COVID-19 Supplement - Center for Innovative TRIals in ChilDrEN and AdulTs (TRIDENT)
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 3U24TR001608-05S2
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Key facts
Disease
COVID-19Start & end year
20162023Known Financial Commitments (USD)
$869,057Funder
National Institutes of Health (NIH)Principal Investigator
Daniel K BenjaminResearch Location
United States of AmericaLead Research Institution
Duke UniversityResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Immunity
Special Interest Tags
Data Management and Data SharingDigital Health
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Infants (1 month to 1 year)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
PROJECT SUMMARY/Abstract: The impact of the current COVID-19 global pandemic is likely underestimated. The specific impact on pregnantwomen, their infants and children is even less well characterized. We will use the infrastructure of the Duke /Vanderbilt Trial Innovation Center to address these knowledge gaps with three projects. We will use anexisting electronic data warehouse of clinical data from approximately 100,000 infants admitted to over 200neonatal intensive care units in the US to examine the epidemiology and outcomes through 12 months of agefor infants born to mothers during the current pandemic. Our collaborative research team, comprisingneonatologists and biostatisticians from the Duke Clinical Research Institute (DCRI) and the Pediatrix MedicalGroup, is uniquely positioned to complete this project. In addition, we will perform a direct-to-familyobservational study to evaluate the natural history of SARS-CoV-2 infection in children exposed to the viruspresumably via health care worker household contact. Up to 1000 children will be enrolled across the UnitedStates. We will identify households using existing registries/trials and will evaluate the rate of infection, viralshedding, and immune response of children exposed to SARS-CoV-2. Finally, to realize the full value of thedata collected as part of the multiple ongoing COVID-19 studies, data needs to be curated and harmonized.Here, data curation is defined as a metadata management activity that results in data with well-definedoutcomes and exposures. The majority of curation will occur at individual study level. After the data have beenharmonized, we will perform detailed quality checks. The resulting harmonized data will made availabel atdifferent timepoints to various audiences with the final result beign a publically available de-identitified dataset.As a result of this research, we will fill major knowledge gaps related to COVID-19 and improve public health.