COVID-19 Data Based on Wavelet Coherence Estimates for Selected Countries in the Eastern Mediterranean

Abstract

Background and Objective: 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. Materials and Methods: 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. Results: 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. Conclusions: The results are obtained that explain some aspects of the dynamics of the COVID-19 pandemic in individual countries of the selected region

Dynamics of COVID-19 Development: New Data and New Estimates from Wavelet Analysis

“…To begin with, we will conduct a small literature review of the methods that are used to analyze statistical data on the COVID-19 pandemic. As our research shows, there are a lot of such methods (Lyashenko, Saad, & Babker, 2020;Mustafa et al, 2020;Babker, Mohammed, & Lyashenko, 2020).…”