# Clinical and Translational Science Award

> **NIH NIH UL1** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $768,511

## Abstract

PROJECT SUMMARY: COMBATCOVID
The coronavirus (COVID-19) pandemic has affected every corner of the globe and has redefined healthcare
throughout the United States. COVID-19 cases in the New York City tri-state area have reached an
extraordinarily high number and have quickly become the epicenter region of the crisis in the United States. In
New York State alone, there are over 372,000 confirmed cases as of June 1, 2020. NYU Langone Health
(NYULH) has been particularly hard hit, with more than 8,100 COVID-19 hospitalizations to date.
In response, the entire clinical research community is marshalling resources in an attempt to improve our
understanding of how the virus spreads, how it infects various tissues in the body, which patients are more
susceptible to infection and fatal outcomes, which therapeutics improve symptoms and survival, whether the
immune response confers long-lasting protection against reinfection, and many other crucially important
questions.
The complexity of the development of this disease and unpredictability of progression into severity, as well as
the variety of phenotypic outcomes observed during and post COVID-19, pose major challenges in
understanding, predicting, preventing, managing and treating this disease and its sequelae. Answers to these
challenges can only be achieved through the comprehensive analysis of a significantly high number of COVID
cases. Given how recent and unknown this disease is, and its inherent epidemic nature, there is a limited number
of cases at individual medical institutions. The limitation of number of cases per institution becomes even more
relevant when isolating subpopulations with specific health conditions and across the lifespan.
This proposed study will aim to overcome the above-mentioned challenges by supporting the formation of a
consortium comprising multiple medical institutions in the U.S.: COMBATCOVID (Consortium for Multisite
Biomedical Analytics and Trials on COVID-19).
COMBATCOVID will bring together electronic health records (EHR) data from multiple participating institutions
into a shared centralized database. As part of the COMBATCOVID effort, biorepository data of COVID-19
patients collected by some of the participating institutions will also be shared and linked to the respective EHR
data. The COMBATCOVID consortium will be responsible for transferring EHR data pertaining to participating
institutions interested in contributing EHR data to the N3C database.

## Key facts

- **NIH application ID:** 10183901
- **Project number:** 3UL1TR001445-05S2
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** BRUCE Neil CRONSTEIN
- **Activity code:** UL1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $768,511
- **Award type:** 3
- **Project period:** 2015-08-18 → 2021-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10183901

## Citation

> US National Institutes of Health, RePORTER application 10183901, Clinical and Translational Science Award (3UL1TR001445-05S2). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10183901. Licensed CC0.

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