病原体通过环境-宿主接触转移:一个基于智能体的排队理论框架。

IF 0.8 4区 数学 Q4 BIOLOGY Mathematical Medicine and Biology-A Journal of the Ima Pub Date : 2018-09-11 DOI:10.1093/imammb/dqx014
Shi Chen, Suzanne Lenhart, Judy D Day, Chihoon Lee, Michael Dulin, Cristina Lanzas
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引用次数: 5

摘要

排队理论研究了等待队列的性质,并已应用于研究宿主间直接传播疾病的动力学,但其在模拟环境传播病原体方面的潜力尚未得到充分探索。在本研究中,我们提供了一个灵活且可定制的排队理论建模框架,包含三个主要子程序来研究环境与主机之间的医院内接触过程以及潜在的医院病原体转移,其中环境是服务器,主机是客户。研究了两种参数不同但利用率相同的服务器。我们考虑了各种形式的传递函数,将接触持续时间映射到基于现有文献的病原体转移量。本文以模拟医院接触过程为例,应用随机队列分析了不同传递函数下的病原体转移量,并假设病原体数量在到达间时间内减少。不同的宿主行为(反馈和非反馈)以及初始病原体分布(无论是在环境和/或宿主中)也被考虑和模拟。我们评估了这些不同条件下病原体的转移和循环,并强调了接触过程中传递函数和病原体人口学之间非线性相互作用的重要性。我们的建模框架可以很容易地扩展到更复杂的排队网络,通过调整参数(如服务器和客户的数量和类型)以及添加额外的子例程来模拟更现实的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Pathogen transfer through environment-host contact: an agent-based queueing theoretic framework.

Queueing theory studies the properties of waiting queues and has been applied to investigate direct host-to-host transmitted disease dynamics, but its potential in modelling environmentally transmitted pathogens has not been fully explored. In this study, we provide a flexible and customizable queueing theory modelling framework with three major subroutines to study the in-hospital contact processes between environments and hosts and potential nosocomial pathogen transfer, where environments are servers and hosts are customers. Two types of servers with different parameters but the same utilization are investigated. We consider various forms of transfer functions that map contact duration to the amount of pathogen transfer based on existing literature. We propose a case study of simulated in-hospital contact processes and apply stochastic queues to analyse the amount of pathogen transfer under different transfer functions, and assume that pathogen amount decreases during the inter-arrival time. Different host behaviour (feedback and non-feedback) as well as initial pathogen distribution (whether in environment and/or in hosts) are also considered and simulated. We assess pathogen transfer and circulation under these various conditions and highlight the importance of the nonlinear interactions among contact processes, transfer functions and pathogen demography during the contact process. Our modelling framework can be readily extended to more complicated queueing networks to simulate more realistic situations by adjusting parameters such as the number and type of servers and customers, and adding extra subroutines.

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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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