Detection and Tracking of SARS-CoV-2 Lineages through National Wastewater Surveillance System Pathogen Genomics
| Title: | Detection and Tracking of SARS-CoV-2 Lineages through National Wastewater Surveillance System Pathogen Genomics |
|---|---|
| Authors: | Dorian J. Feistel; Rory Welsh; Jeffrey Mercante; Miguella Mark-Carew; Jason Caravas; Arun Boddapati; Samantha Sevilla; Matthew H. Seabolt; Dhwani Batra; Suchitra Chavan; Shatavia Morrison; Jesse Yoder; Hannah Long; Satvik Mishra; Benjamin Lorentz; Andi Dhroso; Iryna V. Goraichuk; Seonghye Jeon; Daniel M. Cornforth |
| Source: | Emerging Infectious Diseases, Vol 31, Iss 13, Pp 57-60 (2025) |
| Publisher Information: | Centers for Disease Control and Prevention |
| Publication Year: | 2025 |
| Collection: | Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: | wastewater surveillance; computational biology; SARS-CoV-2; COVID-19; severe acute respiratory syndrome coronavirus 2; viruses; Medicine; Infectious and parasitic diseases; RC109-216 |
| Description: | We conducted retrospective analysis of the emergence of the SARS-CoV-2 JN.1 variant in US wastewater during November 2023–July 2024 using Aquascope, a bioinformatics pipeline for the National Wastewater Surveillance System. This study highlights the value of open-source bioinformatics tools in tracking pathogen variants for public health monitoring. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://wwwnc.cdc.gov/eid/article/31/13/24-1411_article; https://doaj.org/toc/1080-6040; https://doaj.org/toc/1080-6059; https://doaj.org/article/a4e1173c08484d60b6c4b7082e8c57dc |
| DOI: | 10.3201/eid3113.241411 |
| Availability: | https://doi.org/10.3201/eid3113.241411; https://doaj.org/article/a4e1173c08484d60b6c4b7082e8c57dc |
| Accession Number: | edsbas.3147F3EE |
| Database: | BASE |