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
{"title":"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","authors":"Rashmi Singh, M. Mathirajan","doi":"10.1080/17477778.2022.2067012","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation modelling techniques for managing epidemic outbreak: A review, classification schemes, and meta-analysis\",\"authors\":\"Rashmi Singh, M. Mathirajan\",\"doi\":\"10.1080/17477778.2022.2067012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":51296,\"journal\":{\"name\":\"Journal of Simulation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Simulation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/17477778.2022.2067012\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/17477778.2022.2067012","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Simulation
Journal of Simulation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
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.
期刊最新文献
Live fitting of process data within digital twins of manufacturing to use simulation and optimisation Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support Hybrid simulation in healthcare: a systematic exploration of models, applications, and emerging trends Increasing the performance of a hospital department with budget allocation model and machine learning assisted by simulation Towards sharing tools and artefacts for reusable simulations in healthcare
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1