{"title":"以冠状病毒感染为例的“皇尾”动力学","authors":"M. Guzev, E. Nikitina","doi":"10.47910/femj202203","DOIUrl":null,"url":null,"abstract":"In the paper the dynamics of rank distributions is discussed on the example of a study of the incidence of COVID-19 in Primorsky Krai in 2020-2022, taking into account the periodicity of the morbidity process, and an explanation of the nature of “imperial tails” is given. It is shown that the chosen modeling method is within the framework of the general trend of research into the development of the pandemic process, and the found characteristic parameters are close to classical estimates.","PeriodicalId":388451,"journal":{"name":"Dal'nevostochnyi Matematicheskii Zhurnal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The dynamics of “imperial tails” on the example of coronavirus infection\",\"authors\":\"M. Guzev, E. Nikitina\",\"doi\":\"10.47910/femj202203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper the dynamics of rank distributions is discussed on the example of a study of the incidence of COVID-19 in Primorsky Krai in 2020-2022, taking into account the periodicity of the morbidity process, and an explanation of the nature of “imperial tails” is given. It is shown that the chosen modeling method is within the framework of the general trend of research into the development of the pandemic process, and the found characteristic parameters are close to classical estimates.\",\"PeriodicalId\":388451,\"journal\":{\"name\":\"Dal'nevostochnyi Matematicheskii Zhurnal\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dal'nevostochnyi Matematicheskii Zhurnal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47910/femj202203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dal'nevostochnyi Matematicheskii Zhurnal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47910/femj202203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The dynamics of “imperial tails” on the example of coronavirus infection
In the paper the dynamics of rank distributions is discussed on the example of a study of the incidence of COVID-19 in Primorsky Krai in 2020-2022, taking into account the periodicity of the morbidity process, and an explanation of the nature of “imperial tails” is given. It is shown that the chosen modeling method is within the framework of the general trend of research into the development of the pandemic process, and the found characteristic parameters are close to classical estimates.
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