Faculty, Staff and Student Publications
Language
English
Publication Date
5-1-2026
Journal
International Journal of Hygiene and Environmental Health
DOI
10.1016/j.ijheh.2026.114790
PMID
41931975
PMCID
PMC13188176
PubMedCentral® Posted Date
5-21-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
Tracking the emergence of new viral variants is critical for epidemic preparedness, but remains challenging because variants typically circulate at low prevalence during the early phase of outbreaks. Here, we present an integrated framework that combines sensitive variant detection in wastewater with quantitative assessment of transmissibility through dynamic epidemic modeling. Using the SARS-CoV-2 Omicron variant as a proof of concept, we developed a novel nested allele-specific RT-qPCR assay (NAS-PCR) that achieved a thousand-fold increase in sensitivity compared with allele-specific RT-qPCR (limit of detection: 0.5 copies/μl). NAS-PCR detected Omicron in wastewater samples from the Greater Boston area starting in September 2021, more than two months before the first reported clinical case in the U.S. To assess transmissibility, we developed a Susceptible-Infected-Viral load model that estimated Omicron’s basic reproduction number (R0) of 2.36~3.09, with robust estimates across variations in susceptible population size and viral shedding rates. This generalizable framework integrates molecular diagnostics, wastewater surveillance, and mechanistic modeling to enable the detection of variants at low prevalence and quantitative assessment of their epidemic potential, thus broadening the wastewater-based surveillance toolkit for early epidemic detection and response.
Keywords
Wastewater, SARS-CoV-2, COVID-19, Humans, Boston, Wastewater surveillance, SARS-CoV-2 Omicron, Variant detection, Nested allele-specific PCR, Basic reproduction number, Epidemic modeling
Published Open-Access
yes
Recommended Citation
Chen, Xingwen; Phan, Tin; Lee, Wei Lin; et al., "An Integrated Framework for Early Detection and Transmissibility Assessment of Emerging Variants in Wastewater" (2026). Faculty, Staff and Student Publications. 1577.
https://digitalcommons.library.tmc.edu/uthsph_docs/1577
Graphical Abstract