COVID-19 Joint Pandemic Modeling and Analysis Platform
Gautam Thakur, K. Sparks, Andy Berres, Varisara Tansakul, Supriya Chinthavali, Matthew Whitehead, Erik Schmidt, Haowen Xu, Junchuan Fan, Dustin Spears, Elton Cranfill
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.