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Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling

In the current scenario, the outbreak of a pandemic disease COVID-19 is of great interest. A broad statistical analysis of this event is still to come, but it is immediately needed to evaluate the disease dynamics in order to arrange the appropriate quarantine activities, to estimate the required nu...

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Detalles Bibliográficos
Autores principales: Zuo, Min, Khosa, Saima K., Ahmad, Zubair, Almaspoor, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322603/
https://www.ncbi.nlm.nih.gov/pubmed/32670391
http://dx.doi.org/10.1155/2020/4296806
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author Zuo, Min
Khosa, Saima K.
Ahmad, Zubair
Almaspoor, Zahra
author_facet Zuo, Min
Khosa, Saima K.
Ahmad, Zubair
Almaspoor, Zahra
author_sort Zuo, Min
collection PubMed
description In the current scenario, the outbreak of a pandemic disease COVID-19 is of great interest. A broad statistical analysis of this event is still to come, but it is immediately needed to evaluate the disease dynamics in order to arrange the appropriate quarantine activities, to estimate the required number of places in hospitals, the level of individual protection, the rate of isolation of infected persons, and among others. In this article, we provide a convenient method of data comparison that can be helpful for both the governmental and private organizations. Up to date, facts and figures of the total the confirmed cases, daily confirmed cases, total deaths, and daily deaths that have been reported in the Asian countries are provided. Furthermore, a statistical model is suggested to provide a best description of the COVID-19 total death data in the Asian countries.
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spelling pubmed-73226032020-07-14 Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling Zuo, Min Khosa, Saima K. Ahmad, Zubair Almaspoor, Zahra Comput Math Methods Med Research Article In the current scenario, the outbreak of a pandemic disease COVID-19 is of great interest. A broad statistical analysis of this event is still to come, but it is immediately needed to evaluate the disease dynamics in order to arrange the appropriate quarantine activities, to estimate the required number of places in hospitals, the level of individual protection, the rate of isolation of infected persons, and among others. In this article, we provide a convenient method of data comparison that can be helpful for both the governmental and private organizations. Up to date, facts and figures of the total the confirmed cases, daily confirmed cases, total deaths, and daily deaths that have been reported in the Asian countries are provided. Furthermore, a statistical model is suggested to provide a best description of the COVID-19 total death data in the Asian countries. Hindawi 2020-06-28 /pmc/articles/PMC7322603/ /pubmed/32670391 http://dx.doi.org/10.1155/2020/4296806 Text en Copyright © 2020 Min Zuo et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zuo, Min
Khosa, Saima K.
Ahmad, Zubair
Almaspoor, Zahra
Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title_full Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title_fullStr Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title_full_unstemmed Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title_short Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
title_sort comparison of covid-19 pandemic dynamics in asian countries with statistical modeling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322603/
https://www.ncbi.nlm.nih.gov/pubmed/32670391
http://dx.doi.org/10.1155/2020/4296806
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