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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Detalhes bibliográficos
Main Authors: O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya
Formato: Artigo
Idioma:Inglês
Publicado em: Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2021-03-01
Colecção:Vavilovskij Žurnal Genetiki i Selekcii
Assuntos:
parameter sensitivity
identif iability
ordinary differential equations
inverse problems
epidemiology
covid-19
forecasting
novosibirsk region
Acesso em linha:https://vavilov.elpub.ru/jour/article/view/2919
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