Scalable Epidemiological Workflows to Support COVID-19 Planning and Response

Dustin Machi,Parantapa Bhattacharya,Stefan Hoops,Jiangzhuo Chen,Henning Mortveit,Srinivasan Venkatramanan,Bryan Lewis,Mandy Wilson,Arindam Fadikar,Tom Maiden,Christopher L. Barrett,Madhav V. Marathe

2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)（2021）

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摘要

The COVID-19 global outbreak represents the most significant epidemic event since the 1918 influenza pandemic. Simulations have played a crucial role in supporting COVID-19 planning and response efforts. Developing scalable workflows to provide policymakers quick responses to important questions pertaining to logistics, resource allocation, epidemic forecasts and intervention analysis remains a ch...

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关键词

COVID-19,Analytical models,Pandemics,Computational modeling,Surveillance,Scalability,Tools

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