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Agent-Based Modeling of the Hajj Rituals with the Possible Spread of COVID-19

Author

Listed:
  • Ali M. Al-Shaery

    (Department of Civil Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Bilal Hejase

    (Department of Electrical Engineering, Ohio State University, Columbus, OH 43210, USA)

  • Abdessamad Tridane

    (Mathematical Sciences Department, College of Science, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Norah S. Farooqi

    (College of Computer and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Hamad Al Jassmi

    (Emirates Center for Mobility Research, United Arab Emirates University, Al Ain 15551, United Arab Emirates
    Department of Civil & Environmental Engineering, College of Engineering, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

Abstract

With the coronavirus (COVID-19) pandemic continuing to spread around the globe, there is an unprecedented need to develop different approaches to containing the pandemic from spreading further. One particular case of importance is mass-gathering events. Mass-gathering events have been shown to exhibit the possibility to be superspreader events; as such, the adoption of effective control strategies by policymakers is essential to curb the spread of the pandemic. This paper deals with modeling the possible spread of COVID-19 in the Hajj, the world’s largest religious gathering. We present an agent-based model (ABM) for two rituals of the Hajj: Tawaf and Ramy al-Jamarat. The model aims to investigate the effect of two control measures: buffers and face masks. We couple these control measures with a third control measure that can be adopted by policymakers, which is limiting the capacity of each ritual. Our findings show the impact of each control measure on the curbing of the spread of COVID-19 under the different crowd dynamics induced by the constraints of each ritual.

Suggested Citation

  • Ali M. Al-Shaery & Bilal Hejase & Abdessamad Tridane & Norah S. Farooqi & Hamad Al Jassmi, 2021. "Agent-Based Modeling of the Hajj Rituals with the Possible Spread of COVID-19," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6923-:d:578066
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    References listed on IDEAS

    as
    1. Silva, Petrônio C.L. & Batista, Paulo V.C. & Lima, Hélder S. & Alves, Marcos A. & Guimarães, Frederico G. & Silva, Rodrigo C.P., 2020. "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    2. Almoaid Owaidah & Doina Olaru & Mohammed Bennamoun & Ferdous Sohel & Nazim Khan, 2019. "Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(2), pages 1-9.
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    1. Heba Kurdi & Amal Alzuhair & Dana Alotaibi & Hesah Alsweed & Noor Almoqayyad & Razan Albaqami & Alhanoof Althnian & Najla Alnabhan & A. B. M. Alim Al Islam, 2022. "Crowd Evacuation in Hajj Stoning Area: Planning through Modeling and Simulation," Sustainability, MDPI, vol. 14(4), pages 1-18, February.

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