Evidence map›Paper›PMID 34627882›Full record

ArticleThe Science of the total environment2022

No widespread signature of the COVID-19 quarantine period on water quality across a spectrum of coastal systems in the United States of America.

Michael S Wetz, Nicole C Powers, Jeffrey W Turner, Yuxia Huang

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

4 authors.

Michael S WetzDepartment of Life Sciences, Texas A&M University-Corpus Christi, TX 78412, USA; Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi, TX 78412, USA. Electronic address: michael.wetz@tamucc.edu.
Nicole C PowersDepartment of Life Sciences, Texas A&M University-Corpus Christi, TX 78412, USA.
Jeffrey W TurnerDepartment of Life Sciences, Texas A&M University-Corpus Christi, TX 78412, USA.
Yuxia HuangSchool of Engineering and Computing Sciences, Texas A&M University-Corpus Christi, TX 78412, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the recent COVID-19 related quarantine period, anecdotal evidence emerged pointing to a rapid, sharp improvement in water quality in some localities. Here we present results from an analysis of the impacts of the COVID-19 quarantine period using two long-term coastal water quality datasets. These datasets rely on sampling that operates at appropriate timescales to quantify the influence of reduced human activity on coastal water quality and span coastal ecosystems ranging from low human influence to highly urbanized systems. We tested two hypotheses: 1) reduced tourism during the COVID-19 quarantine period would lead to improved coastal water quality, and 2) water quality improvements would scale to the level of human influence, meaning that highly urbanized or tourist-centric watersheds would see greater improvement than more rural watersheds. A localized reduction in fecal indicator bacteria was observed in four highly impacted regions of the Texas (USA) coast, but this pattern was not widespread. In less impacted regions, the signature of natural, decadal environmental variability (e.g., dissolved oxygen and turbidity) overwhelmed any potential signature of reduced human activity. Results from this study add to the growing body of literature on the environmental impacts of the COVID-19 quarantine period, and when considered with existing literature, emphasize that coastal water quality improvements appear to be ephemeral and reserved for the most severely affected (by human activity) systems. Furthermore, results show the importance of assessing COVID-19 signatures against long-term, decadal datasets that adequately reveal a system's natural variation.

Indexed as

COVID-19QuarantineWater QualityEcosystemHumansTexasBacteriaCoastalCOVID-19Dissolved oxygenTurbidityWater quality

Identifiers

PMID34627882
PMCPMC9751947

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Registered trials

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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.