{"title":"使用平滑logistic函数逼近2020年大流行期间吉尔吉斯斯坦人口发病率动态","authors":"K.S. Abdyraimovа, A. J. Satybaev, B. Kantsyrev","doi":"10.35803/1694-5298.2022.2.484-489","DOIUrl":null,"url":null,"abstract":"This work takes into account the specificity of the picture of the incidence of Covid-19 in Kyrgyzstan. The data on morbidity published by the Ministry of Health and Social Development of the Kyrgyz Republic on restrictive measures of the government in connection with the spread of infection are analyzed. The analysis is based on the application of the logistic S-function. A method of statistical analysis of dependence for the intensity of the incidence of Covid-19 in the Republic of Kyrgyzstan is proposed. The results of the approximation by the S-function and its parameters were obtained, which make it possible to model the intensity of morbidity as a function of time. A discussion of the results is presented.","PeriodicalId":101712,"journal":{"name":"The Herald of KSUCTA, №2, Part 1, 2022","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"APPROXIMATION OF THE DYNAMICS OF THE INCIDENCE OF THE POPULATION OF KYRGYZSTAN DURING THE 2020 PANDEMIC USING A SMOOTH LOGISTIC FUNCTION\",\"authors\":\"K.S. Abdyraimovа, A. J. Satybaev, B. Kantsyrev\",\"doi\":\"10.35803/1694-5298.2022.2.484-489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work takes into account the specificity of the picture of the incidence of Covid-19 in Kyrgyzstan. The data on morbidity published by the Ministry of Health and Social Development of the Kyrgyz Republic on restrictive measures of the government in connection with the spread of infection are analyzed. The analysis is based on the application of the logistic S-function. A method of statistical analysis of dependence for the intensity of the incidence of Covid-19 in the Republic of Kyrgyzstan is proposed. The results of the approximation by the S-function and its parameters were obtained, which make it possible to model the intensity of morbidity as a function of time. A discussion of the results is presented.\",\"PeriodicalId\":101712,\"journal\":{\"name\":\"The Herald of KSUCTA, №2, Part 1, 2022\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Herald of KSUCTA, №2, Part 1, 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35803/1694-5298.2022.2.484-489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Herald of KSUCTA, №2, Part 1, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35803/1694-5298.2022.2.484-489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
APPROXIMATION OF THE DYNAMICS OF THE INCIDENCE OF THE POPULATION OF KYRGYZSTAN DURING THE 2020 PANDEMIC USING A SMOOTH LOGISTIC FUNCTION
This work takes into account the specificity of the picture of the incidence of Covid-19 in Kyrgyzstan. The data on morbidity published by the Ministry of Health and Social Development of the Kyrgyz Republic on restrictive measures of the government in connection with the spread of infection are analyzed. The analysis is based on the application of the logistic S-function. A method of statistical analysis of dependence for the intensity of the incidence of Covid-19 in the Republic of Kyrgyzstan is proposed. The results of the approximation by the S-function and its parameters were obtained, which make it possible to model the intensity of morbidity as a function of time. A discussion of the results is presented.
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