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Web-Oriented Things Systems with 5T Policy to Manage and Contain COVID-19

Authors: M, Rajeshwari; K, Geetha Poornima; , Vinayachandra; K, Krishna Prasad;

Web-Oriented Things Systems with 5T Policy to Manage and Contain COVID-19

Abstract

Digital technology is one of the sectors in the limelight and optimally used for various purposes throughout the outbreak of the COVID-19 pandemic. If the planet succeeds in recovering from the worst catastrophe likely caused by the SARS-COV-2 virus only by the digital technology that is commonly used. Internet-generated data, new technologies, and intelligent devices are used in all aspects of pandemic regulations. 5 T strategy – testing, tracing, treatment, tracking, and technology are commonly used by institutions to control and contain the spread of viruses. The technology is primarily used to handle early detection, touch tracking, treating infected individuals, and monitor and control the spread of the virus. Mobile technology offers a powerful method to support this mission through the use of 'apps' collecting user data. Therefore, an overwhelming number of applications worked showed how successful they can be in identifying and informing individuals who might come into contact with infected persons, concentrating on self-diagnosing the disease, monitoring the symptoms, and reporting cases to health authorities. Web-based platforms pledge increased incentives for a more timely and efficient distribution of information and data analysis related to the pandemic. Online applications developed using AI, ML, IoT, Edge Computing and Cloud Resources are particularly useful for the rapid identification of an outbreak of an infectious disease which is necessary to formulate responses to public health quickly and effectively. Such web-based resources include search requests, website and social media data mining, blog processing, and analysis involving keywords for the disease, text mining, and geographic information system data analysis. These new systems of analytics and information are designed to complement traditional sources of disease knowledge. This chapter addresses various methods of technology used for its control and containment during the COVID-19 outbreak, and what are the prospects in that direction. Also, provides a possible control framework for related pandemics.

Keywords

Internet, Web Applications, Pandemic, Mobile Apps, Web-of-Things, COVID-19, Virus

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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