A Framework for Modeling, Analyzing, and Decision-Making in Disease Spread Dynamics and Medicine/Vaccine Distribution

Zenin Easa Panthakkalakath, Neeraj, Jimson Mathew
11/16/2023
cs.MA

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Abstract

The challenges posed by epidemics and pandemics are immense, especially if the causes are novel. This article introduces a versatile open-source simulation framework designed to model intricate dynamics of infectious diseases across diverse population centres. Taking inspiration from historical precedents such as the Spanish flu and COVID-19, and geographical economic theories such as Central place theory, the simulation integrates agent-based modelling to depict the movement and interactions of individuals within different settlement hierarchies. Additionally, the framework provides a tool for decision-makers to assess and strategize optimal distribution plans for limited resources like vaccines or cures as well as to impose mobility restrictions.

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Cite this paper

@article{panthakkalakath2023framework,
  title  = {A Framework for Modeling, Analyzing, and Decision-Making in Disease Spread Dynamics and Medicine/Vaccine Distribution},
  author = {Zenin Easa Panthakkalakath and Neeraj and Jimson Mathew},
  year   = {2023},
  eprint = {2311.09984},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.09984v1}
}

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