论文标题

COVID-19区块链框架:创新方法

COVID-19 Blockchain Framework: Innovative Approach

论文作者

Torky, Mohamed, Hassanien, Aboul Ella

论文摘要

目前,世界正在见证(Covid-19)冠状病毒的病原体SARS-COV-2流行病的危险转变。世界卫生组织(WHO)报告的感染和死亡人数对这种流行病的预测对人民和国家经济的生活越来越大。大多数政府目前遭受的最大挑战是缺乏检测未知病例并预测COVID-19病毒感染风险的精确机制。为了缓解这一挑战,这项研究提出了一种新型的创新方法,以减轻(Covid-19)冠状病毒传播和传染的大挑战。这项研究提出了一个基于区块链的框架,该框架研究了使用区块链的同伴到同伴,时间冲压和分散的存储优势的可能性,以构建一个新系统,以验证和检测未知的COVID-19病毒感染病例。此外,拟议的框架将使公民能够通过P2P-Mobile应用的新设计来预测人们在人类企业集团或公共场所内的Covid-19病毒的感染风险。预计拟议的方法是为了生成一个有效的系统,能够支持政府,卫生当局和公民就感染检测,感染预测和避免感染做出重要决定。该框架目前正在开发和实施,作为一个新系统,由四个组件,感染验证者子系统,区块链平台,P2P-Mobile应用程序和质量效能系统组成。这四个成分共同检测未知的感染病例,并预测和估计电晕病毒的感染风险(Covid-19)。

The world is currently witnessing dangerous shifts in the epidemic of emerging SARS-CoV-2, the causative agent of (COVID-19) coronavirus. The infection, and death numbers reported by World Health Organization (WHO) about this epidemic forecasts an increasing threats to the lives of people and the economics of countries. The greatest challenge that most governments are currently suffering from is the lack of a precise mechanism to detect unknown infected cases and predict the infection risk of COVID-19 virus. In response to mitigate this challenge, this study proposes a novel innovative approach for mitigating big challenges of (COVID-19) coronavirus propagation and contagion. This study propose a blockchain-based framework which investigate the possibility of utilizing peer-to peer, time stamping, and decentralized storage advantages of blockchain to build a new system for verifying and detecting the unknown infected cases of COVID-19 virus. Moreover, the proposed framework will enable the citizens to predict the infection risk of COVID-19 virus within conglomerates of people or within public places through a novel design of P2P-Mobile Application. The proposed approach is forecasted to produce an effective system able to support governments, health authorities, and citizens to take critical decision regarding the infection detection, infection prediction, and infection avoidance. The framework is currently being developed and implemented as a new system consists of four components, Infection Verifier Subsystem, Blockchain platform, P2P-Mobile Application, and Mass-Surveillance System. This four components work together for detecting the unknown infected cases and predicting and estimating the infection Risk of Corona Virus (COVID-19).

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