Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

BACKGROUND: Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific are...

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Detalles Bibliográficos
Autores principales: Tana, Jonas Christoffer, Kettunen, Jyrki, Eirola, Emil, Paakkonen, Heikki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990858/
https://www.ncbi.nlm.nih.gov/pubmed/29792291
http://dx.doi.org/10.2196/mental.9152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990858/
https://www.ncbi.nlm.nih.gov/pubmed/29792291
http://dx.doi.org/10.2196/mental.9152

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