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An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation
The unprecedented outbreak of COVID-19 is one of the most serious global threats to public health in this century. During this crisis, specialists in information science could play key roles to support the efforts of scientists in the health and medical community for combatting COVID-19. In this art...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464068/ http://dx.doi.org/10.1177/0165551520954674 |