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BharatSim: An agent-based modelling framework for India.

Philip Cherian1, Jayanta Kshirsagar2, Bhavesh Neekhra3

  • 1Department of Physics, Ashoka University, Sonepat, Haryana, India.

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|January 8, 2025
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Summary
This summary is machine-generated.

BharatSim is an open-source agent-based model for India, simulating up to 50 million individuals. This framework enables detailed analysis of public health and social science questions specific to India.

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Area of Science:

  • Computational epidemiology
  • Agent-based modeling
  • Computational social science

Background:

  • Agent-based modeling (ABM) is crucial for understanding complex population dynamics.
  • Existing ABM frameworks often lack country-specific synthetic populations, limiting their applicability.
  • India's unique demographic and health landscape requires tailored simulation tools.

Purpose of the Study:

  • Introduce BharatSim, an open-source agent-based modeling framework for the Indian population.
  • Demonstrate BharatSim's utility in addressing COVID-19-related public health questions in India.
  • Highlight BharatSim's potential for computational social science research.

Main Methods:

  • Developed an open-source agent-based modeling framework (BharatSim) for India.
  • Created a synthetic population using statistical methods and machine learning on diverse Indian survey data.
  • Implemented a domain-specific language and a Scala-based computational core supporting up to 50 million agents.

Main Results:

  • BharatSim successfully simulates diverse populations at multiple scales.
  • The framework was used to explore school reopening strategies, variant impact, and non-pharmaceutical interventions (NPIs) for COVID-19 in India.
  • Demonstrated the ability to generate India-specific insights into disease dynamics and social behavior.

Conclusions:

  • BharatSim provides a powerful, India-specific tool for epidemiological and social science research.
  • The framework facilitates the study of public health interventions and emergent social patterns.
  • BharatSim's open-source nature promotes wider adoption and collaborative research in India.