Breaking beta: deconstructing the parasite transmission function

被引:84
作者
McCallum, Hamish [1 ]
Fenton, Andy [2 ]
Hudson, Peter J. [3 ]
Lee, Brian [4 ]
Levick, Beth [2 ]
Norman, Rachel [4 ]
Perkins, Sarah E. [5 ,6 ]
Viney, Mark [7 ]
Wilson, Anthony J. [8 ]
Lello, Joanne [5 ,6 ]
机构
[1] Griffith Univ, Environm Futures Res Inst, Nathan, Qld 4111, Australia
[2] Univ Liverpool, Inst Integrat Biol, Liverpool L69 7ZB, Merseyside, England
[3] Penn State Univ, Ctr Infect Dis Dynam, University Pk, PA 16802 USA
[4] Univ Stirling, Sch Nat Sci, Stirling FK9 4LA, Scotland
[5] Cardiff Univ, Sch Biosci, Museum Ave, Cardiff CF10 3AX, S Glam, Wales
[6] Fdn Edmund Mach, Res & Innovat Ctr, Dept Biodivers & Mol Ecol, Via E Mach 1, I-38010 San Michele All Adige, Trentino, Italy
[7] Univ Bristol, Sch Biol Sci, Tyndall Ave, Bristol BS8 1TQ, Avon, England
[8] Pirbright Inst, Vector Borne Viral Dis Programme, Ash Rd, Woking GU24 0NF, Surrey, England
基金
英国自然环境研究理事会; 英国生物技术与生命科学研究理事会;
关键词
infection; infectious disease; modelling; nonlinearities; heterogeneity; transmission function; ESCHERICHIA-COLI O157; NONLINEAR TRANSMISSION; COVERT INFECTIONS; SHEDDING PATTERNS; IMMUNE-RESPONSES; HOST DYNAMICS; WITHIN-HOST; POPULATION; DENSITY; BEHAVIOR;
D O I
10.1098/rstb.2016.0084
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 parameter b. 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 coefficient b from 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. This article is part of the themed issue 'Opening the black box: re-examining the ecology and evolution of parasite transmission'.
引用
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页数:11
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