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Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
The world is witnessing the devastating effects of the COVID-19 pandemic. Each country responded to contain the spread of the virus in the early stages through diverse response measures. Interpreting these responses and their patterns globally is essential to inform future responses to COVID-19 vari...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055008/ https://www.ncbi.nlm.nih.gov/pubmed/35528806 http://dx.doi.org/10.1007/s41060-022-00324-1 |