Reproduction numbers for epidemic models with households and other social structures II: comparisons and implications for vaccination

Ball, Frank, Pellis, Lorenzo and Trapman, Pieter (2016) Reproduction numbers for epidemic models with households and other social structures II: comparisons and implications for vaccination. Mathematical Biosciences, 274 . pp. 108-139. ISSN 0025-5564

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Abstract

In this paper we consider epidemic models of directly transmissible SIR (susceptible - infective - recovered) and SEIR (with an additional latent class) infections in fully-susceptible populations with a social structure, consisting either of households or of households and workplaces. We review most reproduction numbers defined in the literature for these models, including the basic reproduction number R0 introduced in the companion paper of this, for which we provide a simpler, more elegant derivation. Extending previous work, we provide a complete overview of the inequalities among these reproduction numbers and resolve some open questions. Special focus is put on the exponential-growth-associated reproduction number Rr, which is loosely defined as the estimate of R0 based on the observed exponential growth of an emerging epidemic obtained when the social structure is ignored. We show that for the vast majority of the models considered in the literature Rr >= R0 when R0 >=1 and Rr <= R0 when R0 <= 1. We show that, in contrast to models without social structure, vaccination of a fraction 1-1/R0 of the population, chosen uniformly at random, with a perfect vaccine is usually insufficient to prevent large epidemics. In addition, we provide significantly sharper bounds than the existing ones for bracketing the critical vaccination coverage between two analytically tractable quantities, which we illustrate by means of extensive numerical examples.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/977230
Keywords: SIR epidemic; Household; Social structure; Basic reproduction number; Vaccination; Exponential growth rate
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number: https://doi.org/10.1016/j.mbs.2016.01.006
Depositing User: Ball, Prof Frank Granville
Date Deposited: 22 Jun 2016 09:47
Last Modified: 15 Aug 2024 15:32
URI: https://eprints.nottingham.ac.uk/id/eprint/34200

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