Scalable Epidemiological Workflows to Support COVID-19 Planning and Response

• Published in: medRxiv : the preprint server for health sciences
• Main Authors: Machi, Dustin, Bhattacharya, Parantapa, Hoops, Stefan, Chen, Jiangzhuo, Mortveit, Henning, Venkatramanan, Srinivasan, Lewis, Bryan, Wilson, Mandy, Fadikar, Arindam, Maiden, Tom, Barrett, Christopher L, Marathe, Madhav V
• Format: Journal Article
• Language: English
• Published: United States 26.02.2021

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 per...