Covid-19 大流行期间生物范式的优势和局限性:排队理论的应用

Aqsa Ahmed, Nasir Jamal, Umair Saeed
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引用次数: 0

摘要

冠状病毒疾病是由SARS-CoV-2细菌引起的流行病。卫生领域被认为是服务部门最重要的领域之一,因为它与人类福祉直接相关,特别是在2019冠状病毒病大流行的背景下。挂号部、门诊部、药房的病人过度拥挤是目前医院面临的最重要的问题。对伊斯兰堡PIMS医院和拉瓦尔品第贝娜齐尔·布托医院的患者登记、门诊部和药房进行调查是本研究的基础。排队论是运筹学的延伸,研究的是排队问题。此外,还使用多服务器排队模型来计算性能参数。本研究使用的排队模拟方法处理多个队列和多个服务器模型。用泊松分布估计到达率,用指数分布计算服务率。大流行期间(欧米克隆持续时间)患者对医院服务的满意度通过问卷调查来衡量。与其他科室相比,两家医院药剂科的利用率都较高。PIMS医院44%的患者对服务系统感到满意,BBH医院40%的患者对服务系统感到满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strength and Limitation of Biological Paradigm during Pandemic of Covid-19: An Application of Queueing Theory
The coronavirus disorder is an epidemic induced by the SARS-CoV-2 germ. The health region is recognized as one of the most important areas in the service sector due to its direct connection to human well-being, particularly in context of the pandemic COVID-19. The overcrowding of patients in the patient registration department, outpatient department, and pharmacy department is the most important issue facing hospitals these days. The investigation of the patient registration, outpatient, and pharmacy departments of PIMS hospital in Islamabad and Benazir Bhutto hospital in Rawalpindi served as the foundation for this study. Queuing Theory is an extension of operation research and is concerned with the aspect of queues. Additionally, the multiple-server queueing model is used to calculate the performance parameters. The approach of queuing simulation used in this research deals with multiple queues and multiple server models. Poisson distribution is used to estimate the arrival rate and exponential distribution is used to calculate the service rate. The satisfaction level of patients with hospital services during the pandemic (Omicron duration) is measured through the questionnaire. As compared to other departments, the utilization factor is higher in the pharmacy department in both hospitals. From PIMS hospital 44% of patients are satisfied with the service system while from BBH 40% of patients are satisfied with the service system.
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