Effects That Cause the Instability of the Positive Equilibrium for Simple Pathogen Dynamics Models

It is well known that a time delay can cause the instability of the equilibrium. In the case of pathogen dynamics models, the absorption effect (when pathogens invade target cells, they are absorbed into cells and disappear from blood) also can cause the instability. Besides the two effects above, introducing an immune response variable into a pathogen dynamics model can cause the instability. This paper shows, for the models lacking one or more of the three effects, the positive equilibrium is always stable. Moreover, it shows that, for the model incorporating all the three effects, the positive equilibrium can be unstable.

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Journal
Funkcialaj Ekvacioj
Published
2024-12-03
DOI
https://doi.org/10.1619/fesi.67.327
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Effects That Cause the Instability of the Positive Equilibrium for Simple Pathogen Dynamics Models

Yoji Otani, Toru Sasaki, Tsuyoshi Kajiwara, Yuki Ishimaru
Funkcialaj Ekvacioj
Mathematical and Theoretical Epidemiology and Ecology Models
article

Effects That Cause the Instability of the Positive Equilibrium for Simple Pathogen Dynamics Models

Yoji Otani, Toru Sasaki, Tsuyoshi Kajiwara, Yuki Ishimaru
article en

Abstract

It is well known that a time delay can cause the instability of the equilibrium. In the case of pathogen dynamics models, the absorption effect (when pathogens invade target cells, they are absorbed into cells and disappear from blood) also can cause the instability. Besides the two effects above, introducing an immune response variable into a pathogen dynamics model can cause the instability. This paper shows, for the models lacking one or more of the three effects, the positive equilibrium is always stable. Moreover, it shows that, for the model incorporating all the three effects, the positive equilibrium can be unstable.

Funkcialaj EkvaciojVol. 67(3)
Okayama University (JP)
Climate action
Openalex Percentile: Top 67%
Mathematical and Theoretical Epidemiology and Ecology Models
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