A28 Physics Rd, Camperdown, Complex Systems Group, School of Physics, University of Sydney, NSW 2006, Australia.
Pathog Dis. 2019 Feb 1;77(1). doi: 10.1093/femspd/ftz006.
Large-scale, open-source software projects like EMOD offer a new approach to epidemiological modeling. Built by a team of professional software developers, EMOD offers significant advantages over 'single-use' models designed by individual research teams, including comprehensive documentation, automated testing and extensive support. In addition, as an individual-based model, it allows much greater complexity and flexibility than the compartmental models that are most commonly used in epidemiology. Adopting modern software development practices, as embodied by EMOD, is essential for ensuring that the best models are available to the greatest number of people.
像 EMOD 这样的大型开源软件项目为流行病学建模提供了一种新方法。EMOD 由专业软件开发人员团队构建，与单个研究团队设计的“一次性”模型相比具有显著优势，包括全面的文档、自动化测试和广泛的支持。此外，作为一个基于个体的模型，它比流行病学中最常用的隔室模型允许更大的复杂性和灵活性。采用 EMOD 所体现的现代软件开发实践对于确保将最好的模型提供给最多的人是至关重要的。
