Sensitivity and identifiability analysis of COVID-19 pandemic models

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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Bibliographic Details
Main Authors: O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya
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
Series:Вавиловский журнал генетики и селекции
Subjects:
parameter sensitivity
identif iability
ordinary differential equations
inverse problems
epidemiology
covid-19
forecasting
novosibirsk region
Online Access:https://vavilov.elpub.ru/jour/article/view/2919

Internet

https://vavilov.elpub.ru/jour/article/view/2919

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