{"title":"俄罗斯Covid-19病例动态","authors":"Mazurkin Pm","doi":"10.46718/jbgsr.2022.11.000265","DOIUrl":null,"url":null,"abstract":"A wavelet analysis was carried out using asymmetric wave functions of daily statistical data for all cases of Covid-19 dynamics in Russia from 03/01/2020 to 01/10/2022 for 681 days. The wavelet identification method showed that in Russia there is a very close oscillatory adaptation of the virus parameters. The main changes for 681 days occur in the first quantum of behavior in the form of a power function, which becomes the first component of the general formula according to Rene Descartes with asymmetric wavelets.","PeriodicalId":405266,"journal":{"name":"Open Access Journal of Biogeneric Science and Research","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamics of Covid-19 Cases in Russia\",\"authors\":\"Mazurkin Pm\",\"doi\":\"10.46718/jbgsr.2022.11.000265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wavelet analysis was carried out using asymmetric wave functions of daily statistical data for all cases of Covid-19 dynamics in Russia from 03/01/2020 to 01/10/2022 for 681 days. The wavelet identification method showed that in Russia there is a very close oscillatory adaptation of the virus parameters. The main changes for 681 days occur in the first quantum of behavior in the form of a power function, which becomes the first component of the general formula according to Rene Descartes with asymmetric wavelets.\",\"PeriodicalId\":405266,\"journal\":{\"name\":\"Open Access Journal of Biogeneric Science and Research\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Access Journal of Biogeneric Science and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46718/jbgsr.2022.11.000265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Journal of Biogeneric Science and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46718/jbgsr.2022.11.000265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wavelet analysis was carried out using asymmetric wave functions of daily statistical data for all cases of Covid-19 dynamics in Russia from 03/01/2020 to 01/10/2022 for 681 days. The wavelet identification method showed that in Russia there is a very close oscillatory adaptation of the virus parameters. The main changes for 681 days occur in the first quantum of behavior in the form of a power function, which becomes the first component of the general formula according to Rene Descartes with asymmetric wavelets.
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