Dataset Information

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

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.

SUBMITTER: Hartanto BW

PROVIDER: S-EPMC7832927 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Hartanto Broto Widya BW Mayasari Dyah Samti DS

The Science of the total environment 20201209

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 ...[more]

PMID: 33338847

Similar Datasets

Project description:BackgroundUniversal face mask use was recommended owing to the growing pandemic of the coronavirus disease (COVID-19). However, little is known about the public's compliance with mask-wearing behaviours.ObjectiveTo evaluate the public's mask-wearing behaviours in the context of COVID-19.DesignCross-sectional study.SettingOnline survey from 6 April 2020 to 5 May 2020 in China.ParticipantsThis study included 10,165 persons who lived in China, understood Chinese, and were not health care providers.MethodsDescriptive statistics were used to assess the public's mask-wearing behaviours. A binary logistic regression analysis was performed to identify the risk factors affecting the mask-wearing behaviours.ResultsNearly all (99%) people wore a mask during the covid-19 pandemic, with most (73.3%) demonstrating good compliance with face mask use. However, 41.8% of the participants seldom cleaned their hands before putting on a face mask, and more than half (55.3%, 62.1%) of those who touched (n=8108, 79.8%) or adjusted (n=9356, 92.0%) their mask while using it failed to consistently wash their hands afterward. When removing a used mask, 7.6% of the participants discarded it into a garbage bin without a lid and 22.5% discarded it into a garbage bin in their reach regardless of presence of a lid. Participants reported wearing disposable medical masks (93.8%), followed by N95 respirators (26.2%), and cloth face masks (8.5%). Some participants wore multiple masks simultaneously (occasionally 26.5%, often 2.1%, always 1.5%). A total of 5,981 (58.8%) participants reported reusing disposable masks, with nearly two thirds (n=3923, 65.6%) indicating they would hang the used masks in well-ventilated places. More than one-third (37.6%) of the respondents did not replace mask when it had been used for more than 8 hours. Exposure to instructions on face mask use was the strongest predictor of good compliance (odds ratio=4.13, 95% confidential interval= 3.60-4.75, p=0.000). Other factors included specific situations, location, and gender. The influence of age needs further investigation. Most participants (76.4%) accessed information mainly via social media platforms.ConclusionsNearly all people wore face mask and most of them used it properly during the COVID-19 pandemic. Hand hygiene before and during mask-wearing, choosing an appropriate type of face mask, reusing disposal face mask, and disposing of used face masks should be particularly emphasized in future evidence dissemination or behaviour-change interventions. Information on social media platforms for evidence dissemination and behaviour change may benefit the public the most, but this initiative requires further research to investigate its effectiveness.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure