SynthesisEBioMedicine2025
Systematic review and meta-analysis of enteric virus shedding in human excretions.
Synthesis in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A Systematic Review of Gastrointestinal and Respiratory Pathogen Detection in Wastewater in Africa, with Focus on Rwanda: Implications for Early Warning and Public Health Surveillance.Pathogens (Basel, Switzerland) · 2026Pooled it
- Wastewater surveillance of rotavirus, norovirus, and hepatitis a virus in the Middle East and North Africa Region: a systematic review.BMC public health · 2025Pooled it
- Systematic review and meta-analysis of enteric virus shedding in human excretions.EBioMedicine · 2025Pooled it
- Wastewater-Based Epidemiology for Infectious Diseases: A New Trick for an Old Threat.Environment & health (Washington, D.C.) · 2026Review
- Article
- Wastewater-based surveillance and early warning-forecasting framework for norovirus: a two-year longitudinal study in Shenzhen, China.Frontiers in microbiology · 2026Article
- Improving syndromic testing in oncology: performance characteristics of multiplex PCR assays for evaluation of infectious gastroenteritis among hospitalized cancer patients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Importance of a heat snap in RT-PCR quantification of rotavirus double-stranded RNA in wastewater.Environmental science : water research & technology · 2025Article
- Wastewater concentrations of rotavirus RNA are associated with infection and vaccination metrics in the USA.Npj viruses · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWastewater-based epidemiology can inform the understanding of infectious disease occurrence in communities. Quantitative information on shedding of pathogen biomarkers in excretions that enter wastewater is needed to link measurements of pathogen biomarkers to rates of disease occurrence.
methodsWe compile, summarise, and compare data on shedding of human norovirus, rotavirus, hepatitis A virus, and adenovirus group F in stool, vomit, urine, saliva, mucus, and sputum using a systematic review and meta-analysis approach.
findingsWe provide summaries of measured concentrations of the viruses across excretions where data exist. We provide longitudinal shedding profiles in terms of concentrations and positivity rates. Duration of shedding and day of peak shedding are also provided.
interpretationThere are limited data available for excretions other than stool, and limited data available for adenovirus group F. The aggregated data provided herein can serve as model inputs to translate wastewater enteric virus biomarker concentrations to disease occurrence rates. The study highlights data gaps and research needs.
fundingThis study was funded by a gift from the Sergey Brin Family Foundation to ABB.
Indexed as
Identifiers
What OpenQuestion holds
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.