Wastewater surveillance of SARS-CoV-2 from aircraft to citywide monitoring
Wastewater monitoring is highly efficient in SARS-CoV-2 surveillance for tracking virus spread through travel, surpassing traditional airport passenger testing. This study explored the links between SARS-CoV-2 contents and variants from aircraft to city, assessing the impact of detected variants from international travellers versus the local population. A total of 969 variants using next-generation sequencing (NGS) were examined to understand the links between-aircraft, Arlanda airport, wastewater treatment plants (WWTPs), and Stockholm city-and compared these to variants detected in Stockholm hospitals from January to May 2023. SARS-CoV-2 contents in WWTPs reflected local infection rates, requiring analysis from multiple plants for an accurate city-wide infection assessment. Variants initially detected in aircraft arriving from China did not spread widely during the study period. RT-qPCR is adequate for the detection of specific variants in wastewater, including Variants Under Monitoring. However, NGS remains a powerful method for identifying novel variants. Wastewater monitoring was more effective than clinical testing in the early detection of specific variants, with notable delays observed in clinical surveillance. Furthermore, a broad range of variants are detected in wastewater that surpasses clinical tests. This underscores the vital role of wastewater-based epidemiology in managing future outbreaks and enhancing global health security.
Authors
- Luisa W. Hugerth (ORCID: https://orcid.org/0000-0001-5432-1764)
- Mariel Pérez-Zabaleta (ORCID: https://orcid.org/0000-0003-3873-4977)
- Zeynep Çetecioğlu (ORCID: https://orcid.org/0000-0002-8170-379X)
- Carlo Berg (ORCID: https://orcid.org/0000-0001-7815-1077)
- Isaac Owusu-Agyeman
- Neus Latorre‐Margalef (ORCID: https://orcid.org/0000-0001-9616-2693)
- Caroline Schönning
- Ayda Kiyar
- Helene Botnen
Institutions
- Public Health Agency of Sweden (SE)
- Science for Life Laboratory (SE)
- KTH Royal Institute of Technology (SE)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1038/s41467-025-60490-1
- Citations
- 10
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 13.96
Funders
- Public Health Agency
- Kungliga Tekniska Högskolan
- Science for Life Laboratory
- Folkhälsomyndigheten