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

> **NIH NIH R01** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2020 · $626,275

## Abstract

Abstract
With South Carolina’s population already being vulnerable to poor health as evidenced by poor national health
rankings, challenging rural geography and health professional shortages, the impact of the novel Coronavirus
Disease 2019 (COVID-19) will be long lasting in the state. Patient morbidity and mortality rates already
continue to increase, with ongoing economic damage to health systems and businesses. The speed of
transmission 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 this
pandemic. As clinicians and frontline health workers battle to save lives, creating a data environment that
accelerates research is key, and necessary to battle the disease. Access to such information will equip frontline
health workers to continue the fight against the disease. This proposal will build the capacity for accelerated
research and intelligence gathering by coalescing multiple state partners and leveraging relevant data for
discoveries around COVID-19. To accomplish this, this proposal aims to (1) create a de-identified linked
database system via REDCap and a mobile application (app) to collate surveillance, clinical, multi-omics and
geospatial 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, and
geospatial visualization; and (3) identify important predictors of short- and long-term clinical outcomes of
COVID-19 patients in South Carolina using machine learning algorithms. These aims will be accomplished
through collaborations with multiple state agencies and stakeholders relevant to COVID-19 and the creation of
a REDCap database and mobile app that allow for coalescing relevant data in a timely fashion, combined with
leveraging of statewide integrated data warehouse capabilities.

## Key facts

- **NIH application ID:** 10136980
- **Project number:** 3R01AI127203-04S1
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Xiaoming Li
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $626,275
- **Award type:** 3
- **Project period:** 2017-06-20 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10136980

## Citation

> US National Institutes of Health, RePORTER application 10136980, BDD CIS: Big Data Driven Clinical Informatics & Surveillance - A Multimodal Database Focused Clinical, Community, & Multi-Omics Surveillance Plan for COVID19 (3R01AI127203-04S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10136980. Licensed CC0.

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