Near-source wastewater surveillance as a non-invasive tool for disease detection in prisons
Article
O'Mara, O., Hassard, F., Jobling, K., Quintela-Baluja, M., McIntyre-Nolan, S., Lundy, L., Singer, A.C., Rahimzadeh, S., Stanton, I., Castro-Gutierrez, V., Charlotte-Smith, H., Vu, M., Pedley, R., Adamou, P., Graham, D.W. and Di Cesare, M. 2026. Near-source wastewater surveillance as a non-invasive tool for disease detection in prisons. Scientific Reports. https://doi.org/10.1038/s41598-026-35801-1
| Type | Article |
|---|---|
| Title | Near-source wastewater surveillance as a non-invasive tool for disease detection in prisons |
| Authors | O'Mara, O., Hassard, F., Jobling, K., Quintela-Baluja, M., McIntyre-Nolan, S., Lundy, L., Singer, A.C., Rahimzadeh, S., Stanton, I., Castro-Gutierrez, V., Charlotte-Smith, H., Vu, M., Pedley, R., Adamou, P., Graham, D.W. and Di Cesare, M. |
| Abstract | Near-source wastewater-based epidemiology (WBE) offers a non-intrusive alternative to clinical testing of whole prison populations. Prisons sit at the centre of high transmission risk but experience limited health-care access and barriers to testing individual prisoners. However, the use of WBE for health protection in prison settings has been limited. To assess its merit during the COVID-19 pandemic, SARS-CoV-2 RNA concentrations were quantified in 680 composite wastewater samples collected from 14 prisons across England and Wales between January and June 2021. Viral RNA was detected in 48% of samples, and wastewater viral loads were found to closely mirror clinical case numbers Lead–lag analysis with adjacent municipal wastewater samples indicated a bidirectional flow between the prisons and their local community: seven prisons exhibited wastewater peaks ahead of their communities, while six lagged, highlighting heterogeneous epidemiological coupling. Marked differences between prisons were apparent in both physicochemical wastewater traits and clinical testing uptake, indicating each institution constitutes a distinct surveillance unit. Collectively, findings here indicate near-source WBE as a rapid, unbiased and scalable tool for disease outbreak detection and for mapping disease flow between prisons and their surrounding communities, advocating its integration into routine health-security frameworks for custodial and other high-density settings. |
| Sustainable Development Goals | 6 Clean water and sanitation |
| 3 Good health and well-being | |
| Middlesex University Theme | Sustainability |
| Publisher | Nature Research |
| Journal | Scientific Reports |
| ISSN | |
| Electronic | 2045-2322 |
| Publication dates | |
| Online | 31 Jan 2026 |
| Publication process dates | |
| Submitted | 14 Jul 2025 |
| Accepted | 08 Jan 2026 |
| Deposited | 16 Feb 2026 |
| Output status | Published |
| Publisher's version | License File Access Level Open |
| Copyright Statement | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Digital Object Identifier (DOI) | https://doi.org/10.1038/s41598-026-35801-1 |
| PubMed ID | 41620491 |
https://repository.mdx.ac.uk/item/357x19
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