ALJOJO, Nahla, MUSSLEM, Alaa, SALIM, Wafa, AL-ZAHRANI, Waad, AL-FRRAN, Sultana, ABOUOLA, Omar, ALSHUTAYRI, Areej, ALHARBI, Basma, ALDHAHRI, Eman, ZAINOL, Azida and ALDWAILH, Hashim (2021). An Enhanced Autonomous Socio-Contact Tracing System of the Spread of Contiguous Diseases. International Journal of Online and Biomedical Engineering (iJOE), 17 (10), 59-70.
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Abstract
COVID-19 and other neighbouring diseases spread widely, resulting in a global epidemic that was impossible to manage and control. While numerous measures have been put in place to detect an infected person and protect uninfected areas from contracting these contagious diseases, the spread of diseases like COVID-19 continues to be rapid. As of the time of writing this paper, the number of affected people has continued to rise, and there is no clear indication of the number of people who are infected but have gone undiscovered and are spreading the infections. That is why, in order to combat the threat of contiguous disease spread, this research presented an upgraded autonomous socio-contact tracing system on a mobile platform. As a result, a generic system development process was used to create a system that allows an infected person who has been tested positive to track their electromagnetic ID card in order to determine their exact location and the risk of spreading contagious diseases. by an autonomous smart assistant that assists in describing symptoms. As a result, the system is equipped with notifications alerts for the stages of social group identification, processing, and control in order to avoid the spread of contagious diseases. The development of this system is critical for controlling epidemic diseases that are spreading over the world (particularly COVID-19) and posing a threat to people's lives. Furthermore, it contributes to a greater understanding of the seriousness of epidemic diseases and how to avoid them.
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