Agent-based Modeling of COVID-19: A case study of Hyderabad city

Authors

  • Iqbal Khatoon Mangrio Department of Software Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
  • Amirita Dewani Department of Software Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
  • Areej Fatemah Meghji Department of Software Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
  • Sania Bhatti Department of Software Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan.

DOI:

https://doi.org/10.21015/vtse.v11i1.1444

Abstract

This research aims to design and develop an agent-based model (ABM) that can simulate the COVID-19 outbreak, presenting the interaction dynamics and impact of various control strategies imposed in the city of Hyderabad, Pakistan. The observations include how ABM controls the disease outbreak depending on different scenarios. The individuals are visually represented in the form of agents that can interact with each other and can make decisions depending on the situation. The observations are made by studying the dynamics of the behavior of individual agents, and their movements from one compartment to the other. The ABM model is developed in NetLogo and simulates various hypothetical scenarios that reflect the real behavior of the virus’s interaction with humans and their environment while adjusting medical, social, and demographic parameters. The study results provide details on how restricting the social interactions between individuals and their movement decreases the rate of the spread of the virus.

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Published

2023-03-31

How to Cite

Mangrio, I. K., Dewani, A., Meghji, A. F., & Bhatti, S. (2023). Agent-based Modeling of COVID-19: A case study of Hyderabad city. VFAST Transactions on Software Engineering, 11(1), 76–84. https://doi.org/10.21015/vtse.v11i1.1444

Issue

Vol. 11 No. 1 (2023): January-March

Section

Articles

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