Cargando…
Social media captures demographic and regional physical activity
OBJECTIVES: We examined the use of data from social media for surveillance of physical activity prevalence in the USA. METHODS: We obtained data from the social media site Twitter from April 2015 to March 2016. The data consisted of 1 382 284 geotagged physical activity tweets from 481 146 users (55...
Autores principales: | Cesare, Nina, Nguyen, Quynh C, Grant, Christan, Nsoesie, Elaine O |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678033/ https://www.ncbi.nlm.nih.gov/pubmed/31423323 http://dx.doi.org/10.1136/bmjsem-2019-000567 |
Ejemplares similares
-
Use of machine learning methods to understand discussions of female genital mutilation/cutting on social media
por: Babbs, Gray, et al.
Publicado: (2023) -
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
por: Santillana, Mauricio, et al.
Publicado: (2015) -
Disparities in digital reporting of illness: A demographic and socioeconomic assessment
por: Henly, Samuel, et al.
Publicado: (2017) -
Diet during the COVID-19 pandemic: An analysis of Twitter data
por: Hernandez, Mark A., et al.
Publicado: (2022) -
Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity
por: Nguyen, Quynh C, et al.
Publicado: (2016)