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Estimating suicide occurrence statistics using Google Trends
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 Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are relea...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175644/ https://www.ncbi.nlm.nih.gov/pubmed/32355600 http://dx.doi.org/10.1140/epjds/s13688-016-0094-0 |
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author | Kristoufek, Ladislav Moat, Helen Susannah Preis, Tobias |
author_facet | Kristoufek, Ladislav Moat, Helen Susannah Preis, Tobias |
author_sort | Kristoufek, Ladislav |
collection | PubMed |
description | 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 Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of Google searches for the terms ‘depression’ and ‘suicide’ relate to the number of suicides between 2004 and 2013. We find that estimates drawing on Google data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term ‘depression’ is related to fewer suicides, whereas a greater number of searches for the term ‘suicide’ is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1140/epjds/s13688-016-0094-0) contains supplementary material. |
format | Online Article Text |
id | pubmed-7175644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71756442020-04-28 Estimating suicide occurrence statistics using Google Trends Kristoufek, Ladislav Moat, Helen Susannah Preis, Tobias EPJ Data Sci Regular Article 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 Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of Google searches for the terms ‘depression’ and ‘suicide’ relate to the number of suicides between 2004 and 2013. We find that estimates drawing on Google data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term ‘depression’ is related to fewer suicides, whereas a greater number of searches for the term ‘suicide’ is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1140/epjds/s13688-016-0094-0) contains supplementary material. Springer Berlin Heidelberg 2016-11-08 2016 /pmc/articles/PMC7175644/ /pubmed/32355600 http://dx.doi.org/10.1140/epjds/s13688-016-0094-0 Text en © Kristoufek et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Regular Article Kristoufek, Ladislav Moat, Helen Susannah Preis, Tobias Estimating suicide occurrence statistics using Google Trends |
title | Estimating suicide occurrence statistics using Google Trends |
title_full | Estimating suicide occurrence statistics using Google Trends |
title_fullStr | Estimating suicide occurrence statistics using Google Trends |
title_full_unstemmed | Estimating suicide occurrence statistics using Google Trends |
title_short | Estimating suicide occurrence statistics using Google Trends |
title_sort | estimating suicide occurrence statistics using google trends |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175644/ https://www.ncbi.nlm.nih.gov/pubmed/32355600 http://dx.doi.org/10.1140/epjds/s13688-016-0094-0 |
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