Cargando…
Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis
BACKGROUND: A substantial amount of COVID-19–related data is generated by Twitter users every day. Self-reports of COVID-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-reports can be used as a valuable resource to learn more...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677592/ https://www.ncbi.nlm.nih.gov/pubmed/33119539 http://dx.doi.org/10.2196/21329 |