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Cross-sectional analysis and data-driven forecasting of confirmed COVID-19 cases
The coronavirus disease 2019 (COVID-19) is rapidly becoming one of the leading causes for mortality worldwide. Various models have been built in previous works to study the spread characteristics and trends of the COVID-19 pandemic. Nevertheless, due to the limited information and data source, the u...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256957/ https://www.ncbi.nlm.nih.gov/pubmed/34764608 http://dx.doi.org/10.1007/s10489-021-02616-8 |