Unknown

Dataset Information

0

Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study.


ABSTRACT: BACKGROUND:Real-time global mental health surveillance is urgently needed for tracking the long-term impact of the COVID-19 pandemic. OBJECTIVE:This study aimed to use Google Trends data to investigate the impact of the pandemic on global mental health by analyzing three keywords indicative of mental distress: "insomnia," "depression," and "suicide." METHODS:We examined increases in search queries for 19 countries. Significant increases were defined as the actual daily search value (from March 20 to April 19, 2020) being higher than the 95% CIs of the forecast from the 3-month baseline via ARIMA (autoregressive integrated moving average) modeling. We examined the correlation between increases in COVID-19-related deaths and the number of days with significant increases in search volumes for insomnia, depression, and suicide across multiple nations. RESULTS:The countries with the greatest increases in searches for insomnia were Iran, Spain, the United States, and Italy; these countries exhibited a significant increase in insomnia searches on more than 10 of the 31 days observed. The number of COVID-19-related deaths was positively correlated to the number of days with an increase in searches for insomnia in the 19 countries (?=0.64, P=.003). By contrast, there was no significant correlation between the number of deaths and increases in searches for depression (?=-0.12, P=.63) or suicide (?=-0.07, P=.79). CONCLUSIONS:Our analysis suggests that insomnia could be a part of routine mental health screening during the COVID-19 pandemic.

SUBMITTER: Lin YH 

PROVIDER: S-EPMC7508633 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study.

Lin Yu-Hsuan YH   Chiang Ting-Wei TW   Lin Yu-Lun YL  

Journal of medical Internet research 20200921 9


<h4>Background</h4>Real-time global mental health surveillance is urgently needed for tracking the long-term impact of the COVID-19 pandemic.<h4>Objective</h4>This study aimed to use Google Trends data to investigate the impact of the pandemic on global mental health by analyzing three keywords indicative of mental distress: "insomnia," "depression," and "suicide."<h4>Methods</h4>We examined increases in search queries for 19 countries. Significant increases were defined as the actual daily sear  ...[more]

Similar Datasets

| S-EPMC7853234 | biostudies-literature
| S-EPMC5116664 | biostudies-literature
| S-EPMC9815859 | biostudies-literature
| S-EPMC6640069 | biostudies-other
| S-EPMC9347492 | biostudies-literature
| S-EPMC5519005 | biostudies-literature
| S-EPMC7037174 | biostudies-literature
| S-EPMC6436381 | biostudies-literature
| S-EPMC8570473 | biostudies-literature
| S-EPMC10194934 | biostudies-literature