• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

无症状感染者的分类、隔离和检疫在新冠病毒传播中的作用。

The role of asymptomatic class, quarantine and isolation in the transmission of COVID-19.

机构信息

Department of Mathematics, Lahore University of Management Sciences, DHA Lahore, Pakistan.

Department of Mathematics and Natural Sciences, Gulf University for Science & Technology, Mishref, Kuwait.

出版信息

J Biol Dyn. 2020 Dec;14(1):389-408. doi: 10.1080/17513758.2020.1773000.

DOI:10.1080/17513758.2020.1773000
PMID:32498655
Abstract

We formulate a deterministic epidemic model for the spread of Corona Virus Disease (COVID-19). We have included asymptomatic, quarantine and isolation compartments in the model, as studies have stressed upon the importance of these population groups on the transmission of the disease. We calculate the basic reproduction number [Formula: see text] and show that for [Formula: see text] the disease dies out and for [Formula: see text] the disease is endemic. Using sensitivity analysis we establish that [Formula: see text] is most sensitive to the rate of quarantine and isolation and that a high level of quarantine needs to be maintained as well as isolation to control the disease. Based on this we devise optimal quarantine and isolation strategies, noting that high levels need to be maintained during the early stages of the outbreak. Using data from the Wuhan outbreak, which has nearly run its course we estimate that [Formula: see text] which while in agreement with other estimates in the literature is on the lower side.

摘要

我们构建了一个用于描述新冠病毒疾病(COVID-19)传播的确定性传染病模型。我们在模型中加入了无症状、隔离和检疫人群,因为研究强调了这些人群对疾病传播的重要性。我们计算了基本再生数[Formula: see text],结果表明当[Formula: see text]时疾病会消失,当[Formula: see text]时疾病会流行。通过敏感性分析,我们确定[Formula: see text]对隔离和检疫的速度最敏感,需要保持高水平的隔离和检疫以控制疾病。基于此,我们设计了最优的隔离和检疫策略,注意到在疫情爆发的早期阶段需要保持高水平。使用来自武汉疫情的数据,我们估计[Formula: see text],这与文献中的其他估计值一致,但处于较低水平。

相似文献

1
The role of asymptomatic class, quarantine and isolation in the transmission of COVID-19.无症状感染者的分类、隔离和检疫在新冠病毒传播中的作用。
J Biol Dyn. 2020 Dec;14(1):389-408. doi: 10.1080/17513758.2020.1773000.
2
Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data.从早期数据预测中国 COVID-19 疫情的累计病例数。
Math Biosci Eng. 2020 Apr 8;17(4):3040-3051. doi: 10.3934/mbe.2020172.
3
Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak.协调基本繁殖数及其不确定性的早期暴发估计:新型冠状病毒(SARS-CoV-2)暴发的框架和应用。
J R Soc Interface. 2020 Jul;17(168):20200144. doi: 10.1098/rsif.2020.0144. Epub 2020 Jul 22.
4
Mathematical modeling of COVID-19 transmission: the roles of intervention strategies and lockdown.新冠病毒传播的数学建模:干预策略和封锁的作用。
Math Biosci Eng. 2020 Sep 10;17(5):5961-5986. doi: 10.3934/mbe.2020318.
5
Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China.建立模型并评估医疗资源对中国武汉新型冠状病毒(COVID-19)传播的影响。
Math Biosci Eng. 2020 Mar 30;17(4):2936-2949. doi: 10.3934/mbe.2020165.
6
Modeling the transmission dynamics and the impact of the control interventions for the COVID-19 epidemic outbreak.建立 COVID-19 疫情传播动力学模型及控制干预措施的影响。
Math Biosci Eng. 2020 Jun 15;17(4):4165-4183. doi: 10.3934/mbe.2020231.
7
Effects of Latency on Estimates of the COVID-19 Replication Number.潜伏期对新冠病毒复制数估计的影响。
Bull Math Biol. 2020 Aug 20;82(9):114. doi: 10.1007/s11538-020-00791-2.
8
Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study.干预措施以减轻 SARS-CoV-2 在新加坡的早期传播:一项建模研究。
Lancet Infect Dis. 2020 Jun;20(6):678-688. doi: 10.1016/S1473-3099(20)30162-6. Epub 2020 Mar 23.
9
Epidemic curve and reproduction number of COVID-19 in Iran.伊朗新冠肺炎疫情曲线及再生数
J Travel Med. 2020 Aug 20;27(5). doi: 10.1093/jtm/taaa077.
10
Modeling analysis of COVID-19 based on morbidity data in Anhui, China.基于中国安徽发病数据的 COVID-19 建模分析。
Math Biosci Eng. 2020 Mar 25;17(4):2842-2852. doi: 10.3934/mbe.2020158.

