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Periodic solutions in an SIRWS model with immune boosting and cross-immunity

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posted on 2024-07-26, 14:17 authored by Tiffany Leung, Barry D. Hughes, Federico FrascoliFederico Frascoli, James M. McCaw
Incidence of whooping cough, an infection caused by Bordetella pertussis and Bordetella parapertussis, has been on the rise since the 1980s in many countries. Immunological interactions, such as immune boosting and cross-immunity between pathogens, have been hypothesised to be important drivers of epidemiological dynamics. We present a two-pathogen model of transmission which examines how immune boosting and cross-immunity can influence the timing and severity of epidemics. We use a combination of numerical simulations and bifurcation techniques to study the dynamical properties of the system, particularly the conditions under which stable periodic solutions are present. We derive analytic expressions for the steady state of the single-pathogen model, and give a condition for the presence of periodic solutions. A key result from our two-pathogen model is that, while studies have shown that immune boosting at relatively strong levels can independently generate periodic solutions, cross-immunity allows for the presence of periodic solutions even when the level of immune boosting is weak. Asymmetric cross-immunity can produce striking increases in the incidence and period. Our study underscores the importance of developing a better understanding of the immunological interactions between pathogens in order to improve model-based interpretations of epidemiological data.

Funding

Centre of Research Excellence in Infectious Diseases Modelling to Inform Public Health Policy

National Health and Medical Research Council

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Multi-level analysis of human resource management systems on hospital outcomes

Australian Research Council

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History

Available versions

PDF (Accepted manuscript)

ISSN

1095-8541

Journal title

Journal of Theoretical Biology

Volume

410

Pagination

9 pp

Publisher

Academic Press

Copyright statement

Copyright © 2016 The Authors. Published by Elsevier. This is the post-print, author's Accepted version and is CC licensed as follows: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/.

Language

eng

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