Improved scalability, sensitivity, and interpretability of pathogen detection, including SARS-CoV-2, in wastewater using high-throughput, highly multiplexed digital array PCR technology
- Funded by National Institutes of Health (NIH)
- Total publications:1 publications
Grant number: 1U01DA053899-01
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Key facts
Disease
COVID-19Start & end year
20212022Known Financial Commitments (USD)
$997,507Funder
National Institutes of Health (NIH)Principal Investigator
John Michael RamseyResearch Location
United States of AmericaLead Research Institution
University of North Carolina at Chapel HillResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Diagnostics
Special Interest Tags
Innovation
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
PROJECT ABSTRACTPresently, the application of molecular technology such as RT-qPCR and digital PCR (dPCR) to quantifySARS-CoV-2 and related targets in wastewater is cumbersome, time consuming, and costly. Whileprogress has been made on the development of methods and the interpretation of data, much remains tobe improved for the technology to be used as a public health management tool. A major drawback in thecurrent approaches are 1) the lack of streamlined and consistent pre-analytical processing steps, 2)coverage across the relevant targets requires a high number of reactions (>20) from any single sample toprovide quantitative information, and 3) a lack of vision on the development of a pathogen/marker panel,much like those used in clinical arenas, for interpretation of the data across different states, regions andnations. The goal of this project will be to successfully navigate these three limitations towarddevelopment of a public health warning system that is not dependent on clinical testing and has the abilityto rapidly address novel pathogen threats in the future.
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