Forecasting and Decision Making in the Context of COVID

Kuzomin, O.; Abu-Jassar Amer Tahseen; Lyashenko V.

Публікація:
Forecasting and Decision Making in the Context of COVID

dc.contributor.author	Kuzomin, O.
dc.contributor.author	Abu-Jassar Amer Tahseen
dc.contributor.author	Lyashenko V.
dc.date.accessioned	2023-06-30T09:51:35Z
dc.date.available	2023-06-30T09:51:35Z
dc.date.issued	2023
dc.description.abstract	The results of a literature review on the topic forecasting and decision making in the context of COVID are presented. The aim of the paper is to analyze the statements and research results of various experts on COVID modeling and the implementation of a systems approach concept for the selection of a combination of models, hardware and software. Modification of modeling, prediction methods to control the emergence, development and elimination of the consequences of the "so-called pandemic" COVID. For the problem at hand a comprehensive solution of the COVID monitoring problem can be proposed which has a combination of different modeling techniques. We also provide specific data from the analysis based on wavelet coherence. These results are presented in the form of charts that help to understand some predictive estimates, be useful for future research , and confirm some data.
dc.identifier.citation	Kuzomin O. Forecasting and Decision Making in the Context of COVID / O. Kuzomin, A. T. Abu-Jassar, V. Lyashenko // International Journal of Academic Information Systems Research. – 2023. – Vol. 7(6). –P. 89-94.
dc.identifier.issn	2643-9026
dc.identifier.uri	https://openarchive.nure.ua/handle/document/23673
dc.language.iso	en
dc.publisher	IJAISR
dc.subject	COVID-19
dc.subject	memory -based reasoning
dc.title	Forecasting and Decision Making in the Context of COVID
dc.type	Article
dspace.entity.type	Publication