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Spatial Analysis of COVID 19 in KSA Related to Air Pollution Factor

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e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2021)

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Abstract

The pathogen of the disease COVID-19 is the extreme acute respiratory syndrome COVID-19 especially in the elderly and asthmatics. In our study, we examine if long-term exposure to air pollution raises the infection situations of COVID-19 in kingdom of Saudi Arabia (KSA). Through our studies, we proved that there is an associative relationship among the air pollution factor besides, the spread of COVID-19. As the results showed that compounds of air pollution such as Carbon monoxide (CO), Ozone (O3), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), and PARTICLES (PM10), are severely related to the occurrence of COVID-19 due to the rate of the ratio of these areas more in the areas with the most prevalence of cases of COVID-19, so we used in our study the SIR model. It is considered one of the easiest, most reliable tools, consisting of three compartments; prone, contaminated, and removed. Besides, we utilized the Runge-Kutta method.

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Authors and Affiliations

  1. Department of Computer Science, Taibah University, Medina, Saudi Arabia

    Najla Hamandi Alharbi, Zainab S. Alharthi, Nuha A. Alanezi & Liyakathunisa Syed

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  1. Najla Hamandi Alharbi
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  2. Zainab S. Alharthi
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  3. Nuha A. Alanezi
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  4. Liyakathunisa Syed
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Correspondence to Najla Hamandi Alharbi .

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Editors and Affiliations

  1. State University of Zanzibar, Zanzibar, Tanzania

    Yahya H. Sheikh

  2. State University of Zanzibar, Zanzibar, Tanzania

    Idris A. Rai

  3. State University of Zanzibar, Zanzibar, Tanzania

    Abubakar D. Bakar

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Alharbi, N.H., Alharthi, Z.S., Alanezi, N.A., Syed, L. (2022). Spatial Analysis of COVID 19 in KSA Related to Air Pollution Factor. In: Sheikh, Y.H., Rai, I.A., Bakar, A.D. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-031-06374-9_29

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  • DOI: https://doi.org/10.1007/978-3-031-06374-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06373-2

  • Online ISBN: 978-3-031-06374-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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