COVID-19患者服务系统Petri网模型的稳定性

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/8130
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引用次数: 0

摘要

2019冠状病毒病(COVID-19)是由SARS-CoV-2引起的传染病,于2020年3月11日被世界卫生组织(WHO)确定为大流行。随着病例的增加,需要服务的患者数量超过了现有的工作人员和设施,排队导致患者等待时间延长。分析排队系统的一种方法是使用max-plus代数进行建模。在建立Max-Plus代数模型之前,首先建立了Petri网,它是分析系统的图形和数学建模工具,因此在本研究中,以模型Petri网和Max-Plus代数的形式获得的结果在COVID-19患者的治疗中,其中患者使用的服务流程仅限于转诊患者服务的阳性和疑似病例患者Under Surveillance (PDP) COVID-19。
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The stability of Petri net model for the COVID-19 patient service system
Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 and designated a pandemic by the World Health Organization (WHO) on March 11, 2020. As cases increase, the number of patients requiring services is more than the available staff and facilities, in queues resulting in longer patient waiting times. One way to analyze the queuing system is to model using max-plus algebra. Before forming the Max-Plus Algebra model, Petri Net was built, which is a graphical and mathematical modeling tool for analyzing a system, so in this study, the results obtained in the form of a model Petri Net and max-plus algebra in the treatment of COVID-19 patients, where is the service flow patients used are limited to referral patient services with positive and suspected cases Patients Under Surveillance (PDP) COVID-19.
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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