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An epidemic model for an evolving pathogen with strain-dependent immunity
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Griffin, Adam, Roberts, Gareth O. and Spencer, Simon E. F. (2020) An epidemic model for an evolving pathogen with strain-dependent immunity. Mathematical Biosciences, 330 . 108480. doi:10.1016/j.mbs.2020.108480 ISSN 0025-5564.
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Official URL: https://doi.org/10.1016/j.mbs.2020.108480
Abstract
Between pandemics, the influenza virus exhibits periods of incremental evolution via a process known as antigenic drift. This process gives rise to a sequence of strains of the pathogen that are continuously replaced by newer strains, preventing a build up of immunity in the host population. In this paper, a parsimonious epidemic model is defined that attempts to capture the dynamics of evolving strains within a host population. The ‘evolving strains’ epidemic model has many properties that lie in-between the Susceptible–Infected–Susceptible and the Susceptible–Infected–Removed epidemic models, due to the fact that individuals can only be infected by each strain once, but remain susceptible to reinfection by newly emerged strains. Coupling results are used to identify key properties, such as the time to extinction. A range of reproduction numbers are explored to characterise the model, including a novel quasi-stationary reproduction number that can be used to describe the re-emergence of the pathogen into a population with ‘average’ levels of strain immunity, analogous to the beginning of the winter peak in influenza. Finally the quasi-stationary distribution of the evolving strains model is explored via simulation.
Item Type: | Journal Article | ||||||||||||
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Subjects: | R Medicine > RA Public aspects of medicine | ||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||||||
Library of Congress Subject Headings (LCSH): | Epidemiology, Epidemiology -- Mathematical models, Epidemiology -- Statistical methods, Case-control method | ||||||||||||
Journal or Publication Title: | Mathematical Biosciences | ||||||||||||
Publisher: | Elsevier Science Inc. | ||||||||||||
ISSN: | 0025-5564 | ||||||||||||
Official Date: | December 2020 | ||||||||||||
Dates: |
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Volume: | 330 | ||||||||||||
Article Number: | 108480 | ||||||||||||
DOI: | 10.1016/j.mbs.2020.108480 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 29 September 2020 | ||||||||||||
Date of first compliant Open Access: | 26 November 2020 | ||||||||||||
RIOXX Funder/Project Grant: |
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