Suppr超能文献

蛔虫感染的动态变化

The Dynamics of Ascaris lumbricoides Infections.

作者信息

Fowler A C, Hollingsworth T Déirdre

机构信息

MACSI, University of Limerick, Limerick, Ireland.

OCIAM, University of Oxford, Oxford, UK.

出版信息

Bull Math Biol. 2016 Apr;78(4):815-833. doi: 10.1007/s11538-016-0164-2. Epub 2016 Apr 11.

Abstract

The Anderson-May model of human parasite infections and specifically that for the intestinal worm Ascaris lumbricoides is reconsidered, with a view to deriving the observed characteristic negative binomial distribution which is frequently found in human communities. The means to obtaining this result lies in reformulating the continuous Anderson-May model as a stochastic process involving two essential populations, the density of mature worms in the gut, and the density of mature eggs in the environment. The resulting partial differential equation for the generating function of the joint probability distribution of eggs and worms can be partially solved in the appropriate limit where the worm lifetime is much greater than that of the mature eggs in the environment. Allowing for a mean field nonlinearity, and for egg immigration from neighbouring communities, a negative binomial worm distribution can be predicted, whose parameters are determined by those in the continuous Anderson-May model; this result assumes no variability in predisposition to the infection.

摘要

重新审视了人类寄生虫感染的安德森 - 梅模型,特别是针对肠道蠕虫蛔虫的模型,目的是推导出在人类群体中经常观察到的特征性负二项分布。获得这一结果的方法是将连续的安德森 - 梅模型重新表述为一个涉及两个基本种群的随机过程,即肠道中成熟蠕虫的密度和环境中成熟虫卵的密度。在蠕虫寿命远大于环境中成熟虫卵寿命的适当极限情况下,可以部分求解虫卵和蠕虫联合概率分布生成函数的所得偏微分方程。考虑到平均场非线性以及来自邻近社区的虫卵迁入,可以预测出负二项蠕虫分布,其参数由连续安德森 - 梅模型中的参数确定;该结果假设感染易感性无变异性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验