Wavelet Coherence as a Tool for Visualizing the Relationship between Glomerular Filtration Rate and Renal Artery Blood Flow Velocity

Ali, Wadah M.

doi:10.30534/ijeter/2019/157122019

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…Moreover, among such methods, it is worth highlighting those that allow mutual analysis of various indicators. Among these methods, wavelet analysis can be distinguished [15,16,17]. This analysis allows us to identify implicit trends, to analyze the mutual influence of various indicators in the development of the COVID-19 pandemic.…”

Section: A Small Review Of Research Publicationsmentioning

confidence: 99%

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Some data of wavelet analysis on the overall dynamics of the dead and recovered during infection COVID-19

Lyashenko¹,

Saad²,

Babker³

2020

World J. Adv. Res. Rev.

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Coronaviruses are one of the dangerous sources of human infection. Such a source can be fatal. At the same time, there are certain difficulties in the treatment of diseases that are associated with coronavirus. To solve such issues, it is important to obtain reliable statistics. Equally important is the analysis of the data that are available. Moreover, the necessary condition for the use of such data is the ability to explain the existing relationships between the various parameters that describe the dynamics of the pandemic. The disclosure of these issues is the subject of this study.

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Section: A Small Review Of Research Publicationsmentioning

confidence: 99%

“…Among the methods of wavelet analysis, we should single out a method that is based on the estimation of wavelet coherence [15][16][17][18]. This method allows you to do cross-analysis for the data series that are being investigated.…”

Section: Wavelet Coherency As a Data Analysis Toolmentioning

confidence: 99%

Some data of wavelet analysis on the overall dynamics of the dead and recovered during infection COVID-19

Lyashenko¹,

Saad²,

Babker³

2020

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…One of the directions for the development of relevant studies is a mutual analysis of existing primary statistics (total number of infected COVID-19, number of deaths, number of recovered). The solution to this problem is possible through the use of wavelet ideology, which has shown good results in the study of medical data [13][14][15].…”

Section: A Small Review Of Research Publicationsmentioning

confidence: 99%

COVID-19 wavelet coherence data for some Gulf countries

Lyashenko

Mohammed

Babker

2020

GSC Biol. and Pharm. Sci.

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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.

show abstract

Wavelet Coherence as a Tool for Visualizing the Relationship between Glomerular Filtration Rate and Renal Artery Blood Flow Velocity

Cited by 2 publications

References 18 publications

Some data of wavelet analysis on the overall dynamics of the dead and recovered during infection COVID-19

Some data of wavelet analysis on the overall dynamics of the dead and recovered during infection COVID-19

COVID-19 wavelet coherence data for some Gulf countries

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