COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean

Asaad Mohammed Ahmed Babker; Omer Ibrahim Abdallah Mohammed; Lyashenko, V.

Публікація:
COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean

dc.contributor.author	Asaad Mohammed Ahmed Babker
dc.contributor.author	Omer Ibrahim Abdallah Mohammed
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2020-06-19T09:12:58Z
dc.date.available	2020-06-19T09:12:58Z
dc.date.issued	2020
dc.description.abstract	The development of the COVID-19 pandemic makes it necessary to conduct various studies on this topic. One of the key questions is the study of the dynamics of the development of this disease. It is important to know for each country. At the same time, the study of the dynamics of the development of COVID-19 for countries in a particular region is relevant. The main objective of this study is to analyze the main indicators of the development of the COVID-19 epidemic for individual countries in the eastern Mediterranean. Abbreviations if possible. We review statistics that characterize the total number of confirmed cases of COVID-19, total number of recovered, total number of deaths. This is cumulative data. These data are considered for each individual country from the selected region. Also summarized data for the selected region are considered. To analyze the data, we use estimates of the wavelet coherence values. We obtained estimates of wavelet coherence values for countries such as: Egypt, Israel, Jordan, Lebanon, Syria, Turkey and Cyprus. These estimates reflect the depth of the relationship between total number of confirmed cases of COVID-19 and total number of recovered, between total number of confirmed cases of COVID-19 and total number of deaths. This makes it possible to assess the degree of influence between the series of data that are being investigated. This allows us to draw conclusions about the development of the COVID-19 pandemic. The results are obtained that explain some aspects of the dynamics of the COVID-19 pandemic in individual countries of the selected region.	uk_UA
dc.identifier.citation	Babker A. Ma. COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean / Babker A. Ma., Mohammed O. I. A., Lyashenko V. // World Journal of Advanced Research and Reviews. – 2020. – Vol. 6(3). – P. 110-120.	uk_UA
dc.identifier.issn	2581-9615
dc.identifier.uri	http://openarchive.nure.ua/handle/document/12250
dc.language.iso	en	uk_UA
dc.publisher	WJARR	uk_UA
dc.subject	Viruses	uk_UA
dc.subject	COVID-19	uk_UA
dc.subject	Wavelet analysis	uk_UA
dc.subject	Wavelet coherence	uk_UA
dc.title	COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication