COVID-19 Joint Pandemic Modeling and Analysis Platform

Gautam Thakur; Kevin Sparks; Anne Berres; Varisara Tansakul; Supriya Chinthavali; Matthew Whitehead; Erik Schmidt; Haowen Xu; Junchuan Fan; Dustin Spears; Elton Cranfill

doi:10.1145/3423459.3430760

COVID-19 Joint Pandemic Modeling and Analysis Platform

Gautam Thakur, Kevin Sparks, Anne Berres, Varisara Tansakul, Supriya Chinthavali, Matthew Whitehead, Erik Schmidt, Haowen Xu, Junchuan Fan, Dustin Spears, Elton Cranfill

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

The non-pharmaceutical intervention to reduce the impact and spread of COVID-19 requires the development of policies and guidance through a collaborative effort among government, academia, medicine, and citizens. To operationalize this effort, we have developed an all-encompassing situational awareness platform that can process multi-modal and multi-source data allowing informed decision making. Besides, showing the current spread of infection, the platform also captures the impact of human dynamics on the infection spread, location, and availability of critical infrastructure, prediction, and high-performance computing driven simulation. The platform is extensible, allowing third-party integration and services to consume the curated data and analytics in near real-time. We believe the platform will augment critical decision making for reducing the impact and spread of the pandemic.

Original language	English
Title of host publication	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020
Editors	Andreas Zufle, Taylor Anderson, Jia Yu
Publisher	Association for Computing Machinery, Inc
Pages	43-52
Number of pages	10
ISBN (Electronic)	9781450381680
DOIs	https://doi.org/10.1145/3423459.3430760
State	Published - Nov 3 2020
Event	1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020 - Seattle, United States Duration: Nov 3 2020 → …

Publication series

Name	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020

Conference

Conference	1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020
Country/Territory	United States
City	Seattle
Period	11/3/20 → …

Funding

Research was supported by the DOE Office of Science through the National Virtual Biotechnology Laboratory, a consortium of DOE national laboratories focused on response to COVID-19, with funding provided by the Coronavirus CARES Act.

Funders	Funder number
National Virtual Biotechnology Laboratory
U.S. Department of Energy
Office of Science

Keywords

distributed systems
real-time architectures
visualization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3423459.3430760

Cite this

Thakur, G., Sparks, K., Berres, A., Tansakul, V., Chinthavali, S., Whitehead, M., Schmidt, E., Xu, H., Fan, J., Spears, D., & Cranfill, E. (2020). COVID-19 Joint Pandemic Modeling and Analysis Platform. In A. Zufle, T. Anderson, & J. Yu (Eds.), Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020 (pp. 43-52). (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3423459.3430760

Thakur, Gautam ; Sparks, Kevin ; Berres, Anne et al. / COVID-19 Joint Pandemic Modeling and Analysis Platform. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020. editor / Andreas Zufle ; Taylor Anderson ; Jia Yu. Association for Computing Machinery, Inc, 2020. pp. 43-52 (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020).

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title = "COVID-19 Joint Pandemic Modeling and Analysis Platform",

abstract = "The non-pharmaceutical intervention to reduce the impact and spread of COVID-19 requires the development of policies and guidance through a collaborative effort among government, academia, medicine, and citizens. To operationalize this effort, we have developed an all-encompassing situational awareness platform that can process multi-modal and multi-source data allowing informed decision making. Besides, showing the current spread of infection, the platform also captures the impact of human dynamics on the infection spread, location, and availability of critical infrastructure, prediction, and high-performance computing driven simulation. The platform is extensible, allowing third-party integration and services to consume the curated data and analytics in near real-time. We believe the platform will augment critical decision making for reducing the impact and spread of the pandemic.",

keywords = "distributed systems, real-time architectures, visualization",

author = "Gautam Thakur and Kevin Sparks and Anne Berres and Varisara Tansakul and Supriya Chinthavali and Matthew Whitehead and Erik Schmidt and Haowen Xu and Junchuan Fan and Dustin Spears and Elton Cranfill",

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doi = "10.1145/3423459.3430760",

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Thakur, G , Sparks, K, Berres, A, Tansakul, V, Chinthavali, S, Whitehead, M, Schmidt, E, Xu, H , Fan, J, Spears, D & Cranfill, E 2020, COVID-19 Joint Pandemic Modeling and Analysis Platform. in A Zufle, T Anderson & J Yu (eds), Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020, Association for Computing Machinery, Inc, pp. 43-52, 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020, Seattle, United States, 11/3/20. https://doi.org/10.1145/3423459.3430760

COVID-19 Joint Pandemic Modeling and Analysis Platform. / Thakur, Gautam ; Sparks, Kevin; Berres, Anne et al.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020. ed. / Andreas Zufle; Taylor Anderson; Jia Yu. Association for Computing Machinery, Inc, 2020. p. 43-52 (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tansakul, Varisara

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AU - Whitehead, Matthew

AU - Schmidt, Erik

AU - Xu, Haowen

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AU - Spears, Dustin

AU - Cranfill, Elton

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Thakur G , Sparks K, Berres A, Tansakul V, Chinthavali S, Whitehead M et al. COVID-19 Joint Pandemic Modeling and Analysis Platform. In Zufle A, Anderson T, Yu J, editors, Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020. Association for Computing Machinery, Inc. 2020. p. 43-52. (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, COVID-19 2020). doi: 10.1145/3423459.3430760

COVID-19 Joint Pandemic Modeling and Analysis Platform

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

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