Перегляд за автором "Omer Ibrahim Abdallah Mohammed"

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  • Зображення мініатюри
    Публікація
    COVID-19 data based on wavelet coherence estimates for selected countries in the Eastern Mediterranean
    (WJARR, 2020) Asaad Mohammed Ahmed Babker; Omer Ibrahim Abdallah Mohammed; Lyashenko, V.
    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.
  • Зображення мініатюри
    Публікація
    COVID-19 wavelet coherence data for some Gulf countries
    (GSC, 2020) Lyashenko, V.; Omer Ibrahim Abdallah Mohammed; Asaad Mohammed Ahmed Babker
    Coronaviruses are one of the most dangerous forms of viruses. The development of the COVID-19 pandemic takes the form of a potential threat to all of humanity. This is due to the fact that coronaviruses have high pathogenicity, the ability to overcome human immunity. There are also difficulties in treating diseases that are associated with coronavirus. To solve such issues, it is important to obtain reliable statistical data, as well as conduct a comprehensive analysis of the data that are currently received. Based on this, the paper considers the possibility of analyzing data on the development of the COVID-19 pandemic based on wavelet analysis approaches. The wavelet coherence method was used as the main approach for statistical data analysis. The consistency of the results for different countries of the Persian Gulf is shown. Based on the analysis of the depth of cross-references between the studied data series, the most significant time periods were obtained until patients recover or die. Some explanation is given for the patterns that arise for individual Gulf countries. The data obtained can be used in the fight against the pandemic COVID-19, understanding the dynamics of its development.