Alrashed Saleh, Min-Allah Nasro, Ali Ijaz, Mehmood Rashid
Management Information Systems Department, College of Applied Studies and Community Service, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, Saudi Arabia.
Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, Saudi Arabia.
Multimed Tools Appl. 2022;81(19):26857-26871. doi: 10.1007/s11042-021-11664-8. Epub 2022 Jan 3.
COVID-19 has transformed the life of human beings and digital twin infrastructure can facilitates working remotely during COVID-19 outbreak by reducing burden on services and infrastructure. Currently, many organizations are installing and developing devices such as thermal cameras, sensors aiming to minimize human contact and so forth, in addition to enforcing social distancing resulting in reducing the risk of transmission. Due to economic reasons, lockdown restrictions are being relaxed/lifted in many countries and Pakistan which is one of the most densely populated countries in the world with a population of 220 + million is no exception. Though, Pakistan contained the first two waves of coronavirus infections reasonably well but the country is struggling to contain the third wave of the spread due to violations of social distancing norms. While our predictions may deviate from official statistics due to lack of mass testing and existence of asymptomatic infections, the described approach predicts the possible actual burden of infection over times. In view of the unique demographics, our data quantify the efficacy of social distancing as an effective measure to forestall the infection. We highlight few areas where digital twins can be created/deployed to provide services and essential facilities to citizens as COVID-19 is expected to have permanent impact on the way we work.
新冠疫情改变了人类生活,数字孪生基础设施可在新冠疫情爆发期间,通过减轻服务和基础设施负担,便利远程工作。目前,许多组织正在安装和开发诸如热成像摄像机、传感器等设备,旨在尽量减少人与人之间的接触,此外还在实施社交距离措施,以降低传播风险。出于经济原因,许多国家和巴基斯坦正在放宽/解除封锁限制,巴基斯坦是世界上人口最密集的国家之一,有2.2亿多人口,也不例外。尽管巴基斯坦在前两波新冠病毒感染中控制得还算不错,但由于社交距离规范遭到违反,该国正在努力控制第三波疫情传播。虽然由于缺乏大规模检测和无症状感染的存在,我们的预测可能与官方统计数据有所偏差,但所描述的方法可以预测不同时期可能实际出现的感染负担。鉴于独特的人口结构,我们的数据量化了社交距离作为预防感染的有效措施的效果。我们强调了几个可以创建/部署数字孪生的领域,以便在新冠疫情预计会对我们的工作方式产生永久性影响的情况下,为公民提供服务和基本设施。