Modelling the effect of heterogeneous vaccination on metapopulation epidemic dynamics

Yongwang Gong; Michael Small

doi:10.1016/j.physleta.2019.125996

Modelling the effect of heterogeneous vaccination on metapopulation epidemic dynamics

Yongwang Gong
, Michael Small

Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

9 Citations (Web of Science)

Abstract

Vaccination as an epidemic control strategy has a significant effect on epidemic spreading. In this paper, we propose a novel epidemic spreading model on metapopulation networks to study the impact of heterogeneous vaccination on epidemic dynamics, where nodes represent geographical areas and links connecting nodes correspond to human mobility between areas. Using a mean-field approach, we derive the theoretical spreading threshold revealing a non-trivial dependence on the heterogeneity of vaccination. Extensive Monte Carlo simulations validate the theoretical threshold and also show the complex temporal epidemic behaviours above the threshold. (C) 2019 Elsevier B.V. All rights reserved.

Original language	English
Article number	125996
Number of pages	8
Journal	Physics Letters A
Volume	383
Issue number	35
DOIs	https://doi.org/10.1016/j.physleta.2019.125996
Publication status	Published - 16 Dec 2019

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SDG 3 Good Health and Well-being

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10.1016/j.physleta.2019.125996

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abstract = "Vaccination as an epidemic control strategy has a significant effect on epidemic spreading. In this paper, we propose a novel epidemic spreading model on metapopulation networks to study the impact of heterogeneous vaccination on epidemic dynamics, where nodes represent geographical areas and links connecting nodes correspond to human mobility between areas. Using a mean-field approach, we derive the theoretical spreading threshold revealing a non-trivial dependence on the heterogeneity of vaccination. Extensive Monte Carlo simulations validate the theoretical threshold and also show the complex temporal epidemic behaviours above the threshold. (C) 2019 Elsevier B.V. All rights reserved.",

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AB - Vaccination as an epidemic control strategy has a significant effect on epidemic spreading. In this paper, we propose a novel epidemic spreading model on metapopulation networks to study the impact of heterogeneous vaccination on epidemic dynamics, where nodes represent geographical areas and links connecting nodes correspond to human mobility between areas. Using a mean-field approach, we derive the theoretical spreading threshold revealing a non-trivial dependence on the heterogeneity of vaccination. Extensive Monte Carlo simulations validate the theoretical threshold and also show the complex temporal epidemic behaviours above the threshold. (C) 2019 Elsevier B.V. All rights reserved.

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KW - Mean-field approach

KW - Monte Carlo simulation

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KW - NETWORKS

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ER -

Modelling the effect of heterogeneous vaccination on metapopulation epidemic dynamics

Abstract

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