Host heterogeneity and disease endemicity: A moment-based approach
Host heterogeneity and disease endemicity: A moment-based approach
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DOI：
10.1006/tpbi.1999.1428
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发表时间：
1999-12-01
影响因子：
1.4
通讯作者：
Dushoff, J
中科院分区：
文献类型：
--
作者：
Dushoff, J
本文探讨了解宿主异质性对疾病水平的影响，通过使用矩近似的可能性。该方法是为了避免假设的混合率（或其他参数）在人口中的分布，通过处理的低阶矩的分布作为可估计的参数。这种方法虽然近似，但可以大大减少探索群体异质性对疾病动力学影响所需的参数数量。这使得该方法对于推断和预测都是有用的，并且还用于深入了解异质性对疾病传播的定性影响。本文主要研究混合率变化和随机混合的种群。结果表明，基于矩的近似可以提供良好的定量估计的疾病动力学，以及帮助定性的理解，在一个相当大的参数范围内，希望这种方法将提供一个有用的补充，更传统的盒模型的异质性。(C)北京：科学出版社.
This paper investigates the possibility of understanding the effects of host heterogeneity on disease levels through the use of moment approximations. The approach is to avoid assumptions about the distribution of mixing rates (or other parameters) in the population, by treating the low-order moments of the distribution as estimable parameters. This approach, while approximate, can greatly reduce the number of parameters needed to explore the effects of population heterogeneity on disease dynamics. This makes the approach useful for both inference and prediction, and also for gaining insight into the qualitative effects of heterogeneity on the spread of disease. This paper focuses on populations with variations in mixing rate and random mixing. It is shown that moment-based approximations can provide good quantitative estimates of disease dynamics, as well as aiding in qualitative understanding, over a respectable range of parameters, It is hoped that this approach will provide a useful complement to more traditional box models of heterogeneity. (C) 1999 Academic Press.