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Monitoring Italian COVID-19 spread by a forced SEIRD model
Due to the recent evolution of the COVID-19 outbreak, the scientific community is making efforts to analyse models for understanding the present situation and for predicting future scenarios. In this paper, we propose a forced Susceptible-Exposed-Infected-Recovered-Dead (fSEIRD) differential model f...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7410324/ https://ncbi.nlm.nih.gov/pubmed/32760133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237417 |
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