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麻疹流行动态中的密度依赖模式。

Patterns of density dependence in measles dynamics.

作者信息

Finkenstädt B, Keeling M, Grenfell B

机构信息

Department of Zoology, University of Cambridge, UK.

出版信息

Proc Biol Sci. 1998 May 7;265(1398):753-62. doi: 10.1098/rspb.1998.0357.

Abstract

An important question in metapopulation dynamics is the influence of external perturbations on the population's long-term dynamic behaviour. In this paper we address the question of how spatiotemporal variations in demographic parameters affect the dynamics of measles populations in England and Wales. Specifically, we use nonparametric statistical methods to analyse how birth rate and population size modulate the negative density dependence between successive epidemics as well as their periodicity. For the observed spatiotemporal data from 60 cities, and for simulated model data, the demographic variables act as bifurcation parameters on the joint density of the trade-off between successive epidemics. For increasing population size, a transition occurs from an irregular unpredictable pattern in small communities towards a regular, predictable endemic pattern in large places. Variations in the birth rate parameter lead to a bifurcation from annual towards biennial cyclicity in both observed data and model data.

摘要

集合种群动态中的一个重要问题是外部扰动对种群长期动态行为的影响。在本文中,我们探讨人口统计学参数的时空变化如何影响英格兰和威尔士麻疹种群的动态。具体而言,我们使用非参数统计方法来分析出生率和种群规模如何调节连续疫情之间的负密度依赖性及其周期性。对于来自60个城市的观测时空数据以及模拟模型数据,人口统计学变量在连续疫情之间权衡的联合密度上充当分岔参数。随着种群规模的增加,会出现从小社区中不规则、不可预测的模式向大地方中规则、可预测的地方病模式的转变。出生率参数的变化在观测数据和模型数据中均导致从年度周期性向两年期周期性的分岔。

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本文引用的文献

1
Empirical determinants of measles metapopulation dynamics in England and Wales.
Proc Biol Sci. 1998 Feb 7;265(1392):211-20. doi: 10.1098/rspb.1998.0284.
2
On the critical behaviour of simple epidemics.
Proc Biol Sci. 1997 Nov 22;264(1388):1639-46. doi: 10.1098/rspb.1997.0228.
3
Chaotic Dynamics in an Insect Population.
Science. 1997 Jan 17;275(5298):389-91. doi: 10.1126/science.275.5298.389.
5
Disease extinction and community size: modeling the persistence of measles.
Science. 1997 Jan 3;275(5296):65-7. doi: 10.1126/science.275.5296.65.
7
A gradient from stable to cyclic populations of Clethrionomys rufocanus in Hokkaido, Japan.
Proc Biol Sci. 1996 Sep 22;263(1374):1117-26. doi: 10.1098/rspb.1996.0164.
8
Space, persistence and dynamics of measles epidemics.
Philos Trans R Soc Lond B Biol Sci. 1995 May 30;348(1325):309-20. doi: 10.1098/rstb.1995.0070.
9
A geographic gradient in small rodent density fluctuations: a statistical modelling approach.
Proc Biol Sci. 1995 Nov 22;262(1364):127-33. doi: 10.1098/rspb.1995.0186.
10
An age-structured model of pre- and post-vaccination measles transmission.
IMA J Math Appl Med Biol. 1984;1(2):169-91. doi: 10.1093/imammb/1.2.169.

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