DSpace Repository

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

Show simple item record

dc.creator Kadyrov, Shirali
dc.creator Orynbassar, Alibek
dc.creator Saydaliev, Hayot Berk
dc.date 2021-01-01T00:00:00Z
dc.date.accessioned 2022-05-10T11:18:42Z
dc.date.available 2022-05-10T11:18:42Z
dc.identifier 653adf1f-fbc4-4f55-ae1f-673d29859e67
dc.identifier 10.5614/j.math.fund.sci.2021.53.3.2
dc.identifier https://avesis.sdu.edu.tr/publication/details/653adf1f-fbc4-4f55-ae1f-673d29859e67/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/96675
dc.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 by products, 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.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
dc.type info:eu-repo/semantics/article


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account