模拟自然事件扩展的正式方法：传染病案例

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Parallel Processing Letters Pub Date : 2023-11-17 DOI:10.1142/s0129626423400157

Maria Teresa Signes-Pont, Joan Boters-Pitarch, Julian Szymanski, H. Mora-Mora

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引用次数: 0

摘要

本文介绍了一种对自然事件的扩展进行建模的正规方法。由于所使用的数学、统计或计算方法与发展无关，因此我们采用了一个模块化框架，从外部观测一直引导到变量的最内层，这些变量必须出现在未来的数学计算形式化中。例如，我们分析了 Covid-19 的扩展。我们对原因对传播延迟的影响进行了定性估计，并对参数进行了分析。

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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A Formal Approach to Model the Expansion of Natural Events: The Case of Infectious Diseases

A formal approach to modeling the expansion of natural events is presented in this paper. Since the mathematical, statistical or computational methods used are not relevant for development, a modular framework is carried out that guides from the external observation down to the innermost level of the variables that have to appear in the future mathematical-computational formalization. As an example we analyze the expansion of Covid-19. We perform a qualitative estimation of the impact of the causes on the delays of the spread and an analysis of the parameters.

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来源期刊

Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

0.90

自引率

25.00%

发文量

期刊介绍： Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits