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基于个体时空活动的城市内传染病传播建模。

Individual space-time activity-based modelling of infectious disease transmission within a city.

作者信息

Yang Yong, Atkinson Peter, Ettema Dick

机构信息

School of Geography, University of Southampton, Southampton SO17 1BJ, UK.

出版信息

J R Soc Interface. 2008 Jul 6;5(24):759-72. doi: 10.1098/rsif.2007.1218.

DOI:10.1098/rsif.2007.1218
PMID:17999949
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2607451/
Abstract

This paper provides an example of the application of an individual space-time activity-based model (ISTAM) to the simulation of the transmission of infectious disease in Eemnes, a city in The Netherlands. Four questions were addressed: (i) how to build the whole population at the city level, (ii) how to build the structure of the activity bundles for the city, (iii) how to assign daily activity patterns to each individual, and (iv) how to simulate within-AB transmission. The model was calibrated and examples of simulation results such as dynamics of the population during a whole day, infection distribution and network analysis are presented.

摘要

本文提供了一个基于个体时空活动的模型(ISTAM)在荷兰城市埃姆斯传染病传播模拟中的应用示例。研究解决了四个问题:(i)如何构建城市层面的全体人口,(ii)如何构建城市活动束的结构,(iii)如何为每个个体分配日常活动模式,以及(iv)如何模拟活动束内的传播。对该模型进行了校准,并给出了模拟结果示例,如一整天内人口动态、感染分布和网络分析。

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