Journal Title

Letters in Biomathematics

Publication Date

2016

Abstract

We will first provide a brief introduction to models of disease transmission on so-called contact networks, which can be represented by various structures from the mathematical field of graph theory. These models allow for exploration of stochastic effects and incorporation of more biological detail than the classical compartment-based ordinary differential equation models, which usually assume both homogeneity in the population and uniform mixing. In particular, we use an agent-based modelling platform to compare theoretical predictions from mathematical epidemiology to results obtained from simulations of disease transmission on a regular tree graph. We also demonstrate how this graph reveals connections between network structure and the spread of infectious diseases. Specifically, we discuss results for how certain properties of the tree graph, such as network diameter and density, alter the duration of an outbreak.

Author Supplied Keywords

Infectious diseases, Contact networks, Agent-based modelling, Regular tree graphs, Stochastic simluations

Subjects

Biomathematics; Epidemics;

Publication Information

Letters in Biomathematics, 2016, Volume 3, Issue 1, 59-74.

© 2016 The Authors.

Archived version is the final published version.

DOI

10.1080/23737867.2016.1185979

Peer-Reviewed

Yes

Document Type

Journal Article

Included in

Mathematics Commons

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