ArticleEPJ data science2016
Estimating suicide occurrence statistics using Google Trends.
Article in EPJ data science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile Health Technology Interventions for Suicide Prevention: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- The association between Google Trends suicide-related Internet searches and self-harm hospitalizations and suicide mortality in Canada.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2026Article
- Rethinking suicide related searches and their association with suicide rates, attempts, and self harm hospitalisation.NPJ digital medicine · 2025Article
- Exploring Suicide-Related Internet Use Among Suicidal Mental Health Patients in the United Kingdom: Cross-Sectional Questionnaire Study.JMIR mental health · 2025Article
- Article
- Suicide prevention-related Google searches and subsequent emergency department visits in California and Arizona, 2007-2015.SSM. Mental health · 2024Article
- Estimating national and state-level suicide deaths using a novel online symptom search data source.Journal of affective disorders · 2023Article
- Association Between Internet Searches Related to Suicide/Self-harm and Adolescent Suicide Death in South Korea in 2016-2020: Secondary Data Analysis.Journal of medical Internet research · 2023Article
- Hindcasts and forecasts of suicide mortality in US: A modeling study.PLoS computational biology · 2023Observational
- Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology.Frontiers in big data · 2023Review
- Article
- Anti-transgender rights legislation and internet searches pertaining to depression and suicide.PloS one · 2022Article
- Vaccine advertising: preach to the converted or to the unaware?NPJ digital medicine · 2021Article
- Can google trends search inform us about the population response and public health impact of abrupt change in alcohol policy? A case study from India during the covid-19 pandemic.The International journal on drug policy · 2021Article
- The quality of online media reporting of celebrity suicide in India and its association with subsequent online suicide-related search behaviour among general population: An infodemiology study.Asian journal of psychiatry · 2020Article
- Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders Are Associated With Alterations in Mental Health Search Behavior in the United States.JMIR mental health · 2020Article
- Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic.PloS one · 2020Article
- Mapping population mental health concerns related to COVID-19 and the consequences of physical distancing: a Google trends analysis.Wellcome open research · 2020Article
- The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland.International journal of environmental research and public health · 2019Article
- How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study.Journal of medical Internet research · 2019Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1140/epjds/s13688-016-0094-0) contains supplementary material.
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What OpenQuestion holds
Registered trials
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.