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Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource

OBJECTIVE: To mine Twitter and quantitatively analyze COVID-19 symptoms self-reported by users, compare symptom distributions across studies, and create a symptom lexicon for future research. MATERIALS AND METHODS: We retrieved tweets using COVID-19-related keywords, and performed semiautomatic filt...

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Detalles Bibliográficos
Autores principales:	Sarker, Abeed, Lakamana, Sahithi, Hogg-Bremer, Whitney, Xie, Angel, Al-Garadi, Mohammed Ali, Yang, Yuan-Chi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Brief Communications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337747/ https://www.ncbi.nlm.nih.gov/pubmed/32620975 http://dx.doi.org/10.1093/jamia/ocaa116

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