COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean
1 Deportment of Hematology, College of Medical Laboratory Sciences, University of Science and Technology, Omdurman, Sudan.
2 Deportment of Hematology, College of Medical Laboratory Sciences, Omdurman Islamic University, Khartoum, Sudan.
3 Department of Informatics, Kharkiv National University of Radio Electronics, Ukrainе.
Research Article
World Journal of Advanced Research and Reviews, 2020, 06(03), 110-120
Article DOI: 10.30574/wjarr.2020.6.3.0188
Publication history:
Received on 04 June 2020; revised on 13 June 2020; accepted on 14 June 2020
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.
Keywords:
Viruses; COVID-19; Pandemic; Wavelet analysis; Wavelet coherence; Data series
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