TY - JOUR
T1 - Influenza RNA fluxes monitoring in wastewater as a complementary epidemiological surveillance indicator
T2 - A four-year nationwide study in Luxembourg
AU - Chassaing, Manon
AU - Walczak, Cécile
AU - Sausy, Aurélie
AU - Le Coroller, Gwenaëlle
AU - Mossong, Joël
AU - Vergison, Anne
AU - Vujic, Amina
AU - Hübschen, Judith M
AU - Cauchie, Henry-Michel
AU - Snoeck, Chantal J
AU - Ogorzaly, Leslie
N1 - Funding:
This study was supported by the Luxembourg National Research Fund (FNR) under the VIRALERT project (C21/BM/15793340). In addition, the collection of the archived wastewater concentrates from the Luxembourg CORONASTEP surveillance program was initially supported by the Foundation Andr´e Losch and by the FNR under CORONASTEP+project COVID-19/2020-2/14806023.
Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.
PY - 2025/6/20
Y1 - 2025/6/20
N2 - Wastewater surveillance has demonstrated success in monitoring SARS-CoV-2 in communities, indicating potential for extension to other respiratory viruses. This study investigates influenza A and B viruses (IAV; IBV) in raw urban wastewater over a 4-year period, introducing two key concepts: the use of viral RNA fluxes instead of concentration measurements and the determination of epidemiological parameters directly from wastewater data. The estimation of daily fluxes, representing the number of viral genome copies per day per 100,000 inhabitants, offers an integrative approach that combines microbiological and hydrological measurements to better assess viral particle dynamics in a water system. A total of 1013 wastewater samples collected between March 2020 and March 2024 from Luxembourg's four largest wastewater treatment plants (covering about 52 % of the population) were analysed using RT-qPCR and RT-droplet digital PCR (RT-ddPCR), following concentration of viral particles by ultrafiltration. Data on the presence of IAV and IBV were expressed as either detection rates or fluxes. Significant correlations were observed between the number of laboratory-confirmed influenza cases and both wastewater detection rates (RT-qPCR: Spearman ρ = 0.52; RT-ddPCR: ρ = 0.61, p-value <10-13) and viral RNA fluxes (RT-ddPCR: ρ = 0.64, p-value <10-15). More importantly, our results demonstrated that critical influenza seasonality parameters (start, peak and end weeks of the epidemic) can be effectively determined from wastewater data. These findings establish wastewater surveillance as a cost-effective, non-invasive approach to support and complement existing influenza surveillance programs, with potential applications for other respiratory pathogens.
AB - Wastewater surveillance has demonstrated success in monitoring SARS-CoV-2 in communities, indicating potential for extension to other respiratory viruses. This study investigates influenza A and B viruses (IAV; IBV) in raw urban wastewater over a 4-year period, introducing two key concepts: the use of viral RNA fluxes instead of concentration measurements and the determination of epidemiological parameters directly from wastewater data. The estimation of daily fluxes, representing the number of viral genome copies per day per 100,000 inhabitants, offers an integrative approach that combines microbiological and hydrological measurements to better assess viral particle dynamics in a water system. A total of 1013 wastewater samples collected between March 2020 and March 2024 from Luxembourg's four largest wastewater treatment plants (covering about 52 % of the population) were analysed using RT-qPCR and RT-droplet digital PCR (RT-ddPCR), following concentration of viral particles by ultrafiltration. Data on the presence of IAV and IBV were expressed as either detection rates or fluxes. Significant correlations were observed between the number of laboratory-confirmed influenza cases and both wastewater detection rates (RT-qPCR: Spearman ρ = 0.52; RT-ddPCR: ρ = 0.61, p-value <10-13) and viral RNA fluxes (RT-ddPCR: ρ = 0.64, p-value <10-15). More importantly, our results demonstrated that critical influenza seasonality parameters (start, peak and end weeks of the epidemic) can be effectively determined from wastewater data. These findings establish wastewater surveillance as a cost-effective, non-invasive approach to support and complement existing influenza surveillance programs, with potential applications for other respiratory pathogens.
KW - Epidemic
KW - Wastewater surveillance
KW - influenza A virus
KW - influenza B virus
KW - RT-qPCR
KW - RT-ddPCR
KW - Luxembourg/epidemiology
KW - Environmental Monitoring/methods
KW - Wastewater/virology
KW - Humans
KW - Influenza, Human/epidemiology
KW - Wastewater-Based Epidemiological Monitoring
KW - Epidemiological Monitoring
KW - RNA, Viral/analysis
KW - Influenza A virus/isolation & purification
UR - https://pubmed.ncbi.nlm.nih.gov/40367853/
U2 - 10.1016/j.scitotenv.2025.179621
DO - 10.1016/j.scitotenv.2025.179621
M3 - Article
C2 - 40367853
SN - 0048-9697
VL - 982
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 179621
ER -