• 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

Dynamics of the COVID-19 basic reproduction numbers in different countries.

作者信息

Yue Tianxiang, Fan Bin, Zhao Yapeng, Wilson John P, Du Zhengping, Wang Qing, Yin Xiaozhe, Duan Xiaonan, Zhao Na, Fan Zemeng, Lin Hui, Zhou Chenghu

机构信息

State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Sci Bull (Beijing). 2021 Feb 15;66(3):229-232. doi: 10.1016/j.scib.2020.10.008. Epub 2020 Oct 15.

DOI:10.1016/j.scib.2020.10.008
PMID:33078079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7557808/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c1b/7557808/2c032c72c6e5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c1b/7557808/2c032c72c6e5/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c1b/7557808/2c032c72c6e5/gr1_lrg.jpg

相似文献

1
Dynamics of the COVID-19 basic reproduction numbers in different countries.不同国家新冠病毒基本再生数的动态变化
Sci Bull (Beijing). 2021 Feb 15;66(3):229-232. doi: 10.1016/j.scib.2020.10.008. Epub 2020 Oct 15.
2
[Estimating the basic reproduction number of COVID-19 in Wuhan, China].[估算中国武汉新冠病毒病的基本再生数]
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Apr 10;41(4):476-479. doi: 10.3760/cma.j.cn112338-20200210-00086.
3
Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries.51 个欧洲国家干预前后 COVID-19 基本再生数的基于数据的推断。
Swiss Med Wkly. 2020 Jul 10;150:w20313. doi: 10.4414/smw.2020.20313. eCollection 2020 Jul 13.
4
COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy.意大利马尔凯地区 COVID-19 爆发的繁殖数估计和预测。
Int J Infect Dis. 2020 Jul;96:327-333. doi: 10.1016/j.ijid.2020.05.029. Epub 2020 May 11.
5
[Epidemic dynamic model based evaluation of effectiveness of prevention and control strategies for COVID-19 in Ningbo].基于疫情动力学模型的宁波市新冠肺炎防控策略效果评估
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Oct 10;41(10):1606-1610. doi: 10.3760/cma.j.cn112338-20200311-00313.
6
[Study on assessing early epidemiological parameters of COVID-19 epidemic in China].[中国新冠疫情早期流行病学参数评估研究]
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Apr 10;41(4):461-465. doi: 10.3760/cma.j.cn112338-20200205-00069.
7
Reproduction ratio and growth rates: Measures for an unfolding pandemic.繁殖数和增长率：揭示大流行的指标。
PLoS One. 2020 Jul 23;15(7):e0236620. doi: 10.1371/journal.pone.0236620. eCollection 2020.
8
Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model.预测受 COVID-19 影响最严重的 15 个国家：高级自回归综合移动平均 (ARIMA) 模型。
JMIR Public Health Surveill. 2020 May 13;6(2):e19115. doi: 10.2196/19115.
9
Increased Intensity Of PCR Testing Reduced COVID-19 Transmission Within Countries During The First Pandemic Wave.在第一波大流行期间，增加聚合酶链反应（PCR）检测强度降低了各国国内的 COVID-19 传播。
Health Aff (Millwood). 2021 Jan;40(1):70-81. doi: 10.1377/hlthaff.2020.01409. Epub 2020 Dec 2.
10
Superspreading in early transmissions of COVID-19 in Indonesia.印尼 COVID-19 早期传播中的超级传播事件。
Sci Rep. 2020 Dec 28;10(1):22386. doi: 10.1038/s41598-020-79352-5.

引用本文的文献

1
Modeling the impact of hospitalization-induced behavioral changes on the spread of COVID-19 in New York City.模拟住院引起的行为变化对纽约市新冠病毒传播的影响。
Infect Dis Model. 2025 May 27;10(4):1055-1092. doi: 10.1016/j.idm.2025.05.001. eCollection 2025 Dec.
2
The fluctuation analysis of public opinion energy: Modeling social group opinion base on the event of social networks.舆情能量波动分析：基于社交网络事件的社会群体意见建模
Intell Syst Appl. 2022 May;14:200072. doi: 10.1016/j.iswa.2022.200072. Epub 2022 Mar 7.
3
Mathematical modeling to study the impact of immigration on the dynamics of the COVID-19 pandemic: A case study for Venezuela.

