Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study

Salvato in:

Dettagli Bibliografici
Pubblicato in:	Journal of Medical Internet Research vol. 27 (2025), p. e51638
Autore principale:	Li, Chuqin
Altri autori:	Jordan, Alexis, Ge, Yaorong, Park, Albert
Pubblicazione:	Gunther Eysenbach MD MPH, Associate Professor
Soggetti:	United States > US Risk behavior Long term Healthy food Food consumption Social networks Health status Emotions Popularity COVID-19 Shelter in place Learning Habits Behavior change Change agents Sentiment analysis Social media Obesity Pandemics Neural networks Meals Breakfast Surveillance systems Imagery Behavior modification Surveillance Classification Deep learning Mass media effects Eating behavior Risk assessment Computer mediated communication Data Deaths Changes Rates Mass media images Behavior Health behavior Text analysis Attitudes Viruses Consumption Learning outcomes Mental health Observational studies Diet Risk factors Food
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Lascia un commento!