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Mathematical Models and Computer Simulations

Erschienen in:

01.12.2023

Mathematical Model of COVID-19 Progression: Prediction of Severity and Outcome

verfasst von: V. Ya. Kisselevskaya-Babinina, A. A. Romanyukha, T. E. Sannikova

Erschienen in: Mathematical Models and Computer Simulations | Ausgabe 6/2023

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Abstract

The objective of the study is to develop a method that enables to predict disease severity at the moment of admission to an intensive care unit and to choose appropriate respiratory support. The problem of patient classification by disease course is solved by using information about comorbid chronic states and a modified comorbidity index. To prove the applicability of the index for severe COVID-19 patients, we developed a mathematical model for disease progression. The estimated values of the model parameters showed the difference between probabilities of transition to critical states and/or lethal outcome in different groups.

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Titel: Mathematical Model of COVID-19 Progression: Prediction of Severity and Outcome
verfasst von: V. Ya. Kisselevskaya-Babinina
A. A. Romanyukha
T. E. Sannikova
Publikationsdatum: 01.12.2023
Verlag: Pleiades Publishing
Erschienen in: Mathematical Models and Computer Simulations / Ausgabe 6/2023
Print ISSN: 2070-0482
Elektronische ISSN: 2070-0490
DOI: https://doi.org/10.1134/S2070048223060121

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