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Correlation equations for endemic diseases: externally imposed and internally generated heterogeneity

机译:地方病的相关方程:外部强加和内部产生的异质性

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摘要

The simple susceptible-infectious-recovered (SIR) model has provided many insights into the behaviour of a single epidemic. However, most of epidemiology is concerned with endemic infections, and for this to occur fresh susceptibles need to be generated. This is usually provided by individuals becoming susceptible soon after birth or by recruitment to cohorts at risk. This paper develops a correlation model, predicting the behaviour of connected pairs of individuals, which includes demographic processes as well as the basic epidemiology. In addition to the local spatial correlations, we consider three other forms of heterogeneity: internally generated heterogeneity in terms of stochasticity or imposed heterogeneity in terms of non-uniform vaccination or age-structure.
机译:简单的易感感染恢复(SIR)模型为单个流行病的行为提供了许多见解。但是,大多数流行病学都与地方感染有关,为此,需要产生新鲜的易感人群。这通常是由出生后不久就变得容易受到感染的个人或通过招募高危人群来提供的。本文开发了一种相关模型,预测了关联的个体对的行为,其中包括人口统计过程以及基本的流行病学。除了局部空间相关性外,我们还考虑了三种其他形式的异质性:就随机性而言是内部产生的异质性,对于不均匀的疫苗接种或年龄结构而言,是强加的异质性。

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