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Article

Breaking beta: deconstructing the parasite transmission function

Details

Citation

McCallum H, Fenton A, Hudson PJ, Lee B, Levick B, Norman R, Perkins S, Viney M, Wilson A & Lello J (2017) Breaking beta: deconstructing the parasite transmission function. Philosophical Transactions B: Biological Sciences, 372 (1719), Art. No.: 20160084. https://doi.org/10.1098/rstb.2016.0084

Abstract
Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameterβ. Many different biological processes and interactions, acting on both hosts and infectious organisms, are subsumed in this single term. There are, however, at least two undesirable consequences of this high level of abstraction. First, nonlinearities and heterogeneities that can be critical to the dynamic behaviour of infections are poorly represented; second, estimating the transmission coefficientβfrom field data is often very difficult. In this paper, we present a conceptual model, which breaks the transmission process into its component parts. This deconstruction enables us to identify circumstances that generate nonlinearities in transmission, with potential implications for emergent transmission behaviour at individual and population scales. Such behaviour cannot be explained by the traditional linear transmission frameworks. The deconstruction also provides a clearer link to the empirical estimation of key components of transmission and enables the construction of flexible models that produce a unified understanding of the spread of both micro- and macro-parasite infectious disease agents.

Keywords
computational biology; ecology; evolution; health and disease and epidemiology; theoretical biology

Journal
Philosophical Transactions B: Biological Sciences: Volume 372, Issue 1719

StatusPublished
Publication date05/05/2017
Publication date online05/03/2017
Date accepted by journal22/12/2016
URL
PublisherThe Royal Society
ISSN0962-8436
eISSN1471-2970

People (1)

Professor Rachel Norman

Professor Rachel Norman

Chair in Food Security & Sustainability, Mathematics

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Research centres/groups