Evidence map›Paper›PMID 39475316›Full record

ArticlemSphere2024

Detection of

Alessandro Zulli, Elana M G Chan, Alexandria B Boehm

Abstract read
In one paragraph

Article in mSphere, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alessandro ZulliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0003-3636-0211
Elana M G ChanDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0002-8162-5090

Funding

Sergey Brin Family Foundation NA
6 · The paper itself

Abstract

Wastewater-based epidemiology, which seeks to assess disease occurrence in communities through measurements of infectious disease biomarkers in wastewater, may represent a valuable tool for understanding the occurrence of hepatitis A infections in communities. In this study, we measured concentrations of

Indexed as

Hepatitis AHepatitis A virusRNA, ViralWastewaterHumansSocioeconomic FactorsUnited StatesVulnerable PopulationsWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterepidemiologyhepatitis AHepatovirus Awasterwater-based epideimiologywastewater

Identifiers

PMID39475316
PMCPMC11580403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.