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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References
General Authority for Satistics, Kingdom of Saudi Arabia. https://www.stats.gov.sa/en
http://saudigazette.com.sa/article/591598/SAUDI-ARABIA/Saudi-corona-cases-stand-at-2795-recoveries-now-615. Accessed 03 May 2020
Minsitry of Health, Saudi Arabia. https://www.moh.gov.sa/en/Ministry/MediaCenter/News/Pages/News-2019-08-25-016.aspx
Saudi Press News Agency. www.spa.gov.sa/1958256
Nafea, I.: Mobile health application running on public cloud during Hajj. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science, vol 10486. Springer, Cham (2017)
Mobi health news, By Rachel McArthur, “Bahrain launches electronic bracelets to keep track of active COVID-19 cases”, April 08 2020. https://www.mobihealthnews.com/news/europe/bahrain-launches-electronic-bracelets-keep-track-active-covid-19-cases
South China morning post, “Chinese police now have AI helmets for temperature screening”, Abacus. Published: 4:17 pm, 28 Feb, 2020. https://www.scmp.com/tech/article/3052879/chinese-police-now-have-ai-helmets-temperature-screening
Communication and Information Technology Comission, Publish Date: 10/12/1440. https://www.citc.gov.sa/en/mediacenter/pressreleases/Pages/2019081101.aspx. Accessed 14 June 2020
Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., Song, C.: COVID-19: challenges to GIS with big data. Geogr. Sustain. 1(1), 77–87 (2020)
Jung, J.H., Shin, J.I.: Big data analysis of media reports related to COVID-19. Int. J. Environ. Res. Pub. Health 17(16), 5688 (2020)
Vaishya, R., Javaid, M., Khan, I.H., Haleem, A.: Artificial Intelligence (AI) applications for COVID-19 pandemic. Diab. Metab. Syndr. Clin. Res. Rev. 14(4), 337–339 (2020)
Hua, J., Shaw, R.: Corona virus (Covid-19) “infodemic” and emerging issues through a data lens: the case of china. Int. J. Environ. Res. Publ. Health 17(7), 2309 (2020)
Wang, C.J., Ng, C.Y., Brook, R.H.: Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. Jama 323(14), 1341–1342 (2020)
Ienca, M., Vayena, E.: On the responsible use of digital data to tackle the COVID-19 pandemic. Nat. Med. 26(4), 463–464 (2020)
Pham, Q.V., Nguyen, D.C., Hwang, W.J., Pathirana, P.N.: Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts (2020)
Ting, D.S.W., Carin, L., Dzau, V., Wong, T.Y.: Digital technology and COVID-19. Nat. Med. 26(4), 459–461 (2020)
Bragazzi, N.L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., Wu, J.: How big data and artificial intelligence can help better manage the COVID-19 pandemic. Int. J. Environ. Res. Publ. Health 17(9), 3176 (2020)
Lin, L., Hou, Z.: Combat COVID-19 with artificial intelligence and big data. J. Travel Med. 27(5), taaa080 (2020)
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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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