Assessing Normalization Methods in Wastewater Based Epidemiology: A Systematic Review

Abstract

Wastewater-based epidemiology (WBE) has emerged as a powerful tool for monitoring community level infectious disease trends. However, there is a lack of consistent normalization and control practices across studies that limits data interpretability and comparability. In this review, we analyzed 247 articles to assess current normalization approaches, focusing on the use of biomarkers and their associated normalization goals. We identified substantial variability in marker selection, application, and reporting, often without clear explanation. Endogenous markers such as pepper mild mottle virus (PMMoV) and CrAssphage were frequently used, primarily to adjust fecal strength, while exogenous controls such as bovine coronavirus (BCoV) and MS2 bacteriophage were commonly applied to evaluate sample recovery efficiency. However, there is no clear distinction between these functions in the literature. Additionally, normalization goals were often unspecified; when reported, they generally were for adjusting flow variability, correlating with clinical data, and accounting for population size. Mapping control types to normalization goals revealed a diverse range of applications but highlighted a lack of standardization. We emphasize the importance of standardized reporting guidelines, including clear documentation of normalization strategies and quality assurance measures, to improve reproducibility, facilitate meta-analyses, and strengthen the role of WBE in public health surveillance.

Supplementary files

Article information

Article type
Critical Review
Submitted
24 Oct 2025
Accepted
07 Apr 2026
First published
07 Apr 2026
This article is Open Access
Creative Commons BY-NC license

Environ. Sci.: Water Res. Technol., 2026, Accepted Manuscript

Assessing Normalization Methods in Wastewater Based Epidemiology: A Systematic Review

T. Ahmed, S. Philo, A. Boehm, R. Halden, K. Bibby and J. Delgado Vela, Environ. Sci.: Water Res. Technol., 2026, Accepted Manuscript , DOI: 10.1039/D5EW01049G

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements