Data for: Search Trends Preceding Increases in Suicide: A Cross-correlation Study with Transfer Function Models of Monthly Google Search Volume and Suicide Rate

Published: 13 Nov 2019 | Version 1 | DOI: 10.17632/cwh9zx895f.1
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Description of this data

This is the data used in the cross-correlation analysis between monthly search-volumes of suicide-related search terms and monthly suicide rates in the United States between 2004 and 2017.

Experiment data files

This data is associated with the following publication:

Search trends preceding increases in suicide: A cross-correlation study of monthly Google search volume and suicide rate using transfer function models

Published in: Journal of Affective Disorders

Latest version

  • Version 1

    2019-11-13

    Published: 2019-11-13

    DOI: 10.17632/cwh9zx895f.1

    Cite this dataset

    Lee, Joo-Young (2019), “Data for: Search Trends Preceding Increases in Suicide: A Cross-correlation Study with Transfer Function Models of Monthly Google Search Volume and Suicide Rate”, Mendeley Data, v1 http://dx.doi.org/10.17632/cwh9zx895f.1

Statistics

Views: 141
Downloads: 19

Categories

Anxiety, Employment, Internet, Search Engine, Suicide, Sleep

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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