Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States
Background: No previous study has investigated correlations between monthly Google search volumes (MGSVs) of suicide-related search terms and suicide-method specific monthly suicide rates (MSRs). This study examined if the trends in MGSVs of suicide-related terms preceded the variations in method-sp...
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doaj-34c37630c7d642efa17701af099c61ff2021-07-17T04:35:32ZengElsevierJournal of Affective Disorders Reports2666-91532021-07-015100181Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United StatesJoo-Young Lee0Angeline Pham1Jonathan Wong2Zhuoheng Deng3Department of Psychiatry, University of Maryland Medical Center, Baltimore, MD, USA; Corresponding author.Department of Psychiatry, University of Maryland Medical Center, Baltimore, MD, USANorthport VA Medical Center, Northport, NY, USADepartment of Psychiatry, University of Maryland Medical Center, Baltimore, MD, USABackground: No previous study has investigated correlations between monthly Google search volumes (MGSVs) of suicide-related search terms and suicide-method specific monthly suicide rates (MSRs). This study examined if the trends in MGSVs of suicide-related terms preceded the variations in method-specific MSRs. Methods: MGSVs of 97 candidate suicide-related terms were obtained by averaging 10 timeseries data per term retrieved from Google Trends. Robust time-series analysis methods were applied to MGSVs and firearm-, poisoning-, and asphyxiation-specific MSRs in the United States between 2004 and 2017. Cross-correlation coefficients between MGSVs and methodspecific MSRs were calculated at lags of −3 to −1 (months). In the main analysis, the Benjamini-Hochberg procedure was applied to determine significant correlations while minimizing falsepositive findings. Afterwards, a sensitivity analysis identified the cross-correlations reproducible in two different time spans. Results: Fifty-six search terms with no invalid MGSV data were analyzed. MGSVs of 14 terms correlated with firearm-, poisoning-, or asphyxiation-specific MSRs in one or more lags. In the sensitivity analysis, two terms consistently showed significant positive cross-correlations: gun suicide (with firearm-specific suicides; lag -3) and “laid off” (with poisoning- and asphyxiationspecific suicides; lag -2). Limitations: Age- or gender-specific search volumes, lags outside the 1- to 3-month range, non-English searches, and confounding factors of MGSV and MSR were not explored. Conclusions: MGSVs of one firearm-related term (gun suicide) correlated with future firearmspecific MSRs. MGSVs of one method-neutral term (“laid off”) correlated with future poisoning- and asphyxiation-specific MSRs. These terms may be incorporated in novel nowcasting or predictive models for method-specific suicides.http://www.sciencedirect.com/science/article/pii/S2666915321001086SuicideFirearmGoogle trendsTime-series analysisInfoveillanceInfodemiology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joo-Young Lee Angeline Pham Jonathan Wong Zhuoheng Deng |
spellingShingle |
Joo-Young Lee Angeline Pham Jonathan Wong Zhuoheng Deng Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States Journal of Affective Disorders Reports Suicide Firearm Google trends Time-series analysis Infoveillance Infodemiology |
author_facet |
Joo-Young Lee Angeline Pham Jonathan Wong Zhuoheng Deng |
author_sort |
Joo-Young Lee |
title |
Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States |
title_short |
Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States |
title_full |
Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States |
title_fullStr |
Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States |
title_full_unstemmed |
Firearm-related internet searches as a correlate of future firearm suicides: Cross-correlation analyses of monthly Google search volumes and method-specific suicide rates in the United States |
title_sort |
firearm-related internet searches as a correlate of future firearm suicides: cross-correlation analyses of monthly google search volumes and method-specific suicide rates in the united states |
publisher |
Elsevier |
series |
Journal of Affective Disorders Reports |
issn |
2666-9153 |
publishDate |
2021-07-01 |
description |
Background: No previous study has investigated correlations between monthly Google search volumes (MGSVs) of suicide-related search terms and suicide-method specific monthly suicide rates (MSRs). This study examined if the trends in MGSVs of suicide-related terms preceded the variations in method-specific MSRs. Methods: MGSVs of 97 candidate suicide-related terms were obtained by averaging 10 timeseries data per term retrieved from Google Trends. Robust time-series analysis methods were applied to MGSVs and firearm-, poisoning-, and asphyxiation-specific MSRs in the United States between 2004 and 2017. Cross-correlation coefficients between MGSVs and methodspecific MSRs were calculated at lags of −3 to −1 (months). In the main analysis, the Benjamini-Hochberg procedure was applied to determine significant correlations while minimizing falsepositive findings. Afterwards, a sensitivity analysis identified the cross-correlations reproducible in two different time spans. Results: Fifty-six search terms with no invalid MGSV data were analyzed. MGSVs of 14 terms correlated with firearm-, poisoning-, or asphyxiation-specific MSRs in one or more lags. In the sensitivity analysis, two terms consistently showed significant positive cross-correlations: gun suicide (with firearm-specific suicides; lag -3) and “laid off” (with poisoning- and asphyxiationspecific suicides; lag -2). Limitations: Age- or gender-specific search volumes, lags outside the 1- to 3-month range, non-English searches, and confounding factors of MGSV and MSR were not explored. Conclusions: MGSVs of one firearm-related term (gun suicide) correlated with future firearmspecific MSRs. MGSVs of one method-neutral term (“laid off”) correlated with future poisoning- and asphyxiation-specific MSRs. These terms may be incorporated in novel nowcasting or predictive models for method-specific suicides. |
topic |
Suicide Firearm Google trends Time-series analysis Infoveillance Infodemiology |
url |
http://www.sciencedirect.com/science/article/pii/S2666915321001086 |
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