流行病暴发管理的模拟建模技术：综述、分类方案和荟萃分析

IF 1.3 4区工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Simulation Pub Date : 2022-05-01 DOI:10.1080/17477778.2022.2067012

Rashmi Singh, M. Mathirajan

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引用次数: 0

摘要

本文的目的是增强模拟建模技术的知识库，这些技术在文献中被广泛用于应对疫情爆发。在这篇论文中，在2005年至2020年间，共发现并回顾了79篇文章，以了解与疾病传播、稀缺资源管理以及遏制疫情爆发的缓解策略的影响有关的许多问题。目的是认识到模拟建模技术对有效处理这些问题的重要性，并讨论如何以及何时使用特定技术为流行病爆发带来的困难提供令人满意的解决方案。本文介绍了文献综述、分类方案和简单的荟萃分析，以帮助决策者做出明智的决策，遏制疫情爆发。©2022运营研究学会。

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Simulation modelling techniques for managing epidemic outbreak: A review, classification schemes, and meta-analysis

The purpose of this paper is to enhance the knowledge base for simulation modelling techniques that have been used extensively in the literature to tackle the epidemic outbreak. In this paper, 79 articles are identified and reviewed between 2005 and 2020 to understand many problems related to the spread of the disease, scarce resource management, and the influence of mitigation strategies to contain the epidemic outbreak. The objective is to recognise the importance of simulation modelling techniques to effectively handle these problems and discuss how and when a particular technique can be used to provide satisfactory solutions for difficulties posed by an epidemic outbreak. This paper presents a literature review, classification schemes, and a simple meta-analysis to help decision-makers make informed decisions to curtail the epidemic outbreak. © 2022 The Operational Research Society.

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来源期刊

Journal of Simulation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

5.70

自引率

16.00%

发文量

期刊介绍： Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.