A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter

The rapidly evolving outbreak of COVID-19 presents challenges for actively monitoring its spread. In this study, we assessed a social media mining approach for automatically analyzing the chronological and geographical distribution of users in the United States reporting personal information related...

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Detalles Bibliográficos
Autores principales: Klein, Ari Z., Magge, Arjun, O’Connor, Karen M.S., Cai, Haitao, Weissenbacher, Davy, Gonzalez-Hernandez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276035/
https://www.ncbi.nlm.nih.gov/pubmed/32511608
http://dx.doi.org/10.1101/2020.04.19.20069948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276035/
https://www.ncbi.nlm.nih.gov/pubmed/32511608
http://dx.doi.org/10.1101/2020.04.19.20069948

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