BDD CIS: Big Data Driven Clinical Informatics & Surveillance - A Multimodal Database Focused Clinical, Community, & Multi-Omics Surveillance Plan for COVID19

AbstractWith South Carolina's population already being vulnerable to poor health as evidenced by poor national healthrankings, challenging rural geography and health professional shortages, the impact of the novel CoronavirusDisease 2019 (COVID-19) will be long lasting in the state. Patient morbidity and mortality rates alreadycontinue to increase, with ongoing economic damage to health systems and businesses. The speed oftransmission and geographical spread of COVID-19 across South Carolina and the United States is alarming,which combined with the novel nature of the disease justifies the need for accelerated research to combat thispandemic. As clinicians and frontline health workers battle to save lives, creating a data environment thataccelerates research is key, and necessary to battle the disease. Access to such information will equip frontlinehealth workers to continue the fight against the disease. This proposal will build the capacity for acceleratedresearch and intelligence gathering by coalescing multiple state partners and leveraging relevant data fordiscoveries around COVID-19. To accomplish this, this proposal aims to (1) create a de-identified linkeddatabase system via REDCap and a mobile application (app) to collate surveillance, clinical, multi-omics andgeospatial data on both COVID-19 patients and health workers treating COVID-19 patients in South Carolina;(2) examine the natural history of COVID-19 including transmission dynamics, disease progression, andgeospatial visualization; and (3) identify important predictors of short- and long-term clinical outcomes ofCOVID-19 patients in South Carolina using machine learning algorithms. These aims will be accomplishedthrough collaborations with multiple state agencies and stakeholders relevant to COVID-19 and the creation ofa REDCap database and mobile app that allow for coalescing relevant data in a timely fashion, combined withleveraging of statewide integrated data warehouse capabilities.