4.3 Article Proceedings Paper

Influence of non-homogeneous mixing on final epidemic size in a meta-population model

Journal

JOURNAL OF BIOLOGICAL DYNAMICS
Volume 13, Issue -, Pages 31-46

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/17513758.2018.1484186

Keywords

Epidemic meta-population models; non-homogeneous mixing; final epidemic size

Funding

  1. BUCEA Post Graduate Innovation Projects [PG2018094, PG2018097]

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In meta-population models for infectious diseases, the basic reproduction number R-0 can be as much as 70% larger in the case of preferential mixing than that in homogeneous mixing [J.W. Glasser, Z. Feng, S.B. Omer, P.J. Smith, and L.E. Rodewald, The effect of heterogeneity in uptake of the measles, mumps, and rubella vaccine on the potential for outbreaks of measles: A modelling study, Lancet ID 16 (2016), pp. 599-605. doi: 10.1016/S1473-3099(16)00004-9]. This suggests that realistic mixing can be an important factor to consider in order for the models to provide a reliable assessment of intervention strategies. The influence of mixing is more significant when the population is highly heterogeneous. In this paper, another quantity, the final epidemic size (F) of an outbreak, is considered to examine the influence of mixing and population heterogeneity. Final size relation is derived for a meta-population model accounting for a general mixing. The results show that F can be influenced by the pattern of mixing in a significant way. Another interesting finding is that, heterogeneity in various sub-population characteristics may have the opposite effect on R-0 and F.

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