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Secure COVID-19 Treatment with Blockchain and IoT-Based Framework
5th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2021 ; 334:785-800, 2022.
Article in English | Scopus | ID: covidwho-1611372
ABSTRACT
The COVID pandemic has opened the eyes of numerous nations about their medical services framework. The short blast and uncontrolled overall spread of COVID-19 show the constraints of existing medical services frameworks to handle general wellbeing crises conveniently. The disease and demise numbers detailed by World Health Organization (WHO) about this pandemic is an expanding danger to the lives of individuals and the financial matters of nations. The greatest challenge that most governments are experiencing is the absence of a precise mechanism to recognize obscure contaminated cases and anticipate the disease danger of COVID-19 infection. Numerous countries have been utilizing a scope of devices to battle the pandemic, looking for data about development, checking just as the releasing the private data of the occupants. This research paper plans to help tainted individuals with care utilizing the Internet of Things (IoT) and blockchain innovations. From one viewpoint, blockchain can battle pandemics by empowering early discovery of the cases, securing client protection, and guaranteeing a compacted clinical flexibly chain during the pandemic attack. Then again, IoT-based medical services accumulate valuable data, give advanced knowledge through indications and practices, permit far-off checking, and essentially give individuals better self-assurance and medical services. A proposed layer consists of four-layer architecture utilizing IoT and blockchain to identify and predict people to be COVID-19. This idea provides a framework for patients with COVID-19 irresistible infection and perceives medical problems and determinations. The proposed approach is anticipated to deliver a robust framework ready to help governments, healthcare specialists, and residents make basic choices concerning disease recognition, disease forecast, and disease avoidance. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2021 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2021 Year: 2022 Document Type: Article