A Measurement Approach Using Smart-IoT Based Architecture for Detecting the COVID-19

【Author】 Poongodi, M.; Nguyen, Tu N.; Hamdi, Mounir; Cengiz, Korhan

【Source】NEURAL PROCESSING LETTERS

【影响因子】2.565

【Abstract】The corona virus has infected the entire world in the most severe ways. Many countries found the situation is very difficult to deal with and their health support infrastructure is not sufficient to manage the spread. People are locked in their homes and the whole world economy is in danger. That final vaccine has not yet reached the masses to deal with the epidemic. The corona virus, also known as COVID-19, can be spread by touching or coming close contact with an affected person, which is why the risk becomes so significant. However, the emergence of new emerging innovative technology such as blockchain and the Internet of Things (IoT) has changed the healthcare sector, especially in preventive measures. Different devices have ushered in a new era in the field of symptom-based diagnosis where doctors can most easily identify a person with a corona infection. This article presents a robust health-based IoT systems that can strengthen full COVID-19 administration and achieve greater results with available resources. The simulation results confirm the effectiveness of the proposed infection detection system.

【Keywords】COVID-19; Infection tracing; Corona virus; Monitoring and tracing; Smart IoT

【发表时间】2021

【收录时间】2022-01-02

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