Evaluating Interlaboratory Variability in Wastewater-Based COVID-19 Surveillance

Evaluating Interlaboratory Variability in Wastewater-Based COVID-19 Surveillance

Wastewater-based environmental surveillance enables the monitoring of SARS-CoV-2 dynamics within populations, offering critical epidemiological insights. Numerous workflows for tracking SARS-CoV-2 have been developed globally, underscoring the need for interlaboratory comparisons to ensure data cons...

Full description

Saved in:
Bibliographic Details
Main Authors: Arianna Azzellino, Laura Pellegrinelli, Ramon Pedrini, Andrea Turolla, Barbara Bertasi, Sandro Binda, Sara Castiglioni, Clementina E. Cocuzza, Fabio Ferrari, Andrea Franzetti, Maria Giovanna Guiso, Marina Nadia Losio, Marianna Martinelli, Antonino Martines, Rosario Musumeci, Desdemona Oliva, Laura Sandri, Valeria Primache, Francesco Righi, Annalisa Scarazzato, Silvia Schiarea, Elena Pariani, Emanuela Ammoni, Danilo Cereda, Francesca Malpei
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Microorganisms
Subjects:
wastewater environmental surveillance
SARS-CoV2
interlaboratory ring test
detection methods
generalized linear models
Online Access:https://www.mdpi.com/2076-2607/13/3/526
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-2607/13/3/526

Similar Items