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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2018
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| 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 |