Sensitivity and identifiability analysis of COVID-19 pandemic models
The paper presents the results of sensitivity-based identif iability 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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Main Authors: | O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya |
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Format: | Article |
Language: | English |
Published: |
Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2021-03-01
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Series: | Вавиловский журнал генетики и селекции |
Subjects: | |
Online Access: | https://vavilov.elpub.ru/jour/article/view/2919 |
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