Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning

Abstract The recent outbreak of the COVID-19 led to death of millions of people worldwide. To stave off the spread of the virus, the authorities in the US employed different strategies, including the mask mandate order issued by the states’ governors. In the current work, we defined a parameter call...

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Autores principales:	Ali Lafzi, Miad Boodaghi, Siavash Zamani, Niyousha Mohammadshafie, Veeraraghava Raju Hasti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f2d796bd56d447988d5b7075bd11102b
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spelling	oai:doaj.org-article:f2d796bd56d447988d5b7075bd11102b2021-11-08T10:49:07ZAnalysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning10.1038/s41598-021-01005-y2045-2322https://doaj.org/article/f2d796bd56d447988d5b7075bd11102b2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01005-yhttps://doaj.org/toc/2045-2322Abstract The recent outbreak of the COVID-19 led to death of millions of people worldwide. To stave off the spread of the virus, the authorities in the US employed different strategies, including the mask mandate order issued by the states’ governors. In the current work, we defined a parameter called average death ratio as the monthly average of the number of daily deaths to the monthly average number of daily cases. We utilized survey data to quantify people’s abidance by the mask mandate order. Additionally, we implicitly addressed the extent to which people abide by the mask mandate order, which may depend on some parameters such as population, income, and education level. Using different machine learning classification algorithms, we investigated how the decrease or increase in death ratio for the counties in the US West Coast correlates with the input parameters. The results showed that for the majority of counties, the mask mandate order decreased the death ratio, reflecting the effectiveness of such a preventive measure on the West Coast. Additionally, the changes in the death ratio demonstrated a noticeable correlation with the socio-economic condition of each county. Moreover, the results showed a promising classification accuracy score as high as 90%.Ali LafziMiad BoodaghiSiavash ZamaniNiyousha MohammadshafieVeeraraghava Raju HastiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ali Lafzi Miad Boodaghi Siavash Zamani Niyousha Mohammadshafie Veeraraghava Raju Hasti Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
description	Abstract The recent outbreak of the COVID-19 led to death of millions of people worldwide. To stave off the spread of the virus, the authorities in the US employed different strategies, including the mask mandate order issued by the states’ governors. In the current work, we defined a parameter called average death ratio as the monthly average of the number of daily deaths to the monthly average number of daily cases. We utilized survey data to quantify people’s abidance by the mask mandate order. Additionally, we implicitly addressed the extent to which people abide by the mask mandate order, which may depend on some parameters such as population, income, and education level. Using different machine learning classification algorithms, we investigated how the decrease or increase in death ratio for the counties in the US West Coast correlates with the input parameters. The results showed that for the majority of counties, the mask mandate order decreased the death ratio, reflecting the effectiveness of such a preventive measure on the West Coast. Additionally, the changes in the death ratio demonstrated a noticeable correlation with the socio-economic condition of each county. Moreover, the results showed a promising classification accuracy score as high as 90%.
format	article
author	Ali Lafzi Miad Boodaghi Siavash Zamani Niyousha Mohammadshafie Veeraraghava Raju Hasti
author_facet	Ali Lafzi Miad Boodaghi Siavash Zamani Niyousha Mohammadshafie Veeraraghava Raju Hasti
author_sort	Ali Lafzi
title	Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
title_short	Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
title_full	Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
title_fullStr	Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
title_full_unstemmed	Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning
title_sort	analysis of the effectiveness of face-coverings on the death ratio of covid-19 using machine learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f2d796bd56d447988d5b7075bd11102b
work_keys_str_mv	AT alilafzi analysisoftheeffectivenessoffacecoveringsonthedeathratioofcovid19usingmachinelearning AT miadboodaghi analysisoftheeffectivenessoffacecoveringsonthedeathratioofcovid19usingmachinelearning AT siavashzamani analysisoftheeffectivenessoffacecoveringsonthedeathratioofcovid19usingmachinelearning AT niyoushamohammadshafie analysisoftheeffectivenessoffacecoveringsonthedeathratioofcovid19usingmachinelearning AT veeraraghavarajuhasti analysisoftheeffectivenessoffacecoveringsonthedeathratioofcovid19usingmachinelearning
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Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning

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