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Modeling the Virus Infection at the Population Level.

Authors :
Wu C
Fan X
Tang T
Shen B
Source :
Advances in experimental medicine and biology [Adv Exp Med Biol] 2022; Vol. 1368, pp. 141-166.
Publication Year :
2022

Abstract

As pointed out by many researchers in the last few decades, differential equations with fractional (non-integer) order differential operators, in comparison with classical integer order ones, have apparent advantages in modeling. A Caputo fractional order system of ordinary differential equations is introduced to model the virus infection at the population level in this chapter. As well known, there are two main methods to study the dynamics of a model: qualitative analysis and numerical modeling. Here the qualitative analysis, including uniqueness, invariant set, and stability, is first presented with intuitive derivation. Then the famous genetic algorithm is introduced to numerically model the dynamics of virus infection, i.e. to adjust the parameters of the Caputo fractional model such that its solution can properly fit real data and predict future.<br /> (© 2022. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.)

Subjects

Subjects :
Humans
COVID-19
Virus Diseases

Details

Language :
English
ISSN :
0065-2598
Volume :
1368
Database :
MEDLINE
Journal :
Advances in experimental medicine and biology
Publication Type :
Academic Journal
Accession number :
35594024
Full Text :
https://doi.org/10.1007/978-981-16-8969-7_7