Department of Applied Mathematics, University of Colorado Boulder, Engineering Center, ECOT 225, 526 UCB Boulder, CO, 80309-0526, Boulder, USA.
Louisiana State University, Baton Rouge, LA, USA.
J Math Biol. 2020 Jun;80(7):2055-2074. doi: 10.1007/s00285-020-01489-8. Epub 2020 Apr 20.
The commonly observed negative correlation between the number of species in an ecological community and disease risk, typically referred to as "the dilution effect", has received a substantial amount of attention over the past decade. Attempts to test this relationship experimentally have revealed that, in addition to the mean disease risk decreasing with species number, so too does the variance of disease risk. This is referred to as the "variance reduction effect", and has received relatively little attention in the disease-diversity literature. Here, we set out to clarify and quantify some of these relationships in an idealized model of a randomly assembled multi-species community undergoing an epidemic. We specifically investigate the variance of the community disease reproductive ratio, a multi-species extension of the basic reproductive ratio [Formula: see text], for a family of random-parameter community SIR models, and show how the variance of community [Formula: see text] varies depending on whether transmission is density or frequency-dependent. We finally outline areas of further research on how changes in variance affect transmission dynamics in other systems.
在过去的十年中,人们普遍观察到生态群落中物种数量与疾病风险之间呈负相关关系,通常称为“稀释效应”。人们尝试通过实验来检验这种关系,结果表明,除了疾病风险的平均值随着物种数量的增加而降低之外,疾病风险的方差也随之降低。这被称为“方差降低效应”,在疾病多样性文献中受到的关注相对较少。在这里,我们旨在澄清和量化在一个随机组装的多物种群落中进行流行病的理想化模型中的一些关系。我们特别研究了社区疾病繁殖率的方差,这是基本繁殖率 [Formula: see text] 的多物种扩展,用于一系列随机参数社区 SIR 模型,并展示了社区 [Formula: see text] 的方差如何取决于传播是密度依赖还是频率依赖。最后,我们概述了进一步研究方差变化如何影响其他系统传播动态的领域。