Contact Tracing: A Cloud Based Architecture for Safe Covid-19 Mapping

Tabish Mufti, B. Gupta, S. S. Sohail, Deepak Kumar
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引用次数: 1

Abstract

In the recent, Corona Virus epidemic (COVID-19) increases day-to-day from one individual to another because of contact transmission and COVID-19 is created by the SARS-CoV-2. Identifying and stopping the spreading of contagious epidemic such as COVID-19 is important to handling diseases. One major part contracted to find and detect their previous connections so as to then carefully dissociate any persons likely to have been affected and accommodate dispersion is to find out or explore more transmissible persons. These previous connections can be traced using smart machine such as smart watches and smart phones, which can frequently find and collect the connections and location of their infected ones through their embedded transmissions and localization methodologies or technologies, such as Global Positioning System (GPS) location-based navigation rule, Wi-Fi, biological connections, and Bluetooth. Contact Tracing is the one of the best technologies in which we use a methodology for stopping and controlling the COVID19. The main point of this review paper on the methodology of these smart technologies and figure the model of contact tracing accuracy on the flow of the COVID-19, working of contact tracing, algorithms and control of the COVID-19. In this paper, we have determined the role of contact tracing in COVID-19, effective impacts of Contact Tracing and designed a COVID-19 epidemic model that we created to evaluate the number of people quarantined and effectiveness of the steps to be taken, through the smart watches and smart phone contact tracing technique used. In this review paper, our result shows that in order to be accurate for the COVID-19 pandemic, the contact tracing technique must be traced speedily, a valuation ratio of the population must apply the smart devices technique, contact tracing application and this technology must be correct. All these rigid needs make smart device-based contact tracing rather inefficient at accommodating the flow of the virus during the COVID-19. However, in this phase smart machine-based contact tracing could be immensely and enormously effective and recognizing a second section, where a segment of the community will have increased immunity.
接触者追踪:基于云的Covid-19安全映射架构
最近,由于接触传播,冠状病毒(COVID-19)在人与人之间的传播日益增加,而COVID-19是由SARS-CoV-2产生的。识别和阻止COVID-19等传染病的传播对于处理疾病非常重要。寻找和检测他们以前的联系,然后仔细分离任何可能受到影响的人,并适应分散的一个主要部分是寻找或探索更多的可传播的人。这些之前的连接可以通过智能手表、智能手机等智能机器进行追踪,这些智能机器可以通过其内置的传输和定位方法或技术,如全球定位系统(GPS)定位导航规则、Wi-Fi、生物连接、蓝牙等,频繁地发现并收集被感染设备的连接和位置。接触者追踪是我们用于阻止和控制covid - 19的一种方法的最佳技术之一。本文主要综述了这些智能技术的方法,并从COVID-19的流动、接触者追踪的工作、算法和控制方面建立了接触者追踪精度模型。在本文中,我们确定了接触者追踪在COVID-19中的作用,接触者追踪的有效影响,并设计了一个我们创建的COVID-19流行模型,通过使用智能手表和智能手机接触者追踪技术来评估隔离的人数和采取措施的有效性。在本文中,我们的研究结果表明,为了准确应对COVID-19大流行,接触者追踪技术必须快速追踪,人口估值比例必须应用智能设备技术,接触者追踪应用必须正确。所有这些严格的需求使得基于智能设备的接触者追踪在COVID-19期间适应病毒流动方面效率低下。然而,在这一阶段,基于智能机器的接触者追踪可能非常有效,并识别第二部分,其中一部分社区将具有更高的免疫力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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