ReviewEnvironmental technology & innovation2021
Review of the valorization options for the proper disposal of face masks during the COVID-19 pandemic.
Review in Environmental technology & innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 68 citations in OpenAlex.
- Article
- Property assessment of an eco-friendly mortar reinforced with recycled mask fiber derived from COVID-19 single-use face masks.Journal of building engineering · 2023Article
- Advanced and Smart Textiles during and after the COVID-19 Pandemic: Issues, Challenges, and Innovations.Healthcare (Basel, Switzerland) · 2023Review
- Resource recovery from discarded COVID-19 PPE kit through catalytic fast pyrolysis.Journal of analytical and applied pyrolysis · 2023Article
- Article
- Article
- The face behind the Covid-19 mask - A comprehensive review.Environmental technology & innovation · 2022Review
- Effects of Discarded Masks on the Offshore Microorganisms during the COVID-19 Pandemic.Toxics · 2022Article
- Alternating magnetic field initiated catalytic deconstruction of medical waste to produce hydrogen-rich gases and graphite.Cell reports. Physical science · 2022Article
- Article
- New novel thermal insulation and sound-absorbing materials from discarded facemasks of COVID-19 pandemic.Scientific reports · 2021Article
- The shadow pandemic of single use personal protective equipment plastic waste: A blue print for suppression and eradication.Case studies in chemical and environmental engineering · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has affected not only human health and economies but also the environment due to the large volume of waste in the form of discarded personal protective equipment. The remarkable increase in the global usage of face masks, which mainly contain polypropylene, and improper waste management have led to a serious environmental challenge called microplastic pollution. Potential practices for waste management related to waste valorization of discarded face masks as the major type of waste during the COVID-19 pandemic are explored in this study. Recommendations based on governmental practices, situation of state facilities, and societal awareness and engagement applicable to emergency (including COVID-19 pandemic) and postpandemic scenarios are offered while considering potential solutions and available waste management practices in different countries during emergency conditions. However, multicriteria decision making for a country must determine the optimal solution for waste management on the basis of all affecting factors. Awareness of scientific, governments, and communities worldwide will successfully eradicate this important environmental issue.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.