Designing a Framework to Control ‎the Spread of Covid-19 by Utilizing ‎Cellular System

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Awder Mohammed ahmed


Nowadays coronavirus (Covid-19) has become a concerning issue in the world, according to WHO latest report more than 8,000000 of people in our planet have been infected and more than 400000 of people have died until the writing of this paper. Everybody on this planet is exposed to get this pandemic. Scientists, organizations, governments, and universities around the world endeavor to ‎find proper solutions to control the spread ‎of covid-19. Thus, the aim of this paper is to propose an applicable framework to control the spread of Covid-19 by utilizing Cellular System. This is done by Haversine formula to calculate the distance between mobile phones based on cell towers. And it can also be fulfilled via designing a framework which is composed of four phases. Phase 1, deals with distance calculation and data collection about the infected and suspected persons. Then in phase 2, the Authorized Clinical Center (ACC) delivers the ID of the infected person to the Telecom Company (TC) to gather information about the unknown suspected persons. In turn, phase 3 diagnoses the infected persons and informs them to visit the ACC. In the last phase, the suspected persons are tested and the infected ones are recognize.



Covid-19, ‎ Cellular System, ‎ Cell Tower, ‎ Mobile Phone, ‎ Haversine Formula.‎


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‎[1]‎ J. Turner-Musa, O. Ajayi, and L. Kemp, “Examining Social Determinants of Health, Stigma, and ‎COVID-19 Disparities,” Healthcare, vol. 8, no. 2, p. 168, Jun. 2020, doi: ‎‎10.3390/healthcare8020168.‎
‎[2]‎ ‎ World Health Organization. WHO timeline—COVID-19. Available online: ‎ (accessed on 10 June ‎‎2020).‎
‎[3]‎ ‎mediterranean-on-covid-19-in-yemen.html (accessed on 12 June 2020).‎
‎[4]‎ World Health Organization, "Coronavirus disease (COVID-2019) situation reports", 2020 (accessed ‎on 25 April 2020). ‎
‎[5]‎ S. Q. Salih, “Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-‎ray Images,” no. June, 2020, doi: 10.24017/covid.14.‎
‎[6]‎ Q. Pham, D. C. Nguyen, T. Huynh-the, W. Hwang, and P. N. Pathirana, “Artificial Intelligence ( AI ) ‎and Big Data for Coronavirus ( COVID-19 ) Pandemic : A Survey on the State-of-the-Arts,” IEEE ‎Trans. Artif. Intel., vol. PP, no. April, pp. 1–17, 2020, doi: 10.20944/preprints202004.0383.v1.‎
‎[7]‎ P. D. Premlal and N. V. Eldhose, “Mobile tower radiation-an assessment of radiation level and its ‎health implications in the residential areas of western ghats in idukki, Kerala,” Int. J. Appl. Eng. Res., ‎vol. 12, no. 20, pp. 9548–9554, 2017.‎
‎[9]‎ H. Wang, S. Xie, K. Li, and M. Omair Ahmad, “Big data-driven cellular information detection and ‎coverage identification,” Sensors (Switzerland), vol. 19, no. 4, pp. 1–23, 2019, doi: ‎‎10.3390/s19040937.‎
‎[10]‎ M. H. A. Meniem, A. M. Hamad, and E. Shaaban, “Fast and Accurate Practical Positioning Method ‎using Enhanced-Lateration Technique and Adaptive Propagation Model in GSM Mode,” Int. J. ‎Comput. Sci. Issues, vol. 9, no. 2, pp. 188–193, 2012.‎
‎[11]‎ I. Vin, D. P. Gaillot, P. Laly, M. Liénard, and P. Degauque, “Overview of mobile localization ‎techniques and performances of a novel fingerprinting-based method,” Comptes Rendus Phys., vol. ‎‎16, no. 9, pp. 862–873, 2015, doi: 10.1016/j.crhy.2015.10.006.‎
‎[12]‎ L. Cheng, C. Wu, Y. Zhang, H. Wu, M. Li, and C. Maple, “A survey of localization in wireless sensor ‎network,” Int. J. Distrib. Sens. Networks, vol. 2012, 2012, doi: 10.1155/2012/962523.‎
‎[13]‎ D. A. Prasetya, P. T. Nguyen, R. Faizullin, I. Iswanto, and E. F. Armay, “Resolving the ‎shortest path ‎problem using the haversine algorithm,” J. Crit. Rev., vol. 7, no. 1, pp. ‎‎62–64, 2020, doi: ‎‎10.22159/jcr.07.01.11.‎
‎[14]‎ R. Purbaningtyas, A. Arizal, and M. Sholehuddin, “Regional Leading Potential Recommendations: ‎Implementation of Haversine Formula in Sidoarjo on Hands Mobile Applications,” Probl. Inf. ‎Technol., vol. 10, no. 2, pp. 70–76, 2019, doi: 10.25045/jpit.v10.i2.10.‎
‎[15]‎ C. Nurul. Alam, K Manaf, A. R. Atmadja, and D. K. Aurum, “Implementation of Haversine Formula ‎for Counting Event Visitor in The Radius Based on Android Application, ”‎