Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II
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计算科学 - ICCS 2022 - 第 22 届国际会议，英国伦敦，2022 年 6 月 21-23 日，会议记录，第二部分
DOI：
10.1007/978-3-031-08754-7_35
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Wise S
中科院分区：
文献类型：
--
作者：
Wise S
基于主体的模型经常使用缩放技术，使模拟的人口样本更容易处理。然而，这种缩放对模型预测的影响程度还有待探讨;特别是，还没有对这种影响的空间影响进行研究。这项工作模拟了新型冠状病毒在津巴布韦各地区的传播，并评估了结果相对于其所依据的样本的差异程度。它确定，特别是，不同的地理动态的疾病传播与不同的人口规模，与其他人寻求使用规模的人口在他们的研究的影响。
Agent-based models frequently make use of scaling techniques to render the simulated samples of population more tractable. The degree to which this scaling has implications for model forecasts, however, has yet to be explored; in particular, no research on the spatial implications of this has been done. This work presents a simulation of the spread of Covid-19 among districts in Zimbabwe and assesses the extent to which results vary relative to the samples upon which they are based. It is determined that in particular, different geographical dynamics of the spread of disease are associated with varying population sizes, with implications for others seeking to use scaled populations in their research.