Evidence map›Paper›PMID 33338847›Full record

ArticleThe Science of the total environment2021

Environmentally friendly non-medical mask: An attempt to reduce the environmental impact from used masks during COVID 19 pandemic.

Broto Widya Hartanto, Dyah Samti Mayasari

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. Review
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  8. Decade-low aerosol levels over the Bohai and Yellow Seas amid the COVID-19 lockdown.International journal of applied earth observation and geoinformation : ITC journal · 2022
    Article
  9. Article
  10. Supercritical COThe Science of the total environment · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Municipal solid waste management during COVID-19 pandemic: effects and repercussions.Environmental science and pollution research international · 2021
    Review
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

2 authors.

Broto Widya HartantoFaculty of Industrial Engineering, Institut Teknologi Yogyakarta, 55198, DIY, Indonesia. Electronic address: broto@ity.ac.id.
Dyah Samti MayasariDepartement of Cardiology and Vascular Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, 55281, DIY, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During COVID-19 pandemic, wearing a mask has become a usual custom as a personal protection in every activity. The growth in consumption of face masks leads the increasing of mask waste and became a particular problem in environment. This study uses analytic hierarchy process (AHP) to determine appropriate material for making environmentally friendly non-medical mask. Filtration efficiency, breathability, and environmental impact index are defined as main criteria and carried out 26 alternative material from previous study. AHP presents a ranking of priority for all the alternative materials with Quilt and Cotton 600 TPI are the best values and fulfilled the material characteristics required by WHO. The sensitivity analysis generates some material with constant global priority results, such as Quilt, Cotton 600 TPI, Quilting cotton, Polycotton, and Polypropylene fabric 1. Quilting cotton with woven structure becomes the third ranking of alternative material, and Polypropylene fabric 1 is the worst material for making environmentally friendly non-medical mask.

Indexed as

COVID-19PandemicsEnvironmentHumansMasksSARS-CoV-2Analytic hierarchy processCloth materialCOVID-19Environmental impactNon-medical mask

Identifiers

PMID33338847
PMCPMC7832927

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.