COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining

The outbreak of the novel coronavirus, COVID-19, has become one of the most severe pandemics in human history. In this paper, we propose to leverage social media users as social sensors to simultaneously predict the pandemic trends and suggest potential risk factors for public health experts to unde...

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Detalles Bibliográficos
Autores principales: Jiang, Jyun-Yu, Zhou, Yichao, Chen, Xiusi, Jhou, Yan-Ru, Zhao, Liqi, Liu, Sabrina, Yang, Po-Chun, Ahmar, Jule, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607148/
https://www.ncbi.nlm.nih.gov/pubmed/34802278
http://dx.doi.org/10.1098/rsta.2021.0125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607148/
https://www.ncbi.nlm.nih.gov/pubmed/34802278
http://dx.doi.org/10.1098/rsta.2021.0125

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