Abstract

BackgroundPsychological health has been one of the aspects affected by the recent COVID-19 pandemic. We aim to evaluate the patterns of Google search for mental distress symptoms of Italian citizens during the various phases of the COVID-19 pandemic.MethodsWe assessed Google searches for psychological-health related words. We gathered and analyzed data on daily search queries on depression, anxiety, and insomnia from Google Trends, in a time ranging from the Pre-COVID phase (beginning 25th January 2020) up to the second wave phase (ending 17th October 2020). We performed three general linear models on search trends of the three words and tested whether and to what extent official data about new cases of COVID-19, information searching on new cases, and the government health measures impacted on these trends.ResultsAverage daily search queries were higher for anxiety, followed by depression and insomnia. General linear models performed to assess differences in daily search queries for anxiety, depression and insomnia were significant, respectively [F(13, 253) = 6.80, P < .001]; [F(13, 253) = 10.25, P < .001]; [F(13, 253) = 6.61, P < .001].Specifically, daily search queries differed among different phases of managing the COVID-19 outbreak: anxiety [F(5, 253) = 10.35, P < .001, {n}_p^2 = .17]; depression [F(5, 253) = 13.59, P < .001, {n}_p^2 = .21]; insomnia [F(5, 253) = 3.52, P = .004, {n}_p^2 = .07].ConclusionsOur study contributed to the investigation of online information-seeking behaviors of Italians regarding mental health throughout the entire phase of the pandemic and provides insights on the possible future trends of mental distress during upcoming pandemic phases.

Highlights

  • The ongoing coronavirus disease 2019 (COVID-19) pandemic is heavily affecting all aspects of our lives

  • Anxiety, and insomnia, as mental health dimensions proved to be affected by the pandemic [23]

  • Relative search volume (RSV) were not related to daily new cases of COVID-19 [F(1, 253) = 2.04, p = .16, η2p = .01, β = − .13] neither to daily search queries for new cases of COVID-19 [F(1, 253) = 0.05, p = .82, η2p = .00, β = − .02]

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Summary

Introduction

The ongoing coronavirus disease 2019 (COVID-19) pandemic is heavily affecting all aspects of our lives. One in two European citizens searches online for health-related information [5], while the Internet is considered a source of valuable knowledge and advice for mental health issues [6]. Every time we “google it”, we leave a digital footprint, constituting a sum of numerous pieces of valuable information that can and rapidly be used for research [7]. This approach based on online data has been defined as infodemiology, namely “the science of distribution and determinants of information in an electronic medium, the Internet, or in a population, with the ultimate aim to inform public health and public policy” [8]. We aim to evaluate the patterns of Google search for mental distress symptoms of Italian citizens during the various phases of the COVID-19 pandemic

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