Brief review of the mathematical models for analyzing and forecasting transmission of COVID-19

Публікація:
Brief review of the mathematical models for analyzing and forecasting transmission of COVID-19

dc.contributor.author	Mustafa, Syed Khalid
dc.contributor.author	Ahmad, M. Ayaz
dc.contributor.author	Sotnik, S.
dc.contributor.author	Zeleniy, O.
dc.contributor.author	Lyashenko, V.
dc.contributor.author	Alzahrani, Othman
dc.date.accessioned	2020-08-24T19:31:35Z
dc.date.available	2020-08-24T19:31:35Z
dc.date.issued	2020
dc.description.abstract	Coronaviruses are one of the dangerous sources of human infection. To counter such a source, it is important to obtain reliable statistics. It is also necessary to carry out appropriate data analysis, which helps to find solutions to various issues. To do this, use data analysis and forecasting models. Thus, this work is devoted to the review of mathematical models for the analysis and prediction of the distribution of COVID-19. Such a review showed that there are models of different directions. This allows you to make more effective decisions.	uk_UA
dc.identifier.citation	Mustafa S. K., Ahmad M. A., Sotnik S., Zeleniy O., Lyashenko V., Alzahrani O. Brief review of the mathematical models for analyzing and forecasting transmission of COVID-19 // JOURNAL OF CRITICAL REVIEWS. – 2020. – 7(19). – P. 4206-4210.	uk_UA
dc.identifier.issn	2394-5125
dc.identifier.uri	http://openarchive.nure.ua/handle/document/12770
dc.language.iso	en	uk_UA
dc.publisher	JCR	uk_UA
dc.subject	mathematical models	uk_UA
dc.subject	COVID-19	uk_UA
dc.title	Brief review of the mathematical models for analyzing and forecasting transmission of COVID-19	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication