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Smartphone-based electrochemical sensor for assessing COVID-19 infected patients
International Journal of Pervasive Computing and Communications ; ahead-of-print(ahead-of-print):10, 2020.
Article in English | Web of Science | ID: covidwho-978655
ABSTRACT
Purpose The purpose of the study is to highlight the potential of the sensor based smartphone in assessing the covid-19 cases. Coronavirus disease 2019 (COVID-19) is a noxious pandemic affecting the respiratory system of the human and leading to the severe acute respiratory syndrome, sometimes causing death. COVID-19 is a highly transmittable disease that spreads from an infected person to others. In this regard, a smart device is required to monitor the COVID-19 infected patients by which widespread pandemic can be reduced. Design/methodology/approach In this paper, an electrochemical sensor-enabled smartphone has been developed to assess the COVID-19 infected patients. The data-enabled smartphone uses the Internet of Things (IoT) to share the details with the other devices. The electrochemical sensor enables the smartphone to evaluate the ribonucleic acid (RNA) of COVID-19 without the nucleic acid and feeds the data into the data server by using a smartphone. Findings The obtained result identifies the infected person by using the portable electrochemical sensor-enabled smartphone, and the data is feed into the data server using the IoT. Whenever an infected person moves outside the restricted zone, the data server gives information to the concerned department. Originality/value The developed electrochemical sensor-enabled smartphone gives an accuracy of 81% in assessing the COVID-19 cases. Thus, through the developed approach, a COVID-19 infected person can be identified and the spread can be minimized.

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: International Journal of Pervasive Computing and Communications Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: International Journal of Pervasive Computing and Communications Year: 2020 Document Type: Article