Analyzing the epidemiological outbreak of COVID‐19: A visual exploratory data analysis approach

There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019‐nCoV) as a worldwide public health threat. As the outbreak of COVID‐19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) progresses within China and beyond, ra...

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Vydané v:Journal of medical virology Ročník 92; číslo 6; s. 632 - 638
Hlavní autori: Dey, Samrat K., Rahman, Md. Mahbubur, Siddiqi, Umme R., Howlader, Arpita
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.06.2020
John Wiley and Sons Inc
Predmet:
Algorithms
Betacoronavirus - pathogenicity
China
Computer Graphics
Containment
Convalescence
Coronaviridae
coronavirus
Coronavirus Infections - diagnosis
Coronavirus Infections - epidemiology
Coronavirus Infections - prevention & control
Coronavirus Infections - transmission
Coronaviruses
COVID-19
Data analysis
Databases, Factual
Datasets as Topic
Disease control
Epidemiology
Health Knowledge, Attitudes, Practice
Health risks
Humans
International Cooperation
Outbreaks
Pandemics - prevention & control
Pneumonia, Viral - diagnosis
Pneumonia, Viral - epidemiology
Pneumonia, Viral - prevention & control
Pneumonia, Viral - transmission
Public health
Public Health - statistics & numerical data
SARS-CoV-2
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Situational awareness
Survival Analysis
Viral diseases
Virology
Viruses
visualization
China
COVID-19
coronavirus
SARS-CoV-2
visualization
data analysis
China
ISSN:0146-6615, 1096-9071, 1096-9071
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Popis
Shrnutí:There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019‐nCoV) as a worldwide public health threat. As the outbreak of COVID‐19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) progresses within China and beyond, rapidly available epidemiological data are needed to guide strategies for situational awareness and intervention. The recent outbreak of pneumonia in Wuhan, China, caused by the SARS‐CoV‐2 emphasizes the importance of analyzing the epidemiological data of this novel virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze epidemiological outbreak information on COVID‐19 based on the several open datasets on 2019‐nCoV provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and recovered) in different provinces of China and outside of China. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities. Highlights The outbreak of COVID‐19 has become a clinical threat worldwide. Knowledge about SARS‐CoV‐2 virus remains limited. Epidemiological data needs to be analyzed. A Visual Exploratory Data Analysis (V‐EDA) model helps to understand the consequences of the COVID‐19 outbreak.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0146-6615
1096-9071
1096-9071
DOI:10.1002/jmv.25743