Cargando…
Diet during the COVID-19 pandemic: An analysis of Twitter data
In this study, we measured the association between county characteristics and changes in healthy-food, fast-food, and alcohol tweets during the COVID-19 pandemic in the United States. Our analytic dataset consisted of 1,282,316 geotagged tweets that referenced food consumption posted before (63.2%)...
Autores principales: | Hernandez, Mark A., Modi, Shagun, Mittal, Kanisha, Dwivedi, Pallavi, Nguyen, Quynh C., Cesare, Nina L., Nsoesie, Elaine O. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197791/ https://www.ncbi.nlm.nih.gov/pubmed/35721836 http://dx.doi.org/10.1016/j.patter.2022.100547 |
Ejemplares similares
-
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) -
Discussions of miscarriage and preterm births on Twitter
por: Cesare, Nina, et al.
Publicado: (2020) -
Social media captures demographic and regional physical activity
por: Cesare, Nina, et al.
Publicado: (2019) -
Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project
por: Harris, Jenine K., et al.
Publicado: (2017) -
Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample
por: Huang, Dina, et al.
Publicado: (2020)