About: A Statistical Modeling of the Course of COVID-19 (SARS-CoV-2) Outbreak: A Comparative Analysis

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	A Statistical Modeling of the Course of COVID-19 (SARS-CoV-2) Outbreak: A Comparative Analysis
Creator	Erdem, Hakan Arslan, Ferhat Cag, Yasemin Caskurlu, Hulya Vahaboglu, Haluk Ankarali, Handan Ankaralli, Seyit Ankarali, Seyit
source	Medline; PMC
abstract	This study aims to provide both a model by using cumulative cases and cumulative death toll for SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) outbreak in 4 countries, China, Italy, South Korea, and Turkey, starting from the first diagnosis and to compare associated indicators. The most successful estimation was obtained from the cubic model with natural logarithm for China, Italy, South Korea, and Turkey. The success of the models was around 99%. However, differences began to emerge in China, Italy, and South Korea after the second week. Although the highest number of new cases per 1 million people in China was 9.8 on February 28, 2020; it was 108.4 on March 21, 2020, in Italy; and this was 16.6 on March 5, 2020, in South Korea. On the other hand, the number of new cases was 24.6 per 1 million people on March 27, 2020, in Turkey. The log-cubic model proposed in this study has been set forth to obtain successful results for aforementioned countries, as well as to estimate the course of the COVID-19 outbreak. Other factors such as climacteric factors and genetic differences, which may have an impact on viral spreading and transmission, would also have strengthened the model prediction capacity.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1177/1010539520928180
bibo:pmid	32450712
has license	cc-by
sha1sum (hex)	f3f0cc78632352ec07e44e655107e0c79a734076
schema:url	https://doi.org/10.1177/1010539520928180
resource representing a document's title	A Statistical Modeling of the Course of COVID-19 (SARS-CoV-2) Outbreak: A Comparative Analysis
has PubMed Central identifier	PMC7251623
has PubMed identifier	32450712
schema:publication	Asia Pac J Public Health
resource representing a document's body	covid:f3f0cc78632352ec07e44e655107e0c79a734076#body_text
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