Abstract
Human movement is a significant factor in extensive spatial-transmission models of contagious viruses. The proposed COUNTERACT system recognizes infectious sites by retrieving location data from a mobile phone device linked with a particular infected subject. The proposed approach is computing an incubation phase for the subject's infection, backpropagation through the subjects’ location data to investigate a location where the subject has been during the incubation period. Classifying to each such site as a contagious site, informing exposed suspects who have been to the contagious location, and seeking near real-time or real-time feedback from suspects to affirm, discard, or improve the recognition of the infectious site. This technique is based on the contraption to gather confirmed infected subject and possibly carrier suspect area location, correlating location for the incubation days. Security and privacy are a specific thing in the present research, and the system is used only through authentication and authorization. The proposed approach is for healthcare officials primarily. It is different from other existing systems where all the subjects have to install the application. The cell phone associated with the global positioning system (GPS) location data is collected from the COVID-19 subjects.
Highlights
Influenza, more commonly known as “flu’, spreads around the world in seasonal epidemics, resulting in about three to five million yearly cases of severe illness and about 250,000–500,000 annual deaths, rising to millions in some pandemic years
The cell phone associated with the global positioning system (GPS) location data is collected from the COVID-19 subjects
Teleservice pro vider gets access information of GPS data from Lawful Interception Box (LIB) and Lawful Interception Controller (LIC), and the data is sent through the internet link to Database Server Module
Summary
More commonly known as “flu’, spreads around the world in seasonal epidemics, resulting in about three to five million yearly cases of severe illness and about 250,000–500,000 annual deaths, rising to millions in some pandemic years. The presented research work did not provide any details related to GPS based tracking privacy issues and real-time detection of COVID19 suspects using location data (Fahey & Hino, 2020). Mallik and his team discussed a GPS tracking application to track the ambulances carrying COVID19 health patients. Skoll and his fellow researchers discuss the ideas of COVID-19 testing and surveil lance, digital contact tracing, and mass-testing of COVID19 individuals in the USA They did not propose a real-time system to detect COVID19 suspects using GPS Spatio-temporal data (Skoll, Miller, & Saxon, 2020).
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