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COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation
The COVID-19 pandemic has caused a pronounced disturbance in the social environments and economies of many countries worldwide. Credible forecasting methods to predict the pandemic’s progress can allow countries to control the disease’s spread and decrease the number of severe cases. This study pres...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576929/ https://www.ncbi.nlm.nih.gov/pubmed/36277990 http://dx.doi.org/10.1016/j.eswa.2022.119034 |