ArticleEnvironmental science & technology2025
Demographic-Driven Wastewater-Based Epidemiology: Refining Population Estimates for Enhanced Chemical Monitoring.
Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- High temporal resolution monitoring of illicit drug consumption across England via wastewater analysis.Addiction (Abingdon, England) · 2026Article
- Assessing long-term specific pollutant loads in municipal wastewater plants influent using monitoring data: A case study from Latvia.Journal of water and health · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wastewater-based epidemiology (WBE) is a vital tool for public health and environmental monitoring, yet accurate population estimation and demographic profiles within wastewater treatment plant (WWTP) catchments remain a challenge. This study integrates high-resolution 2021 UK Census data, NHS patient registration records, and WWTP chemical parameters to refine population estimates and assess demographic influences on wastewater composition. We compared four statistical models: Simple Approach (SA), Density-Adjusted Bootstrapping (BtD), Density-Adjusted Bootstrapping with Overlap (BtDO), and Bayesian Hierarchical Modeling (ByD), across four diverse UK catchments (12,000-960,000). The BtDO method provided the most consistent estimates, with relative uncertainties as low as 1.5% in larger catchments. Demographic analysis revealed that older populations and higher deprivations correlated with elevated pharmaceutical load (e.g., analgesics,
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Registered trials
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