Abstract

The ongoing COVID-19 pandemic has taken a significant toll on the physical, mental, social, and economic well- being for the American people. However, the research of COVID-19 related treatments and outcomes has been hampered by lack of a large-scale, well-coordinated, and readily available clinical data repository. The National Institutes of Health has launched the COVID Cohort Collaborative (N3C) to establish a centralized data repository of up-to-date and curated databases to store vast amounts of electronic medical records from people diagnosed with coronavirus. This central data repository aims to provide rapid, open, secure, and well-managed access for all researchers to study the coronavirus disease, to better understand risk factors, and to develop effective treatments. Penn State CTSI is fully committed to contribute to N3C?s initiatives and has determined to leverage its Patient-Centered Outcomes Research Network (PCORnet) common data model (CDM) to accomplish this goal.

Public Health Relevance

The ongoing COVID-19 pandemic has taken a significant toll on the physical, mental, social, and economic well- being for the American people. The National Institutes of Health has launched the COVID Cohort Collaborative (N3C) to establish a centralized data repository of up-to-date and curated databases to store vast amounts of electronic medical records from people diagnosed with coronavirus. Penn State Clinical and Translational Science Institute is fully committed to contribute to N3C?s initiatives.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Linked Specialized Center Cooperative Agreement (UL1)
Project #
3UL1TR002014-04S2
Application #
10251488
Study Section
Program Officer
Rubio, Mercedes
Project Start
2020-09-02
Project End
2021-05-31
Budget Start
2021-01-26
Budget End
2021-05-31
Support Year
4
Fiscal Year
2021
Total Cost
Indirect Cost

  Institution

Name
Pennsylvania State University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
129348186
City
Hershey
State
PA
Country
United States
Zip Code
17033

  Publications

Li, Zheng; Chinchilli, Vernon M; Wang, Ming (2018) A Bayesian joint model of recurrent events and a terminal event. Biom J :
Keller, Kathleen L; English, Laural K; Fearnbach, S Nicole et al. (2018) Brain response to food cues varying in portion size is associated with individual differences in the portion size effect in children. Appetite 125:139-151
Sciamanna, Christopher; Ballentine, Noel H; Bopp, Melissa et al. (2018) Working to Increase Stability through Exercise (WISE): Study protocol for a pragmatic randomized controlled trial of a coached exercise program to reduce serious fall-related injuries. Contemp Clin Trials 74:1-10
Hobkirk, Andréa L; Nichols, Travis T; Foulds, Jonathan et al. (2018) Changes in resting state functional brain connectivity and withdrawal symptoms are associated with acute electronic cigarette use. Brain Res Bull 138:56-63
Tindall, Alyssa M; Petersen, Kristina S; Lamendella, Regina et al. (2018) Tree Nut Consumption and Adipose Tissue Mass: Mechanisms of Action. Curr Dev Nutr 2:nzy069
Rauff, Erica L; Downs, Danielle Symons (2018) A Prospective Examination of Physical Activity Predictors in Pregnant Women with Normal Weight and Overweight/Obesity. Womens Health Issues 28:502-508
Sinha, R; Sinha, I; Calcagnotto, A et al. (2018) Oral supplementation with liposomal glutathione elevates body stores of glutathione and markers of immune function. Eur J Clin Nutr 72:105-111
Gaines, Jordan; Vgontzas, Alexandros N; Fernandez-Mendoza, Julio et al. (2018) Obstructive sleep apnea and the metabolic syndrome: The road to clinically-meaningful phenotyping, improved prognosis, and personalized treatment. Sleep Med Rev 42:211-219
Zhang, Beibei; Xu, Jin; Quan, Zhe et al. (2018) Klotho Protein Protects Human Keratinocytes from UVB-Induced Damage Possibly by Reducing Expression and Nuclear Translocation of NF-?B. Med Sci Monit 24:8583-8591
Vasilevsky, Nicole A; Foster, Erin D; Engelstad, Mark E et al. (2018) Plain-language medical vocabulary for precision diagnosis. Nat Genet 50:474-476

Showing the most recent 10 out of 249 publications