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

Abstract

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.

Cross-Validation Comparison of COVID-19 Forecast Models

“…Since that day, we are observing rapid increases [2][3][4] of cases that made authorities give daily government communication to update the information of the day before. In this context, one of the main issues is to know the future number of cases [5] with the least possible bias [6], to create adaptative tools [7], to determine the reproduction number [8][9][10][11][12], to check Recovery Time Period [13], or other parameters to define appropriate policies to control COVID-19 spread. Thus, it is easy to notice that numerous papers [14][15][16][17][18] have proposed different forecast models of COVID-19 using univariate or multivariate time series modeling.…”

Social Distance Monitoring Approach Using Wearable Smart Tags

“…Therefore, the developed SD-Tag is an effective social distance monitoring solution that can be employed indoors and outdoors and can minimize the spread of COVID-19 in public spaces. Unlike existing solutions [2][3][4][5]7], the proposed system can detect the presence of people in the area of interest and can estimate the distance between the user (who carries SD-Tag) and the surrounding people, with no need to attach an SD-Tag to every single person in the Park Mall. According to several experiments, only a few users needed to wear the SD-Tag, as the proposed system is based on image analysis, estimating the number of humans in a certain place, and can warn other SD-Tags in the same area.…”

“…Rajasekar proposed an IoT-based automated tracking system to identify possible contacts using cost-effective RFID tags and a mobile phone as an RFID reader [7]. The proposed system enables the tracking of people with COVID-19 using a mobile application run on the background and an RFID tag attached to the person infected by COVID-19.…”

AIoT Used for COVID-19 Pandemic Prevention and Control

“…With the help of IoT technology, remote physical intensive care of COVID-19 patients can be performed via intelligent mobile devices. Rajasekar [47] exploits a COVID-19 case tracking model, based on the use of IoTand All in all, with the novel coronary pneumonia spreading around the world, in order to provide remote intensive care, we must check the accuracy of face recognition system for remote intensive care before using the system. Facial recognition systems would also be more suitable for catching criminals or tracking missing people, which would reduce the workload of the police.…”