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Toward analyzing the impact of healthcare treatments in industry 4.0 environment-a self-care case study during COVID-19 outbreak
Data Science for COVID-19: Volume 2: Societal and Medical Perspectives ; : 243-256, 2021.
Article in English | Scopus | ID: covidwho-1872854
ABSTRACT
Coronavirus infection is proceeding with its spread over the world, with more than 2.7 million affirmed instances of coronavirus now in 185 nations. In any event, 190, 000 individuals have kicked the bucket. The United States has multiple occasions of the same number of affirmed cases as some other nation. The infection, which causes the respiratory disease coronavirus disease 2019 (COVID-19), was first identified in the city of Wuhan, China, in late 2019. It is spreading quickly in numerous nations and the number of passings is as yet climbing. The world is pretty upside down the present moment, as a result of the worldwide frenzy around coronavirus infection (COVID-19). In case you are feeling overpowered or worried about everything, then be consoled this is an extremely ordinary reaction. Notwithstanding, it is critical to back off of yourself and to set aside effort for self-care. We have assembled this rundown list (self-care dataset) of self-care exercises that you can do from home;this is the message the corresponding author got in morning wishes during his stay in China. In the fight against the pandemic, nations effectively utilized computerized innovations, for example, artificial intelligence, big data, cloud computing, blockchain, and 5G, which have adequately improved the proficiency of nations’ endeavors in scourge checking, infection following, counteraction, control and treatment, and asset assignment. The chapter discusses a couple of the ways in which data innovations were successfully utilized toward impact of healthcare treatments in Internet of Things (IoT) environment for analyzing a self-care contextual investigation during the coronavirus outbreak. © 2022 Elsevier Inc.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report / Experimental Studies Language: English Journal: Data Science for COVID-19: Volume 2: Societal and Medical Perspectives Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report / Experimental Studies Language: English Journal: Data Science for COVID-19: Volume 2: Societal and Medical Perspectives Year: 2021 Document Type: Article