从 COVID-19 流行病的确诊感染人数推断出的一个有趣参数

Chow Cl, Cheng Ch, Chow Wk
{"title":"从 COVID-19 流行病的确诊感染人数推断出的一个有趣参数","authors":"Chow Cl, Cheng Ch, Chow Wk","doi":"10.17727/jmsr.2023/11-49","DOIUrl":null,"url":null,"abstract":"In controlling outbreaks of COVID-19, the number of daily confirmed infected cases is useful in deducing parameters to determine emergency management actions such as locking down the cities. However, complicated mathematical models with ordinary differential equations are involved. Resources including manpower and data accessibility are needed. The parameters deduced are always challenged by stakeholders, particularly those from servicing and tourist industry. A simple parameter is proposed to describe the extent of infection by estimating the transient daily infection number divided by the time. The daily infection number in Hong Kong is used to illustrate the approach. This will not require large-scale long-term observation and mathematical modeling or computation. Keywords: COVID-19; infection number; parameter","PeriodicalId":32890,"journal":{"name":"Journal of Medical and Scientific Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An interesting parameter deduced from confirmed infection number in COVID-19 epidemic\",\"authors\":\"Chow Cl, Cheng Ch, Chow Wk\",\"doi\":\"10.17727/jmsr.2023/11-49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In controlling outbreaks of COVID-19, the number of daily confirmed infected cases is useful in deducing parameters to determine emergency management actions such as locking down the cities. However, complicated mathematical models with ordinary differential equations are involved. Resources including manpower and data accessibility are needed. The parameters deduced are always challenged by stakeholders, particularly those from servicing and tourist industry. A simple parameter is proposed to describe the extent of infection by estimating the transient daily infection number divided by the time. The daily infection number in Hong Kong is used to illustrate the approach. This will not require large-scale long-term observation and mathematical modeling or computation. Keywords: COVID-19; infection number; parameter\",\"PeriodicalId\":32890,\"journal\":{\"name\":\"Journal of Medical and Scientific Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical and Scientific Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17727/jmsr.2023/11-49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical and Scientific Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17727/jmsr.2023/11-49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在控制 COVID-19 爆发的过程中,每日确诊感染病例的数量有助于推断参数,从而决定采取封锁城市等应急管理行动。然而,这涉及复杂的常微分方程数学模型。需要人力和数据等资源。推导出的参数总是受到利益相关者的质疑,尤其是来自服务业和旅游业的利益相关者。现提出一个简单的参数,通过估算瞬时每日感染人数除以时间来描述感染程度。香港的每日感染数被用来说明这种方法。这不需要大规模的长期观测和数学建模或计算。关键词COVID-19;感染数;参数
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An interesting parameter deduced from confirmed infection number in COVID-19 epidemic
In controlling outbreaks of COVID-19, the number of daily confirmed infected cases is useful in deducing parameters to determine emergency management actions such as locking down the cities. However, complicated mathematical models with ordinary differential equations are involved. Resources including manpower and data accessibility are needed. The parameters deduced are always challenged by stakeholders, particularly those from servicing and tourist industry. A simple parameter is proposed to describe the extent of infection by estimating the transient daily infection number divided by the time. The daily infection number in Hong Kong is used to illustrate the approach. This will not require large-scale long-term observation and mathematical modeling or computation. Keywords: COVID-19; infection number; parameter
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
自引率
0.00%
发文量
0
审稿时长
6 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信