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...

Descripción completa

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

Internet

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

Ejemplares similares