广义增长对新冠肺炎数据的适应性

Q4 Engineering

电子科技大学学报 Pub Date : 2020-05-01 DOI:10.12178/1001-0548.5_2020037

Lin Zhang

{"title":"广义增长对新冠肺炎数据的适应性","authors":"Lin Zhang","doi":"10.12178/1001-0548.5_2020037","DOIUrl":null,"url":null,"abstract":"A generalized growth model is applied to fit the time series of cumulative confirmed cases between Jan. 15 to Feb. 15, 2020. Moreover, the same formula is also applied to the time series of cumulative susceptive cases and cumulative close contact cases from Jan. 23 to Feb. 15, 2020. The model tallies with data published by the National Health Commission. The sub-exponential and sub-linear growth reflect the time heterogeneity during the transmission of COVID-19, which provide the reference to the prediction of the growth trend of the transmission.","PeriodicalId":35864,"journal":{"name":"电子科技大学学报","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fitness of the Generalized Growth to the COVID-19 Data\",\"authors\":\"Lin Zhang\",\"doi\":\"10.12178/1001-0548.5_2020037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A generalized growth model is applied to fit the time series of cumulative confirmed cases between Jan. 15 to Feb. 15, 2020. Moreover, the same formula is also applied to the time series of cumulative susceptive cases and cumulative close contact cases from Jan. 23 to Feb. 15, 2020. The model tallies with data published by the National Health Commission. The sub-exponential and sub-linear growth reflect the time heterogeneity during the transmission of COVID-19, which provide the reference to the prediction of the growth trend of the transmission.\",\"PeriodicalId\":35864,\"journal\":{\"name\":\"电子科技大学学报\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电子科技大学学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.12178/1001-0548.5_2020037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电子科技大学学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12178/1001-0548.5_2020037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 3

摘要

应用广义增长模型拟合2020年1月15日至2月15日期间累计确诊病例的时间序列。此外，同样的公式也适用于2020年1月23日至2月15日的累计易感病例和累计密切接触病例的时间序列。该模型与国家卫生健康委员会公布的数据相吻合。亚指数和亚线性增长反映了新冠肺炎传播过程中的时间异质性，为预测传播增长趋势提供了参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Fitness of the Generalized Growth to the COVID-19 Data

A generalized growth model is applied to fit the time series of cumulative confirmed cases between Jan. 15 to Feb. 15, 2020. Moreover, the same formula is also applied to the time series of cumulative susceptive cases and cumulative close contact cases from Jan. 23 to Feb. 15, 2020. The model tallies with data published by the National Health Commission. The sub-exponential and sub-linear growth reflect the time heterogeneity during the transmission of COVID-19, which provide the reference to the prediction of the growth trend of the transmission.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

电子科技大学学报 Engineering-Electrical and Electronic Engineering

CiteScore

1.40

自引率

0.00%

发文量

7228

期刊介绍：