Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Edge intelligence to smart management and control of epidemic Subject The topic of the resource Artificial intelligence; Computational intelligence; Edge computing; Edge COVID-19; Edge intelligence; Internet of things; Smart healthcare Description An account of the resource The effects of COVID-19 vary from person to person. A pandemic is devastating economically and socially. Thousands of enterprises face the possibility of collapse. More than half of the world's 3.3 billion workers may lose their livelihoods if the current crisis continues. The world's healthcare services are facing an unprecedented situation due to the recent outbreak of a novel coronavirus (COVID-19). Community and government health are adversely affected by the COVID-19 pandemic. COVID-19 has continued to spread, and mortalities have risen steadily. The spread of this disease can therefore be controlled utilizing nonpharmacological methods, such as quarantine, isolation, and public health education. Recent breakthroughs in deep learning (DL) have led to an explosion in applications and services relating to artificial intelligence (AI). The rapid advancements in mobile computing and AI have enabled zillions of Bytes of data to be generated at the network edge from thousands of mobile devices and internet of things (IoT) devices connected to the Internet. As a result of the success of IoT and AI technologies, it is of utmost importance that we expand the AI frontiers to the network edge in order for big data to be fully tapped. Edge computing (EC) can help overcome this trend because it allows computation-intensive AI applications to run on edge hardware. The topic of discussion in this chapter is edge intelligence (EI) technology's application in limiting virus spread during pandemics. 2024 Apple Academic Press, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Nanjundan P.; George J.P.; Karpagam C. Source A related resource from which the described resource is derived Reconnoitering the Landscape of Edge Intelligence in Healthcare, pp. 175-190. Publisher An entity responsible for making the resource available Apple Academic Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185138985&amp;partnerID=40&amp;md5=bfda0d0c3c38958c5263159c0b037f91" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185138985&amp;partnerID=40&amp;md5=bfda0d0c3c38958c5263159c0b037f91</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100089493-6; 978-177491436-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nanjundan P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; George J.P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; Karpagam C., Department of Computer Science with Data Analytics, Dr. N.G.P. Arts and Science College, Tamil Nadu, India