Rajasekar Sakthi Jaya Sundar
Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, Chengalpattu District, Tamil Nadu 603319 India.
SN Comput Sci. 2021;2(1):42. doi: 10.1007/s42979-020-00400-y. Epub 2021 Jan 18.
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.
新冠疫情已促使世界各国实施严格宵禁和紧急措施，以防止该疾病的人际传播。为实现这一目标，需要对疑似新冠病例进行有效的追踪。鉴于每天记录的病例数量众多，简单的人工追踪无法有效完成这一过程。因此，我们提出了一种基于物联网（IoT）的自动追踪方法，通过部署经济高效的射频识别（RFID）标签以及个人手机（作为读取器）来识别可能的接触者。由此，即使在疑似病例不知情的情况下，也能够追踪与该对象有过接触的人员。这将使对可能的一级和二级接触者进行百分百隔离并由行政机构对其进行监测成为可能。这将增强各国应对疫情的能力。
