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

dc.contributor.authorMustafa, Syed Khalid
dc.contributor.authorAhmad, M. Ayaz
dc.contributor.authorSotnik, S.
dc.contributor.authorZeleniy, O.
dc.contributor.authorLyashenko, V.
dc.contributor.authorAlzahrani, Othman
dc.date.accessioned2020-08-24T19:31:35Z
dc.date.available2020-08-24T19:31:35Z
dc.date.issued2020
dc.description.abstractCoronaviruses 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.citationMustafa 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.issn2394-5125
dc.identifier.urihttp://openarchive.nure.ua/handle/document/12770
dc.language.isoenuk_UA
dc.publisherJCRuk_UA
dc.subjectmathematical modelsuk_UA
dc.subjectCOVID-19uk_UA
dc.titleBrief review of the mathematical models for analyzing and forecasting transmission of COVID-19uk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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