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City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic
arXiv - CS - Other Computer Science Pub Date : 2020-08-11 , DOI: arxiv-2008.04849
Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan

We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the context of the COVID-19 pandemic and demonstrate the power of the simulator via several exploratory case studies in two metropolises, Bengaluru and Mumbai. Such tools become common-place in any city administration's tool kit in our march towards digital health.

中文翻译:

用于研究 COVID-19 流行背景下非药物干预的城市规模代理模拟器

我们强调了城市规模的基于代理的模拟器在研究各种非药物干预措施以管理不断演变的流行病方面的有用性。我们在 COVID-19 大流行的背景下开展我们的研究,并通过班加罗尔和孟买这两个大都市的几个探索性案例研究展示了模拟器的强大功能。在我们迈向数字健康的过程中,此类工具在任何城市管理的工具包中都司空见惯。
更新日期:2020-08-24
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