Data-driven multi-scale mathematical modeling of SARS-CoV-2 infection reveals heterogeneity among COVID-19 patients

Patients with coronavirus disease 2019 (COVID-19) often exhibit diverse disease progressions associated with various infectious ability, symptoms, and clinical treatments. To systematically and thoroughly understand the heterogeneous progression of COVID-19, we developed a multi-scale computational...

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Detalles Bibliográficos
Autores principales: Wang, Shun, Hao, Mengqian, Pan, Zishu, Lei, Jinzhi, Zou, Xiufen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654229/
https://www.ncbi.nlm.nih.gov/pubmed/34818337
http://dx.doi.org/10.1371/journal.pcbi.1009587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654229/
https://www.ncbi.nlm.nih.gov/pubmed/34818337
http://dx.doi.org/10.1371/journal.pcbi.1009587

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