Epidemiological impact of waning immunization on a vaccinated population

Ewa Grela, Michael Stich () and Amit K Chattopadhyay
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Ewa Grela: Mathematics, Systems Analytics Research Institute, School of Engineering and Applied Science, Aston University
Michael Stich: Mathematics, Systems Analytics Research Institute, School of Engineering and Applied Science, Aston University
Amit K Chattopadhyay: Mathematics, Systems Analytics Research Institute, School of Engineering and Applied Science, Aston University

The European Physical Journal B: Condensed Matter and Complex Systems, 2018, vol. 91, issue 11, 1-11

Abstract: Abstract This is an epidemiological SIRV model based study that is designed to analyze the impact of vaccination in containing infection spread, in a 4-tiered population compartment comprised of susceptible, infected, recovered and vaccinated agents. While many models assume a lifelong protection through vaccination, we focus on the impact of waning immunization due to conversion of vaccinated and recovered agents back to susceptible ones. Two asymptotic states exist, the “disease-free equilibrium” and the “endemic equilibrium” and we express the transitions between these states as function of the vaccination and conversion rates and using the basic reproduction number. We find that the vaccination of newborns and adults have different consequences on controlling an epidemic. Also, a decaying disease protection within the recovered sub-population is not sufficient to trigger an epidemic at the linear level. We perform simulations for a parameter set mimicking a disease with waning immunization like pertussis. For a diffusively coupled population, a transition to the endemic state can proceed via the propagation of a traveling infection wave, described successfully within a Fisher-Kolmogorov framework.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1140/epjb/e2018-90136-3

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