACT

Background:

Anxiety disorders are the most prevalent mental disorders globally, with significant impact on quality of life. Understanding anxiety themes and how they change over time and across countries is crucial to informing adoption of preventive and treatment strategies.

Objective:

The aim of this study was to track the trends in anxiety themes between 2004 and 2020 in the 50 most populous countries with high volumes of internet search data.

Methods:

We used a crowdsourced questionnaire, alongside Bing search query data and Google Trends search volume data, to identify themes associated with anxiety disorders across 50 countries from 2004 to 2020. We analysed themes and their mutual interactions and investigated the associations between countries’ socioeconomic attributes and the anxiety themes using time-series linear models.

Results:

Query volume for anxiety themes was highly stable in countries from 2004 to 2019 (Spearman r=0.89) and moderately correlated with geography (r=0.49 in 2019). Anxiety themes were predominantly long-term and personal, with “having kids”, “pregnancy” and “job” the most voluminous themes in most countries and years. In 2020, “COVID-19” became a dominant theme in 27 countries. Countries with a constant volume of anxiety themes over time had lower fragile state indexes (P=0.0071) and higher individualism (P=0.0032). A rise in the volume of the most searched anxiety themes was associated with a reduction in the volume of the remaining themes in 13 countries and a rise in 17 countries; and these 30 countries had lower prevalence of mental disorders (P=0.0004) than the countries where no correlations were found.

Conclusions:

Internet search data could be a potential source for predicting country-level prevalence of anxiety disorders, especially in under-studied populations or when in-person survey is not viable.


 Citation

Please cite as:

Gilbert B, Lu C, Yom-Tov E

Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study

JMIR Form Res 2023;7:e44055

DOI: 10.2196/44055

PMID: 36947130

PMCID: 10131769

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.