Sensitivity and identifiability analysis of COVID-19 pandemic models

The paper presents the results of sensitivity-based identifiability analysis of the COVID-19 pandemic spread models in the Novosibirsk region using the systems of differential equations and mass balance law. The algorithm is built on the sensitivity matrix analysis using the methods of differential...

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Detalles Bibliográficos
Autores principales: Krivorotko, O.I., Kabanikhin, S.I., Sosnovskaya, M.I., Andornaya, D.V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2021
Materias:
Original article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696171/
https://www.ncbi.nlm.nih.gov/pubmed/35083396
http://dx.doi.org/10.18699/VJ21.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696171/
https://www.ncbi.nlm.nih.gov/pubmed/35083396
http://dx.doi.org/10.18699/VJ21.010

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