Interpreting time-series analyses for continuous-time biological models-measles as a case study

被引:46
|
作者
Glass, K [1 ]
Xia, Y [1 ]
Grenfell, BT [1 ]
机构
[1] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England
关键词
epidemiological models; measles; time-series analysis; population dynamics;
D O I
10.1016/S0022-5193(03)00031-6
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
An increasing number of recent studies involve the fitting of mechanistic models to ecological time-series. In some cases, it is necessary for these models to be discrete-time approximations of continuous-time processes. We test the validity of discretization in the case of measles, where time-series models have recently been developed to estimate ecological parameters directly from data. We find that a non-homogeneous contact function is necessary to capture the host-parasite interaction in a discrete-time model, even in the absence of heterogeneities due to spatial or age structure. We derive a mathematical relationship describing the expected departure from mass-action transmission in terms of the epidemiological parameters in the model, and identify conditions under which the discretization process may fail. (C) 2003 Elsevier Science Ltd. All rights reserved.
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页码:19 / 25
页数:7
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