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...

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Detalles Bibliográficos
Autores principales: Yang, Xiaofei, Xu, Tun, Jia, Peng, Xia, Han, Guo, Li, Zhang, Lei, Ye, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Higher Education Press 2020
Materias:
Research Article
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

Internet

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

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