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用于研究新冠疫情背景下非药物干预措施的基于智能体的城市规模模拟器:印度科学研究所-塔塔基础研究所新冠疫情城市规模模拟团队

City-Scale Agent-Based Simulators for the Study of Non-pharmaceutical Interventions in the Context of the COVID-19 Epidemic: IISc-TIFR COVID-19 City-Scale Simulation Team.

作者信息

Agrawal Shubhada, Bhandari Siddharth, Bhattacharjee Anirban, Deo Anand, Dixit Narendra M, Harsha Prahladh, Juneja Sandeep, Kesarwani Poonam, Swamy Aditya Krishna, Patil Preetam, Rathod Nihesh, Saptharishi Ramprasad, Shriram Sharad, Srivastava Piyush, Sundaresan Rajesh, Vaidhiyan Nidhin Koshy, Yasodharan Sarath

机构信息

TIFR, Mumbai, India.

Indian Institute of Science, Bangalore, India.

出版信息

J Indian Inst Sci. 2020;100(4):809-847. doi: 10.1007/s41745-020-00211-3. Epub 2020 Nov 12.

Abstract

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 may in time become a common-place item in the tool kit of the administrative authorities of large cities.

摘要

我们强调基于智能体的城市规模模拟器在研究各种非药物干预措施以应对不断演变的大流行方面的有用性。我们将研究置于新冠疫情的背景下,并通过在班加罗尔和孟买这两个大都市进行的几个探索性案例研究来展示模拟器的强大功能。这类工具可能最终会成为大城市行政当局工具包中的常见物品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b08/7657713/4b73d0611405/41745_2020_211_Fig1_HTML.jpg

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