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ZENODO
Dataset . 2023
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2023
License: CC 0
Data sources: Datacite
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Data for: Design and testing of a sew-free origami mask for improvised respiratory protection

Authors: Realmuto, Jonathan; Smith, James;

Data for: Design and testing of a sew-free origami mask for improvised respiratory protection

Abstract

Respiratory aerosols with diameters smaller than 100 micrometers have been confirmed as important vectors for the spread of diseases such as SARS-CoV-2. While disposable and cloth masks afford some protection, they are typically inefficient at filtering these aerosols and require specialized fabrication devices to produce. We describe a fabrication technique that makes use of a folding procedure (origami) to transform any filtration material into a mask. These origami masks can be fabricated by non-experts at minimal cost and effort, provide adequate filtration efficiencies, and are easily scaled to different facial sizes. Using a mannequin fit test simulator, we demonstrate that these masks can provide optimal filtration efficiency and ease of breathing with minimal leakage. Because this mask provides greater comfort compared to commercial alternatives, it is likely to promote greater mask wearing tolerance and acceptance.

The attached video demonstrates the assembly and fitting of the origami face mask as described and tested in the referenced manuscript. Interested readers should refer to the manuscript for additional details. 

This video can be viewed with any mp4 viewer and is published under the CC0 license waiver.

Keywords

respiratory protection, face mask, COVID-19, FOS: Nano-technology

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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