Bistability and complex bifurcation diagrams generated by waning and boosting of immunity

We investigate an epidemiological model that incorporates waning of immunity at the individual level and boosting of the immune system upon re-exposure to the pathogen.When immunity is fully restored upon boosting, the system can be expressed as an SIRS-type model with discrete and distributed delays.We conduct a numerical bifurcation analysis varying the boosting force and the maximum period of immunity (in the absence of boosting), while keeping other parameters fixed at values representative of a highly infectious disease like pertussis.The stability switches of the endemic equilibrium, identified numerically, are validated using an established analytical approach, confirming that the equilibrium is unstable in a bounded parameter region, and stable outside this region.Using recently developed continuation methods for models with discrete and distributed delays, we explore periodic solutions and their bifurcations.Our analysis significantly extends previous findings and reveals a rich dynamical landscape, including catastrophic bifurcations of limit cycles, torus bifurcations, and bistability regions where two stable periodic solutions coexist, differing in amplitude and period.These complex bifurcations have critical public health implications: perturbations-such as non-pharmaceutical interventions-can shift the system between attractors, leading to long-term consequences from short-term measures.

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Publication Details

Journal
Journal of Mathematical Biology
Published
2025-08-22
DOI
https://doi.org/10.1007/s00285-025-02264-3
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76

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article

Bistability and complex bifurcation diagrams generated by waning and boosting of immunity

Gergely Röst, Mónika Polner, Maria Vittoria Barbarossa, Francesca Scarabel et al.
2 citations
Journal of Mathematical Biology
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Bistability and complex bifurcation diagrams generated by waning and boosting of immunity

Gergely Röst, Mónika Polner, Maria Vittoria Barbarossa, Francesca Scarabel, Daniel Wylde
article en
2 citations

Abstract

We investigate an epidemiological model that incorporates waning of immunity at the individual level and boosting of the immune system upon re-exposure to the pathogen.When immunity is fully restored upon boosting, the system can be expressed as an SIRS-type model with discrete and distributed delays.We conduct a numerical bifurcation analysis varying the boosting force and the maximum period of immunity (in the absence of boosting), while keeping other parameters fixed at values representative of a highly infectious disease like pertussis.The stability switches of the endemic equilibrium, identified numerically, are validated using an established analytical approach, confirming that the equilibrium is unstable in a bounded parameter region, and stable outside this region.Using recently developed continuation methods for models with discrete and distributed delays, we explore periodic solutions and their bifurcations.Our analysis significantly extends previous findings and reveals a rich dynamical landscape, including catastrophic bifurcations of limit cycles, torus bifurcations, and bistability regions where two stable periodic solutions coexist, differing in amplitude and period.These complex bifurcations have critical public health implications: perturbations-such as non-pharmaceutical interventions-can shift the system between attractors, leading to long-term consequences from short-term measures.

Journal of Mathematical BiologyVol. 91(3)
University of Leeds (GB), University of Szeged (HU), National Center for Epidemiology (HU)
Istituto Nazionale di Alta Matematica "Francesco Severi", UK Research and Innovation, Università degli Studi di Udine, Gruppo Nazionale per il Calcolo Scientifico, Engineering and Physical Sciences Research Council, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, Division of Mathematical Sciences
Zero hunger
Openalex Percentile: Top 6%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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