引用本文的文献

1
Muhammadiyah's COVID-19: Combining Islamic, Psychological, and Medical Approach in Indonesia.穆罕默迪亚应对新冠疫情:印度尼西亚的伊斯兰教、心理学与医学相结合的方法
J Relig Health. 2025 Feb 20. doi: 10.1007/s10943-024-02194-2.
2
An Integrated Framework for Infectious Disease Control Using Mathematical Modeling and Deep Learning.一种使用数学建模和深度学习的传染病控制综合框架。
IEEE Open J Eng Med Biol. 2024 Sep 9;6:41-53. doi: 10.1109/OJEMB.2024.3455801. eCollection 2025.
3
A six-compartment model for COVID-19 with transmission dynamics and public health strategies.
具有传播动态和公共卫生策略的 COVID-19 六 compartment 模型。
Sci Rep. 2024 Sep 27;14(1):22226. doi: 10.1038/s41598-024-72487-9.
4
Comparative efficacy and safety of anti-infective drugs for patients with mild to severe COVID-19: A systematic review and network meta-analysis of randomized controlled trials.抗微生物药物治疗轻至重度新型冠状病毒肺炎患者的疗效和安全性比较:一项随机对照试验的系统评价和网状Meta分析
Ethiop Med J. 2023 Apr;61(2):171-188. Epub 2023 Apr 1.
5
Cost-effectiveness analysis of COVID-19 intervention policies using a mathematical model: an optimal control approach.使用数学模型对 COVID-19 干预政策进行成本效益分析:最优控制方法。
Sci Rep. 2024 Jan 4;14(1):494. doi: 10.1038/s41598-023-50799-6.
6
Security or severity? A research of COVID-19 pandemic control policy based on nonlinear programming approach.安全还是严峻性?基于非线性规划方法的新冠疫情防控政策研究
Heliyon. 2023 Nov 7;9(11):e21080. doi: 10.1016/j.heliyon.2023.e21080. eCollection 2023 Nov.
7
A multi-strain model with asymptomatic transmission: Application to COVID-19 in the US.具有无症状传播的多菌株模型:在 COVID-19 于美国的应用。
J Theor Biol. 2023 May 21;565:111468. doi: 10.1016/j.jtbi.2023.111468. Epub 2023 Mar 20.
8
Mathematical analysis of the impact of the media coverage in mitigating the outbreak of COVID-19.媒体报道对缓解新冠疫情影响的数学分析。
Math Comput Simul. 2023 Mar;205:600-618. doi: 10.1016/j.matcom.2022.10.017. Epub 2022 Oct 22.
9
Impact of COVID-19 on Intracranial Meningioma Resection: Results from California State Inpatient Database.新型冠状病毒肺炎对颅内脑膜瘤切除术的影响:来自加利福尼亚州住院患者数据库的结果
Cancers (Basel). 2022 Sep 30;14(19):4785. doi: 10.3390/cancers14194785.
10
Non-Adherence to Preventive Behaviors and the Risk of COVID-19: A Comparative Study.不遵守预防行为与 COVID-19 风险:一项比较研究。
Med J Islam Repub Iran. 2022 Jun 21;36:67. doi: 10.47176/mjiri.36.67. eCollection 2022.