Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data

This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 citi...

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Detalles Bibliográficos
Autores principales: Zhan, Choujun, Tse, Chi K., Fu, Yuxia, Lai, Zhikang, Zhang, Haijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591076/
https://www.ncbi.nlm.nih.gov/pubmed/33108386
http://dx.doi.org/10.1371/journal.pone.0241171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591076/
https://www.ncbi.nlm.nih.gov/pubmed/33108386
http://dx.doi.org/10.1371/journal.pone.0241171

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