Evidence map›Paper›PMID 34634348›Full record

ArticleThe Science of the total environment2022

Transmission risk of SARS-CoV-2 in the watershed triggered by domestic wastewater discharge.

Zhenyu Wang, Wenyu Yang, Pei Hua, Jin Zhang, Peter Krebs

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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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

5 authors at 3 institutions in 2 countries.

Zhenyu WangInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany.
Wenyu YangInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany.
Pei HuaSCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, China; School of Environment, South China Normal University, University Town, Guangzhou, China. Electronic address: pei.hua@m.scnu.edu.cn.
Jin ZhangDepartment of Ecology and Institute of Hydrobiology, Jinan University, 510632 Guangzhou, China.
Peter KrebsInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany.
TU Dresden · DEJinan University · CNSouth China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has already become an unprecedented global pandemic. However, the transmission of SARS-CoV-2, especially the protected SARS-CoV-2 RNA (pRNA) with infectious particles in waterways, is still largely unexplored. In this study, we developed a model to estimate SARS-CoV-2 transmission from the risk source in the excretion of patients to the final exposure in surface water. The model simulated the spatial and temporal distribution of the viral pRNA concentrations in the surface water of the Elbe watershed from March 2020 to January 2021. The results show that the WWTPs with the maximum capacity of >10,000 population equivalents were responsible for 95% of the viral load discharged into the surface water. We estimated the pRNA concentrations in surface water to be 1.33 × 10

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRNA, ViralWastewaterRNA, ViralWastewaterCOVID-19QMRASARS-CoV-2Virus transmissionWastewater

Identifiers

PMID34634348
PMCPMC8501193
OpenAlexW3207828800

What OpenQuestion holds

Textmetadata
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.