January 2021

Conference Paper

COVID-19 Joint Pandemic Modeling and Analysis Platform

By:
Malviya Thakur, Gautam ; Sparks, Kevin A; Berres, Anne S; Tansakul, Varisara ; Chinthavali, Supriya ; Whitehead, Matthew C; Schmidt, Erik H; Xu, Haowen ; Fan, Junchuan ; Spears, Dustin L; Cranfill, Elton J
Page Number:
43-52
Issue Number:
1
Book Title:
COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19
Publication Date:
January 21, 2021
Conference Name:
ACM SigSpatial
Conference Location:
Seattle, Washington, United States of America
Conference Sponsor:
ACM
View DOI Listing:
https://doi.org/10.1145/3423459.3430760

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.