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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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Detalles Bibliográficos
Autor principal: Bose, Soutrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2023
Materias:
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
Descripción
Sumario: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.