本文引用的文献

1
Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess".使用接触网络模型和 metropolis - 哈斯汀斯抽样法来重建新冠病毒在“钻石公主号”上的传播情况。
Sci Bull (Beijing). 2020 Aug 15;65(15):1297-1305. doi: 10.1016/j.scib.2020.04.043. Epub 2020 May 5.
2
A new approach to modeling the fade-out threshold of coronavirus disease.一种模拟冠状病毒病消退阈值的新方法。
Sci Bull (Beijing). 2020 Aug 15;65(15):1225-1227. doi: 10.1016/j.scib.2020.04.016. Epub 2020 Apr 13.
3
Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China.
运用数学模型研究移民对 COVID-19 大流行动态的影响：以委内瑞拉为例。
Spat Spatiotemporal Epidemiol. 2022 Nov;43:100532. doi: 10.1016/j.sste.2022.100532. Epub 2022 Aug 28.
4
The efficacy and safety of combined chinese herbal medicine and western medicine therapy for COVID-19: a systematic review and meta-analysis.中西医结合治疗新型冠状病毒肺炎的疗效与安全性：一项系统评价与Meta分析
Chin Med. 2022 Jun 21;17(1):77. doi: 10.1186/s13020-022-00600-z.
5
Modelling policy combinations of vaccination and transmission suppression of SARS-CoV-2 in Rio de Janeiro, Brazil.巴西里约热内卢SARS-CoV-2疫苗接种与传播抑制政策组合建模
Infect Dis Model. 2022 Mar;7(1):231-242. doi: 10.1016/j.idm.2021.12.007. Epub 2021 Dec 31.
6
A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea.韩国 COVID-19 疫情的多阶段 SEIR(D)模型。
Ann Med. 2021 Dec;53(1):1159-1169. doi: 10.1080/07853890.2021.1949490.
7
Modelling the SARS-CoV-2 outbreak: Assessing the usefulness of protective measures to reduce the pandemic at population level.模拟 SARS-CoV-2 爆发：评估防护措施在人群层面减少大流行的有效性。
Sci Total Environ. 2021 Oct 1;789:147816. doi: 10.1016/j.scitotenv.2021.147816. Epub 2021 May 21.
8
Educational Methods and Technological Innovations for Introductory Experiential Learning Given the Contact-Related Limitations Imposed by the SARS-CoV2/COVID-19 Pandemic.鉴于严重急性呼吸综合征冠状病毒2（SARS-CoV-2）/冠状病毒病（COVID-19）大流行带来的与接触相关的限制，针对入门级体验式学习的教育方法和技术创新
Pharmacy (Basel). 2021 Feb 25;9(1):47. doi: 10.3390/pharmacy9010047.
接触模式的改变塑造了中国 COVID-19 疫情的动态。
Science. 2020 Jun 26;368(6498):1481-1486. doi: 10.1126/science.abb8001. Epub 2020 Apr 29.
4
First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment.中国湖北省以外地区采取控制措施后第一波 COVID-19 的传染性和严重程度，以及第二波疫情情景规划：模型影响评估。
Lancet. 2020 Apr 25;395(10233):1382-1393. doi: 10.1016/S0140-6736(20)30746-7. Epub 2020 Apr 8.
5
Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China.公共卫生干预措施与中国武汉 COVID-19 疫情流行病学的关联。
JAMA. 2020 May 19;323(19):1915-1923. doi: 10.1001/jama.2020.6130.
6
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.量化 SARS-CoV-2 传播表明数字接触者追踪可控制疫情。
Science. 2020 May 8;368(6491). doi: 10.1126/science.abb6936. Epub 2020 Mar 31.
7
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.COVID-19 的传播和控制的早期动态：一项数学建模研究。
Lancet Infect Dis. 2020 May;20(5):553-558. doi: 10.1016/S1473-3099(20)30144-4. Epub 2020 Mar 11.
8
Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak.2019 年至 2020 年中国新型冠状病毒（2019-nCoV）基本繁殖数的初步估计：疫情早期的基于数据的分析。
Int J Infect Dis. 2020 Mar;92:214-217. doi: 10.1016/j.ijid.2020.01.050. Epub 2020 Jan 30.
9
Global dynamics of SIR model with switched transmission rate.具有切换传输率的 SIR 模型的全局动力学。
J Math Biol. 2020 Mar;80(4):1209-1233. doi: 10.1007/s00285-019-01460-2. Epub 2020 Jan 3.
10
Simple framework for real-time forecast in a data-limited situation: the Zika virus (ZIKV) outbreaks in Brazil from 2015 to 2016 as an example.简单的实时预测框架：以 2015 年至 2016 年巴西寨卡病毒（ZIKV）疫情爆发为例。
Parasit Vectors. 2019 Jul 12;12(1):344. doi: 10.1186/s13071-019-3602-9.