The current COVID-19 pandemic in China: An overview and corona data analysis

At the end of December 2019, the Wuhan Municipal Health Commission, revealed several cases of pneumonia of unknown etiology. Later, this etiology was called the coronavirus disease 2019 (COVID-19). COVID-19 disease is rapidly spreading around the globe, affected millions of people, compelling govern...

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Autores principales:	Wang Bo, Zubair Ahmad, Ayed R.A. Alanzi, Amer Ibrahim Al-Omari, E.H. Hafez, Sayed F. Abdelwahab
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	COVID-19 Event background Symptoms Preventions Statistical modeling Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6ab4ff130c7141f98f6b071067c5a4af
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spelling	oai:doaj.org-article:6ab4ff130c7141f98f6b071067c5a4af2021-11-18T04:45:16ZThe current COVID-19 pandemic in China: An overview and corona data analysis1110-016810.1016/j.aej.2021.06.025https://doaj.org/article/6ab4ff130c7141f98f6b071067c5a4af2022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821003860https://doaj.org/toc/1110-0168At the end of December 2019, the Wuhan Municipal Health Commission, revealed several cases of pneumonia of unknown etiology. Later, this etiology was called the coronavirus disease 2019 (COVID-19). COVID-19 disease is rapidly spreading around the globe, affected millions of people, compelling governments to take serious actions. Due to this deadly disease, a number of deaths have been occurred and still increasing exponentially. In the practice and application of big data sciences, it is always of interest to provide the best description of the data. In this present article, the event background, symptoms, and preventions from COVID-19 are discussed. The steps were taken by the Chinese government to control the COVID-19 has also been discussed. Up to date, details, and data of daily discovered cases, total discovered cases, daily deaths, and total deaths around the world are presented. Moreover, a new statistical distribution is introduced to provide the best characterization of the survival times of the patients affected by the COVID-19 in China. By analyzing the survival times of the COVID-19 patient’s data, it is showed that the new model provides a closer fit to COVID-19 events.Wang BoZubair AhmadAyed R.A. AlanziAmer Ibrahim Al-OmariE.H. HafezSayed F. AbdelwahabElsevierarticleCOVID-19Event backgroundSymptomsPreventionsStatistical modelingEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 2, Pp 1369-1381 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 Event background Symptoms Preventions Statistical modeling Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	COVID-19 Event background Symptoms Preventions Statistical modeling Engineering (General). Civil engineering (General) TA1-2040 Wang Bo Zubair Ahmad Ayed R.A. Alanzi Amer Ibrahim Al-Omari E.H. Hafez Sayed F. Abdelwahab The current COVID-19 pandemic in China: An overview and corona data analysis
description	At the end of December 2019, the Wuhan Municipal Health Commission, revealed several cases of pneumonia of unknown etiology. Later, this etiology was called the coronavirus disease 2019 (COVID-19). COVID-19 disease is rapidly spreading around the globe, affected millions of people, compelling governments to take serious actions. Due to this deadly disease, a number of deaths have been occurred and still increasing exponentially. In the practice and application of big data sciences, it is always of interest to provide the best description of the data. In this present article, the event background, symptoms, and preventions from COVID-19 are discussed. The steps were taken by the Chinese government to control the COVID-19 has also been discussed. Up to date, details, and data of daily discovered cases, total discovered cases, daily deaths, and total deaths around the world are presented. Moreover, a new statistical distribution is introduced to provide the best characterization of the survival times of the patients affected by the COVID-19 in China. By analyzing the survival times of the COVID-19 patient’s data, it is showed that the new model provides a closer fit to COVID-19 events.
format	article
author	Wang Bo Zubair Ahmad Ayed R.A. Alanzi Amer Ibrahim Al-Omari E.H. Hafez Sayed F. Abdelwahab
author_facet	Wang Bo Zubair Ahmad Ayed R.A. Alanzi Amer Ibrahim Al-Omari E.H. Hafez Sayed F. Abdelwahab
author_sort	Wang Bo
title	The current COVID-19 pandemic in China: An overview and corona data analysis
title_short	The current COVID-19 pandemic in China: An overview and corona data analysis
title_full	The current COVID-19 pandemic in China: An overview and corona data analysis
title_fullStr	The current COVID-19 pandemic in China: An overview and corona data analysis
title_full_unstemmed	The current COVID-19 pandemic in China: An overview and corona data analysis
title_sort	current covid-19 pandemic in china: an overview and corona data analysis
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/6ab4ff130c7141f98f6b071067c5a4af
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The current COVID-19 pandemic in China: An overview and corona data analysis

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