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Inference on COVID-19 Epidemiological Parameters Using Bayesian Survival Analysis
The need to provide accurate predictions in the evolution of the COVID-19 epidemic has motivated the development of different epidemiological models. These models require a careful calibration of their parameters to capture the dynamics of the phenomena and the uncertainty in the data. This work ana...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534885/ https://www.ncbi.nlm.nih.gov/pubmed/34681986 http://dx.doi.org/10.3390/e23101262 |