Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness
- PMID: 40174494
- DOI: 10.1016/j.epidem.2025.100825
Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness
Abstract
Wastewater-based epidemiology is the detection of pathogens from sewage systems and the interpretation of these data to improve public health. Its use has increased in scope since 2020, when it was demonstrated that SARS-CoV-2 RNA could be successfully extracted from the wastewater of affected populations. In this Perspective we provide an overview of recent advances in pathogen detection within wastewater, propose a framework for identifying the utility of wastewater sampling for pathogen detection and suggest areas where analytics require development. Ensuring that both data collection and analysis are tailored towards key questions at different stages of an epidemic will improve the inference made. For analyses to be useful we require methods to determine the absence of infection, early detection of infection, reliably estimate epidemic trajectories and prevalence, and detect novel variants without reliance on consensus sequences. This research area has included many innovations that have improved the interpretation of collected data and we are optimistic that innovation will continue in the future.
Keywords: Disease freedom; Dynamics; Infectious disease; Infectious disease modelling; Wastewater Based Epidemiology.
Copyright © 2025. Published by Elsevier B.V.
Conflict of interest statement
Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Kathleen O’Reilly reports financial support was provided by Bill and Melinda Gates Foundation. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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