Wastewater-Based Genomic Surveillance of SARS-CoV-2 Antiviral Resistance Determinants in Ontario: Towards a Scalable Framework for Population-Level Antiviral Resistance Monitoring.

doi:10.3390/v18080923

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Wastewater-Based Genomic Surveillance of SARS-CoV-2 Antiviral Resistance Determinants in Ontario: Towards a Scalable Framework for Population-Level Antiviral Resistance Monitoring.

Viruses - 21 Aug 2026

Lawal Opeyemi U, Parreira Valeria R, Overton Alyssa K, Knapp Jennifer J, Gibson Richard, Arts Eric J, Zhang Linkang, Rizvi Fozia, Precious Melinda, Charles Trevor C, Goodridge Lawrence

Abstract excerpt

BACKGROUND: Wastewater surveillance has emerged as an effective tool for population-level pathogen monitoring. Its application to mutations associated with resistance to antivirals remains comparatively underdeveloped. We assessed the wastewater epidemiology framework using SARS-CoV-2 as a model pathogen to evaluate spatial, temporal, and therapeutic class-specific resistance dynamics. METHODS: We analyzed about...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antiviral Agents
Share to COVID-19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Resistance, Viral

Share to Genome, Viral

Source

Open in PubMed Open full text

Identifiers

PMID: 42655739
DOI: 10.3390/v18080923
PMCID: PMC13517777

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.