Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers

At the end of 2019, a new coronavirus (COVID-19) epidemic has triggered global public health concern. Here, a model integrating the daily intercity migration network, which constructed from real-world migration records and the Susceptible–Exposed–Infected–Removed model, is utilized to predict the ep...

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Detalles Bibliográficos
Autores principales: Zhan, Choujun, Zheng, Yufan, Lai, Zhikang, Hao, Tianyong, Li, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429370/
https://www.ncbi.nlm.nih.gov/pubmed/32836902
http://dx.doi.org/10.1007/s00521-020-05285-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429370/
https://www.ncbi.nlm.nih.gov/pubmed/32836902
http://dx.doi.org/10.1007/s00521-020-05285-9

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