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6th International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020 ; 790:967-980, 2022.
Article in English | Scopus | ID: covidwho-1595634

ABSTRACT

COVID-19 is an infectious disease caused by the newly discovered coronavirus. With the number of detected cases increasing exponentially each day, it is very challenging to track the movements of an infected person for the duration of the incubation period of the virus. As there is no active vaccination that has been developed yet, it has become a huge concern globally to mitigate the effects of this virus. Countries across the world have been looking for ways to prevent the spread of this disease. There are various precautionary measures implemented worldwide, but this might not be very effective in the future for containing the transmission of the virus. This necessitates the development of a technique which can help track the whereabouts of the infected person and trace the spread of the virus. The aim of this paper is to discuss our progressive Web application (PWA) which compares and matches the user’s data with the data of a patient who has tested positive for COVID-19. This PWA uses geolocation to find the real-world geographic location of a person without Bluetooth and GPS turned on at all times. It alerts a user if they have come in contact with a COVID-positive patient in any particular place at any specific instance of time to take the necessary precautions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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