An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases

• Published in: SN computer science Vol. 2; no. 1; p. 42
• Main Author: Rajasekar, Sakthi Jaya Sundar
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.02.2021; Springer Nature B.V
• Subjects: Advances in Computational Approaches for Artificial Intelligence; Cellular telephones; Communication; Comorbidity; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Contact tracing; Coronaviruses; COVID-19; Data Structures and Information Theory; Disease transmission; Emergency medical care; Health care policy; Hospitals; Image Processing, IoT and Cloud Applications; Information Systems and Communication Service; Internet of Things; Machine learning; Original Research; Pandemics; Pattern Recognition and Graphics; Quarantine; Radio frequency identification; Software Engineering/Programming and Operating Systems; Tracing; Tracking; Vision; COVID-19; Internet of Things (IoT); Radio Frequency Identification (RFID) tag; Near Field Communication (NFC)
• ISSN: 2662-995X; 2661-8907; 2661-8907
• DOI: 10.1007/s42979-020-00400-y

The COVID-19 pandemic has alarmed the world nations to impose strict curfews and emergencies to prevent the social transmission of the disease. In order to achieve this, effective Tracing and Tracking of the suspected COVID-19 cases need to be achieved. In view of the enormous number of cases being recorded each day, this process couldn’t be performed effectively with simple manual tracing. Hence, we have proposed an Internet of Things (IoT) based automated Tracing and Tracking method for identification of the possible contacts with deployment of cost-effective RFID Tags and the mobile of the individuals which act as a reader. Thereby, tracing of persons who have crossed the subject would be possible even without the knowledge of the suspected cases. This would enable cent percent quarantine of possible primary and secondary contacts and monitoring of the same by the administrative agencies. This would augment the nations’ capability of managing the pandemic.