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


  • Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of RadioElectronics, Ukrainе




Viruses, COVID-19, Wavelet Analysis, Wavelet Coherence, Statistics


Investigation of the dynamics of diseases from viruses is a key issue in the understanding of their distribution. This is especially important when viruses are dangerous. This requires the use of various analysis tools. We used wavelet coherence. We obtained results that explain some of the dynamics of the COVID-19 pandemic. We also conducted a comparative analysis of the development of the pandemic between individual European countries.


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How to Cite

Lyashenko, V. . (2020). Dynamics of COVID-19 Development: New Data and New Estimates from Wavelet Analysis. International Journal Papier Advance and Scientific Review, 1(2), 64-71. https://doi.org/10.47667/ijpasr.v1i2.60