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Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System
The new coronavirus infection (COVID-19) has spread to numerous countries around the world since several cases of the disease were first reported in late December 2019 in China. Currently, the WHO strongly recommends infection prevention measures such as wearing masks, hand washing, and frequent dis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ohmsha
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444173/ https://www.ncbi.nlm.nih.gov/pubmed/34545264 http://dx.doi.org/10.1007/s00354-021-00137-z |
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author | Higuchi, Sho Taniguchi, Shunichi Kawasaki, Yuta Sonoda, Atom |
author_facet | Higuchi, Sho Taniguchi, Shunichi Kawasaki, Yuta Sonoda, Atom |
author_sort | Higuchi, Sho |
collection | PubMed |
description | The new coronavirus infection (COVID-19) has spread to numerous countries around the world since several cases of the disease were first reported in late December 2019 in China. Currently, the WHO strongly recommends infection prevention measures such as wearing masks, hand washing, and frequent disinfection of high-touch surfaces, but there were many arguments against infection prevention policy in March 2020. For example, the WHO did not recommend the use of masks for the healthy general public. In Japan, wearing a mask was required before the habit of wearing a mask was established, which gave additional works of checking whether customer was wearing a mask to the employees. To reduce the workloads of employee and ensure mask-wearing, we started providing the mask-wearing system free of charge on March 5, 2020. We also developed hand washing time estimation and disinfection support system. It is useful to accumulate data on the status of implementation of countermeasures by our application, which leads to gain useful knowledge regarding countermeasures against COVID-19 as well as other infectious diseases. In this paper, we describe the development and introduction impacts of these systems in a pandemic emergencies. In addition, because of the security and privacy issues in running these image analysis applications, we discuss the delivery methods suitable for each service. |
format | Online Article Text |
id | pubmed-8444173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ohmsha |
record_format | MEDLINE/PubMed |
spelling | pubmed-84441732021-09-16 Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System Higuchi, Sho Taniguchi, Shunichi Kawasaki, Yuta Sonoda, Atom New Gener Comput Article The new coronavirus infection (COVID-19) has spread to numerous countries around the world since several cases of the disease were first reported in late December 2019 in China. Currently, the WHO strongly recommends infection prevention measures such as wearing masks, hand washing, and frequent disinfection of high-touch surfaces, but there were many arguments against infection prevention policy in March 2020. For example, the WHO did not recommend the use of masks for the healthy general public. In Japan, wearing a mask was required before the habit of wearing a mask was established, which gave additional works of checking whether customer was wearing a mask to the employees. To reduce the workloads of employee and ensure mask-wearing, we started providing the mask-wearing system free of charge on March 5, 2020. We also developed hand washing time estimation and disinfection support system. It is useful to accumulate data on the status of implementation of countermeasures by our application, which leads to gain useful knowledge regarding countermeasures against COVID-19 as well as other infectious diseases. In this paper, we describe the development and introduction impacts of these systems in a pandemic emergencies. In addition, because of the security and privacy issues in running these image analysis applications, we discuss the delivery methods suitable for each service. Ohmsha 2021-09-16 2021 /pmc/articles/PMC8444173/ /pubmed/34545264 http://dx.doi.org/10.1007/s00354-021-00137-z Text en © Ohmsha, Ltd. and Springer Japan KK, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Higuchi, Sho Taniguchi, Shunichi Kawasaki, Yuta Sonoda, Atom Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title | Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title_full | Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title_fullStr | Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title_full_unstemmed | Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title_short | Image Processing for the Prevention of Infectious Diseases: Determination of Mask Wearing, Measurement of Hand Washing Time, and Disinfection Support System |
title_sort | image processing for the prevention of infectious diseases: determination of mask wearing, measurement of hand washing time, and disinfection support system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444173/ https://www.ncbi.nlm.nih.gov/pubmed/34545264 http://dx.doi.org/10.1007/s00354-021-00137-z |
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