ArticleNature communications2026
Real-time estimation of pathogen transmission dynamics from wastewater.
Article in Nature communications, 2026. 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Real-time estimation of pathogen transmission dynamics from wastewater.Nature communications · 2026Article
- Evaluation and estimation of epidemic trajectories for SARS-CoV-2 from clinical and wastewater data in Gauteng Province, South Africa.PLOS global public health · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Wastewater monitoring proved effective for tracking SARS-CoV-2 transmission during the COVID-19 pandemic. However, estimating transmission parameters for other pathogens remains difficult due to lower concentrations in sewage, uncertain shedding kinetics, and limited clinical validation data. Here we present EpiSewer, a Bayesian semi-mechanistic wastewater model that jointly accounts for infection dynamics, pathogen shedding, and measurement noise, including outliers and non-detects. This enables direct inference of the effective reproduction number (R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.