mSystems
(Aug 2021)
Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus
Smruthi Karthikeyan,
Andrew Nguyen,
Daniel McDonald,
Yijian Zong,
Nancy Ronquillo,
Junting Ren,
Jingjing Zou,
Sawyer Farmer,
Greg Humphrey,
Diana Henderson,
Tara Javidi,
Karen Messer,
Cheryl Anderson,
Robert Schooley,
Natasha K. Martin,
Rob Knight
Affiliations
Smruthi Karthikeyan
ORCiD Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, USA
Andrew Nguyen
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
Daniel McDonald
Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, USA
Yijian Zong
Halicioglu Data Science Institute, University of California, San Diego, La Jolla, California, USA
Nancy Ronquillo
Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, California, USA
Junting Ren
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
Jingjing Zou
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
Sawyer Farmer
Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, USA
Greg Humphrey
Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, USA
Diana Henderson
Campus Planning, University of California, San Diego, La Jolla, California, USA
Tara Javidi
Halicioglu Data Science Institute, University of California, San Diego, La Jolla, California, USA
Karen Messer
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
Cheryl Anderson
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
Robert Schooley
Division of Infectious Diseases and Global Public Health, School of Medicine, University of California, San Diego, La Jolla, California, USA
Natasha K. Martin
Division of Infectious Diseases and Global Public Health, School of Medicine, University of California, San Diego, La Jolla, California, USA
Rob Knight
ORCiD Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, USA
DOI
https://doi.org/10.1128/mSystems.00793-21
Journal volume & issue
Vol. 6,
no. 4
Abstract
Read online
Wastewater-based epidemiology can be particularly valuable at university campuses where high-resolution spatial sampling in a well-controlled context could not only provide insight into what affects campus community as well as how those inferences can be extended to a broader city/county context. In the present study, a large-scale wastewater surveillance was successfully implemented on a large university campus enabling early detection of 85% of COVID-19 cases thereby averting potential outbreaks.
WeChat QR code
Close
