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Big data analytics for mask prominence in COVID pandemic
Corona Virus is spreading at an alarming rate in community causing respiratory diseases like SARS and MERS, which has laid down Government agencies and healthcare organizations to adopt and recommend various strategies in order to cease the spread of corona virus. Till the dawn of Vaccine, only avai...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677463/ https://www.ncbi.nlm.nih.gov/pubmed/34934637 http://dx.doi.org/10.1016/j.matpr.2021.11.620 |
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author | Shinde, Priyanka P. Desai, Varsha P. Katkar, Smita V. Oza, Kavita S. Kamat, R.K. Thakar, Chetan M. |
author_facet | Shinde, Priyanka P. Desai, Varsha P. Katkar, Smita V. Oza, Kavita S. Kamat, R.K. Thakar, Chetan M. |
author_sort | Shinde, Priyanka P. |
collection | PubMed |
description | Corona Virus is spreading at an alarming rate in community causing respiratory diseases like SARS and MERS, which has laid down Government agencies and healthcare organizations to adopt and recommend various strategies in order to cease the spread of corona virus. Till the dawn of Vaccine, only available cost-effective preventive aid is the use of face mask. Since the outbreak of covid-19, demand for the face mask has been increased tremendously which has led to the shortage of face mask. Various masks are available in the market, but reuse and decontamination of reusable face mask has become the topic of concern. Commonly available masks in market are N-95, Medical/Surgical Mask and cloth masks. N-95 and Respirators should be reserved for frontline primary Healthcare professionals which are involved in High-risk aerosol generating procedures, while Surgical and medical mask should be used by secondary healthcare professionals and cloth masks by General public. |
format | Online Article Text |
id | pubmed-8677463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86774632021-12-17 Big data analytics for mask prominence in COVID pandemic Shinde, Priyanka P. Desai, Varsha P. Katkar, Smita V. Oza, Kavita S. Kamat, R.K. Thakar, Chetan M. Mater Today Proc Article Corona Virus is spreading at an alarming rate in community causing respiratory diseases like SARS and MERS, which has laid down Government agencies and healthcare organizations to adopt and recommend various strategies in order to cease the spread of corona virus. Till the dawn of Vaccine, only available cost-effective preventive aid is the use of face mask. Since the outbreak of covid-19, demand for the face mask has been increased tremendously which has led to the shortage of face mask. Various masks are available in the market, but reuse and decontamination of reusable face mask has become the topic of concern. Commonly available masks in market are N-95, Medical/Surgical Mask and cloth masks. N-95 and Respirators should be reserved for frontline primary Healthcare professionals which are involved in High-risk aerosol generating procedures, while Surgical and medical mask should be used by secondary healthcare professionals and cloth masks by General public. Elsevier Ltd. 2022 2021-12-17 /pmc/articles/PMC8677463/ /pubmed/34934637 http://dx.doi.org/10.1016/j.matpr.2021.11.620 Text en Copyright © 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Science. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shinde, Priyanka P. Desai, Varsha P. Katkar, Smita V. Oza, Kavita S. Kamat, R.K. Thakar, Chetan M. Big data analytics for mask prominence in COVID pandemic |
title | Big data analytics for mask prominence in COVID pandemic |
title_full | Big data analytics for mask prominence in COVID pandemic |
title_fullStr | Big data analytics for mask prominence in COVID pandemic |
title_full_unstemmed | Big data analytics for mask prominence in COVID pandemic |
title_short | Big data analytics for mask prominence in COVID pandemic |
title_sort | big data analytics for mask prominence in covid pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677463/ https://www.ncbi.nlm.nih.gov/pubmed/34934637 http://dx.doi.org/10.1016/j.matpr.2021.11.620 |
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