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Describing the COVID-19 outbreak during the lockdown: fitting modified SIR models to data
In this paper, we analyse the COVID-19 outbreak data with simple modifications of the SIR compartmental model, in order to understand the time evolution of the cases in Italy and Germany, during the first half of 2020. Even if the complexity of the pandemic cannot be easily described, we show that o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640580/ https://www.ncbi.nlm.nih.gov/pubmed/33169093 http://dx.doi.org/10.1140/epjp/s13360-020-00895-7 |