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Big Data Analytics Model for Preventing the Spread of COVID-19 During Hajj Using the Proposed Smart Hajj Application

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Innovative Systems for Intelligent Health Informatics (IRICT 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 72))

Abstract

Following the declaration of COVID-19 as a global disaster, one of the affected events is the Hajj. Ideally, the desire by the faithful to observe their religious practices calls for collaborative efforts. Ideally, the Kingdom of Saudi Arabia can adopt smart technology in facilitating the fight against the spread of the disease. After declaring Covid 19 as a global pandemic, new challenges for the healthcare sector in Hajj have emerged. Hajj represents a major challenge to the Saudi Ministry of Health (MOH) in addressing early detection of infection and controlling it at large gatherings of people. As seen in countries such as Australia, Bahrain, and China, smart technology enhances contact tracing, isolation, and even monitoring. Through the proposed Smart Hajj application, pilgrimage will be facilitated in a manner allowing the collection of data on the people. Ideally, the application will be applied from the start of the trip to the end. As such, the application allows the generation a solution from different data resources for the prevention of COVID-19 thus enhancing the pilgrimage experience.

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Correspondence to Ibtehal Nafea .

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Nafea, I. (2021). Big Data Analytics Model for Preventing the Spread of COVID-19 During Hajj Using the Proposed Smart Hajj Application. In: Saeed, F., Mohammed, F., Al-Nahari, A. (eds) Innovative Systems for Intelligent Health Informatics. IRICT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-70713-2_44

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