Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak

Many research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. T...

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Autores principales:	Shirali Kadyrov, Alibek Orynbassar, Hayot Berk Saydaliev
Formato:	article
Lenguaje:	EN
Publicado:	ITB Journal Publisher 2021
Materias:	basic reproduction clustering COVID-19 doubling period dynamical systems parameter estimation Science Q Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/edb60b06b14f41ccb95e0a3f66ee1d17
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spelling	oai:doaj.org-article:edb60b06b14f41ccb95e0a3f66ee1d172021-12-03T07:44:10ZPurely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak10.5614/j.math.fund.sci.2021.53.3.22337-57602338-5510https://doaj.org/article/edb60b06b14f41ccb95e0a3f66ee1d172021-12-01T00:00:00Zhttps://journals.itb.ac.id/index.php/jmfs/article/view/13573https://doaj.org/toc/2337-5760https://doaj.org/toc/2338-5510 Many research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. The authors used Johns Hopkins University’s dataset to estimate the basic reproduction number of COVID-19 for five representative countries (Japan, Germany, Italy, France, and the Netherlands) that were selected using cluster analysis. As byproducts, the authors estimated the transmission, recovery, and death rates for each selected country and carried out statistical tests to see if there were any significant differences. Shirali KadyrovAlibek OrynbassarHayot Berk SaydalievITB Journal Publisherarticlebasic reproductionclusteringCOVID-19doubling perioddynamical systemsparameter estimationScienceQScience (General)Q1-390ENJournal of Mathematical and Fundamental Sciences, Vol 53, Iss 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	basic reproduction clustering COVID-19 doubling period dynamical systems parameter estimation Science Q Science (General) Q1-390
spellingShingle	basic reproduction clustering COVID-19 doubling period dynamical systems parameter estimation Science Q Science (General) Q1-390 Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
description	Many research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. The authors used Johns Hopkins University’s dataset to estimate the basic reproduction number of COVID-19 for five representative countries (Japan, Germany, Italy, France, and the Netherlands) that were selected using cluster analysis. As byproducts, the authors estimated the transmission, recovery, and death rates for each selected country and carried out statistical tests to see if there were any significant differences.
format	article
author	Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev
author_facet	Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev
author_sort	Shirali Kadyrov
title	Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
title_short	Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
title_full	Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
title_fullStr	Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
title_full_unstemmed	Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
title_sort	purely data-driven exploration of covid-19 pandemic after three months of the outbreak
publisher	ITB Journal Publisher
publishDate	2021
url	https://doaj.org/article/edb60b06b14f41ccb95e0a3f66ee1d17
work_keys_str_mv	AT shiralikadyrov purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak AT alibekorynbassar purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak AT hayotberksaydaliev purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak
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Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak

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