Evidence map›Paper›PMID 34116332›Full record

ArticleEcotoxicology and environmental safety2021

Potential threat of SARS-CoV-2 in coastal waters.

Weijun Guo, Yimeng Cao, Xiangpeng Kong, Shujun Kong, Tiaojian Xu

Open access · goldAbstract read
In one paragraph

Article in Ecotoxicology and environmental safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Weijun GuoCollege of Environmental Sciences and Engineering, Dalian Maritime University, Dalian 116026, China.
Yimeng CaoCollege of Environmental Sciences and Engineering, Dalian Maritime University, Dalian 116026, China.
Xiangpeng KongCollege of Environmental Sciences and Engineering, Dalian Maritime University, Dalian 116026, China.
Shujun KongCollege of Environmental Sciences and Engineering, Dalian Maritime University, Dalian 116026, China.
Tiaojian XuThe State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China. Electronic address: tjxu@dlut.edu.cn.
Dalian Maritime University · CNDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus (SARS-CoV-2) has caused more than 150 million confirmed infections worldwide, while it is not clear whether it affects the coastal waters. This paper proposed a biophysical model based on 16 scenarios with different virus half-life parameters to assess potential viral contamination from 25 municipal sewage outfalls into the Bohai Sea. Viral concentration maps showing spatial and temporal changes are provided based on a biophysical model under multiple scenarios. Results demonstrate that adjacent sea areas can become exposed to SARS-CoV-2 via water-borne transport from outfalls, with a higher risk in winter, because SARS-CoV-2 can be highly stable at low temperature. As coastal waters are the ultimate sink for wastewater and the epidemic will last for long time, this work is of great importance to raise awareness, identify vulnerable areas for marine mammals, and avoid the risk of exposure of tourists at bathing beach.

Indexed as

SARS-CoV-2AnimalsCOVID-19HumansSeasonsSeawaterSewageSpatio-Temporal AnalysisTemperatureWastewaterSewageWastewaterBiophysical modelBohai seaSARS-CoV-2Spatial risk assessment

Identifiers

PMID34116332
PMCPMC8185187
OpenAlexW3172716690

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.