Fitness of the Generalized Growth to the COVID-19 Data

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":"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}
引用次数: 3

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
广义增长对新冠肺炎数据的适应性
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
电子科技大学学报
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:
期刊最新文献
基于慢病毒载体进行慢性肉芽肿病(CGD)的基因治疗 基于代谢干预策略的仿生纳米金属有机框架用于协同抗肿瘤研究 KR饮食对肺癌的抑瘤效应和放疗协同作用及其机制研究 载姜黄素的新型脑靶向递药系统治疗阿尔茨海默病的研究 海胆状金纳米颗粒的形貌及掺杂位置对OLED光提取作用研究
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1