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Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling.
Zuo, Min; Khosa, Saima K; Ahmad, Zubair; Almaspoor, Zahra.
  • Zuo M; School of Management, China University of Mining and Technology, Xuzhou City, Jiangsu Province, China.
  • Khosa SK; Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan.
  • Ahmad Z; Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran.
  • Almaspoor Z; Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran.
Comput Math Methods Med ; 2020: 4296806, 2020.
Article in English | MEDLINE | ID: covidwho-647157
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 2020

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 2020