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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Materias: | |
| 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 |