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A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths
Short-term forecasts of the dynamics of coronavirus disease 2019 (COVID-19) in the period up to its decline following mass vaccination was a task that received much attention but proved difficult to do with high accuracy. However, the availability of standardized forecasts and versioned datasets fro...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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The Royal Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847000/ https://www.ncbi.nlm.nih.gov/pubmed/35167769 http://dx.doi.org/10.1098/rsif.2021.0702 |