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Transportation, germs, culture: a dynamic graph model of COVID-19 outbreak
BACKGROUND: Various models have been applied to predict the trend of the epidemic since the outbreak of COVID-19. METHODS: In this study, we designed a dynamic graph model, not for precisely predicting the number of infected cases, but for a glance of the dynamics under a public epidemic emergency s...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Higher Education Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479740/ https://www.ncbi.nlm.nih.gov/pubmed/32923014 http://dx.doi.org/10.1007/s40484-020-0215-4 |