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Novel Statistical Investigation for COVID-19 Community Response
A novel coronavirus (COVID-19) that highly affected the mortality rate on the global health crisis emerged to be a pandemic from November 19. COVID-19 is known as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was initially originated from bats and was transmitted to human...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer India
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883124/ https://www.ncbi.nlm.nih.gov/pubmed/36744047 http://dx.doi.org/10.1007/s40009-023-01214-1 |
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author | Bose, Soutrik |
author_facet | Bose, Soutrik |
author_sort | Bose, Soutrik |
collection | PubMed |
description | A novel coronavirus (COVID-19) that highly affected the mortality rate on the global health crisis emerged to be a pandemic from November 19. COVID-19 is known as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was initially originated from bats and was transmitted to humans through unknown intermediary animals. The disease is transmitted by inhalation or contact with infected droplets, and the incubation period ranges till fourteen days. This paper presents a statistical investigation based on grey relational analysis on the four response criteria like confirmed cases, active cases, recovered cases and death cases from pre-lock down, lock down and unlock for different countries and all the states of India. Optimized results and ranking is calculated on the overall responses, and best selection is obtained. |
format | Online Article Text |
id | pubmed-9883124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-98831242023-01-30 Novel Statistical Investigation for COVID-19 Community Response Bose, Soutrik Natl Acad Sci Lett News/Views and Comments A novel coronavirus (COVID-19) that highly affected the mortality rate on the global health crisis emerged to be a pandemic from November 19. COVID-19 is known as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was initially originated from bats and was transmitted to humans through unknown intermediary animals. The disease is transmitted by inhalation or contact with infected droplets, and the incubation period ranges till fourteen days. This paper presents a statistical investigation based on grey relational analysis on the four response criteria like confirmed cases, active cases, recovered cases and death cases from pre-lock down, lock down and unlock for different countries and all the states of India. Optimized results and ranking is calculated on the overall responses, and best selection is obtained. Springer India 2023-01-28 2023 /pmc/articles/PMC9883124/ /pubmed/36744047 http://dx.doi.org/10.1007/s40009-023-01214-1 Text en © The Author(s), under exclusive licence to The National Academy of Sciences, India 2023 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 | News/Views and Comments Bose, Soutrik Novel Statistical Investigation for COVID-19 Community Response |
title | Novel Statistical Investigation for COVID-19 Community Response |
title_full | Novel Statistical Investigation for COVID-19 Community Response |
title_fullStr | Novel Statistical Investigation for COVID-19 Community Response |
title_full_unstemmed | Novel Statistical Investigation for COVID-19 Community Response |
title_short | Novel Statistical Investigation for COVID-19 Community Response |
title_sort | novel statistical investigation for covid-19 community response |
topic | News/Views and Comments |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883124/ https://www.ncbi.nlm.nih.gov/pubmed/36744047 http://dx.doi.org/10.1007/s40009-023-01214-1 |
work_keys_str_mv | AT bosesoutrik novelstatisticalinvestigationforcovid19communityresponse |