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

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of Medical Internet Research vol. 27 (2025), p. e51638
1. Verfasser:	Li, Chuqin
Weitere Verfasser:	Jordan, Alexis, Ge, Yaorong, Park, Albert
Veröffentlicht:	Gunther Eysenbach MD MPH, Associate Professor
Schlagworte:	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
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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