Prediction of COVID-19 spreading profiles in South Korea, Italy and Iran by data-driven coding

This work applies a data-driven coding method for prediction of the COVID-19 spreading profile in any given population that shows an initial phase of epidemic progression. Based on the historical data collected for COVID-19 spreading in 367 cities in China and the set of parameters of the augmented...

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Detalles Bibliográficos
Autores principales: Zhan, Choujun, Tse, Chi K., Lai, Zhikang, Hao, Tianyong, Su, Jingjing
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/PMC7337285/
https://www.ncbi.nlm.nih.gov/pubmed/32628673
http://dx.doi.org/10.1371/journal.pone.0234763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337285/
https://www.ncbi.nlm.nih.gov/pubmed/32628673
http://dx.doi.org/10.1371/journal.pone.0234763

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