dbGaP Study Accession: phs002604

NIH Institute/Center: NIDA

RADx Data Program: RADx-rad

DOI: 10.60773/tpfh-0630

Release Date: 11/07/2022

Updated Date: 12/09/2022

Study Description: Wastewater based testing (WBT) holds great promise for cost-effective population surveillance and transmission tracking of SARS-CoV-2 but optimal sampling modalities and protocols are unknown. Taking advantage of a diverse inner city urban campus encompassing undergraduate, postgraduate dorms, research buildings and medical facilities, this project included optimization of WBT surveillance strategies for waste streams at the building level, surrounding sewersheds, and wastewater treatment plants, as well as modeling of case counts using normalized WBT data. Metatranscriptomics approaches were applied to track circulating and emerging SARS-CoV-2 variants and to develop point-of-use microfluidics systems for timely WBT.

Principal Investigator: Uhlemann, Anne-Catrin

Has Data Files: Yes

Study Domain: Wastewater Surveillance; Variants

Data Collection Method: Unspecified COVID Testing Device; Wastewater Sampling

Keywords: Bioengineering; Case Counts; Infectious Diseases

Study Design: Longitudinal Cohort

Multi-Center Study: FALSE

Data Types: Metagenomic; Genomic

Study Start Date: 01/01/2021

Study End Date: 05/31/2023

Species: Non-Human Data

Estimated Cohort Size: 100

Study Population Focus: N/A

Publication URL: https://pubmed.ncbi.nlm.nih.gov/33655278/; https://pubmed.ncbi.nlm.nih.gov/34428777/; https://pubmed.ncbi.nlm.nih.gov/35582905/

Acknowledgement Statement: This study was supported through funding, 4U01DA053949-02, for the National Institute on Drug Abuse (NIDA) as part of the RADx-rad program. These data were collected by the Tracking the COVID-19 Epidemic in Sewage (TRACES) team at Columbia University. Clinical biospecimens utilized for this research were obtained from the Columbia University Biobank (CUB), supported by the Irving Institute for Clinical and Translational Research, home to Columbia University’s Clinical and Translational Science Award (CTSA). We also thank the New York City Department of Environmental Protection, in particular Samantha MacBride and Francoise Chauvin, for their support. Approved users should acknowledge the provision of data access by dbGaP for accession phs002604.v1.p1, and the NIH RADx Data Hub. Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from the NIH RADx Data Hub.

Funding Opportunity Announcement (FOA) Number: RFA-OD-20-015

NIH Grant or Contract Number(s): 4U01DA053949-02

Consent/Data Use Limitations: General Research Use