Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic

Abstract

The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of SARS-CoV-2, has terrified the worldwide human health. Primarily, COVID-19 challenges can be categorized into (a) way of epidemic prevention and blocking transmission, (b) live monitoring of infected / suspected persons (c) FDA approved vaccine. Leading to said COVID-19 (a), (b) challenges, digit technologies such Artificial Intelligence, Big data analytics and Internet of Things (IoT), can play a vital role in epidemic prevention and blocking COVID-19 transmission. In this study, we have proposed a smart edge surveillance system that is effective in remote monitoring, advance warning and detection of a person's fever, heart beat rate, cardiac conditions and some of the radiological features to detect the infected (suspicious) person using wearable smart gadgets. The proposed framework provides a continually updated map/pattern of communication chain of COVID-19 infected persons that may span around in our national community. The health and societal impact of suggested research is to help public health authorities, researchers and clinicians contain and manage this disease through smart edge surveillance systems. The proposed model will help to detect and track the contagious person. Moreover, it will also keep the patient's data record for analysis and decision making using edge computing.

A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

“…This application supports health care professionals to monitor public health remotely. Clinical symptoms of COVID-19 infected people can be detected by smart wearable gadgets [6,51]. A smartwatch can monitor the movement of COVID-19 patients [52], and their health parameters (such as heart rate, blood pressure, blood oxygen), providing COVID-19 signals to paramedics sent through mobile applications [37].…”

“…The advanced technology of IoT and smart devices has driven the development of intelligent systems that can monitor human mobility, geolocation of suspected and infected people, health condition, and health protocol compliance, see Table 3. The use of smart wearable devices, which have now become daily necessities, makes personal physical health data easier to be obtained and monitored [6,37,10]. Not only public health conditions, IoT research also pays attention to the changes in environmental quality and energy consumption due to the human behavior shifts during the pandemic [101,100,102].…”

“…Ashraf et al [6] introduced a strategy of layered edge computing mechanisms to identify medical health status and track people suspected of being infected with COVID-19. This layered mechanism helps reduce the system delay factor and get a quick response.…”

“…More than a year this pandemic has hit globally. Many countries have issued various policies to control the spread of the pandemic, such as working from home, learning from home, lockdown, travel restrictions, limiting the number of people in public places, and others [3,4,5,6,7,8,9,10]. This pandemic created a new norm in society to always wear masks, wash hands frequently, maintain physical distance.…”

A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction

“…Human activities recognition (HAR) has gained an immense amount of interest in research due to its tremendous applications in various daily life use cases [ 1 , 2 , 3 , 4 ], e.g., human–computer interface, health monitoring, clinical assessments, sports, among others. At different stages of the coronavirus age, outdoor physical activities have been badly affected as parks, gyms, sports clubs, among others, have been closed, and people have had to be restricted to their homes [ 5 , 6 ].…”