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Is epidemiology ready for Big Software?

Cliff C Kerr1

  • 1A28 Physics Rd, Camperdown, Complex Systems Group, School of Physics, University of Sydney, NSW 2006, Australia.

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Summary
This summary is machine-generated.

Large-scale, open-source epidemiological modeling software like EMOD provides advanced flexibility and support. Adopting professional software development practices ensures wider access to sophisticated epidemiological models.

Keywords:
EMODepidemiologyindividual-based modelsmodeling

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Area of Science:

  • Epidemiology
  • Computational Biology
  • Software Engineering

Background:

  • Traditional epidemiological models are often 'single-use' and lack comprehensive support.
  • Individual research teams typically develop these models, limiting their scalability and maintainability.

Discussion:

  • EMOD (Epidemiological Modeling) is a large-scale, open-source software project utilizing modern development practices.
  • It functions as an individual-based model, offering greater complexity and flexibility compared to common compartmental models.
  • Advantages include professional development, comprehensive documentation, automated testing, and extensive support.

Key Insights:

  • Open-source, large-scale software development offers superior advantages over traditional, single-use epidemiological models.
  • Individual-based modeling in EMOD allows for more complex and flexible simulations.
  • Professional software engineering practices enhance model reliability and accessibility.

Outlook:

  • Adoption of EMOD and similar platforms is crucial for advancing epidemiological research.
  • Ensuring the availability of sophisticated, well-supported models to a broader community is essential.
  • Future developments may focus on further integrating advanced software engineering principles into epidemiological modeling tools.