• 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

利用来自撒哈拉以南非洲国家布基纳法索的接触数据估计 COVID-19 暴发的连续间隔和有效繁殖数。

Estimation of the Serial Interval and the Effective Reproductive Number of COVID-19 Outbreak Using Contact Data in Burkina Faso, a Sub-Saharan African Country.

机构信息

UFR-Sciences Exactes et Appliquées, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso.

Centre Muraz, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.

出版信息

Comput Math Methods Med. 2022 Sep 25;2022:8239915. doi: 10.1155/2022/8239915. eCollection 2022.

DOI:10.1155/2022/8239915
PMID:36199779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9527438/
Abstract

The COVID-19 outbreak has spread all around the world in less than four months. However, the pattern of the epidemic was different according to the countries. We propose this paper to describe the transmission network and to estimate the serial interval and the reproductive number of the novel coronavirus disease (COVID-19) in Burkina Faso, a Sub-Saharan African country. Data from the COVID-19 response team was analyzed. Information on the 804 first detected cases were pulled together. From contact tracing information, 126 infector-infectee pairs were built. The principal infection clusters with their index cases were observed, principally the two major identified indexes in Burkina. However, the generations of infections were usually short (less than four). The serial interval was estimated to follow a gamma distribution with a shape parameter 1.04 (95% credibility interval: 0.69-1.57) and a scale parameter of 5.69 (95% credibility interval: 3.76-9.11). The basic reproductive number was estimated at 2.36 (95% confidence interval: 1.46-3.26). However, the effective reproductive number decreases very quickly, reaching a minimum value of 0.20 (95% confidence interval: 0.06-0.34). Estimated parameters are made available to monitor the outbreak in Sub-Saharan African countries. These show serial intervals like in the other continents but less infectiousness.

摘要

新冠疫情在不到四个月的时间里席卷了全球。然而,不同国家的疫情模式有所不同。我们提出这篇论文来描述新冠病毒在布基纳法索(撒哈拉以南非洲国家)的传播网络,并估计其序列间隔和基本再生数。我们分析了新冠疫情应对团队的数据,汇总了 804 例首例确诊病例的信息。通过接触者追踪信息,构建了 126 对感染者-感染源。观察到了主要的感染集群及其索引病例,主要是布基纳法索的两个主要确定指标。然而,感染的代际通常较短(不到四代)。序列间隔估计遵循伽马分布,形状参数为 1.04(95%置信区间:0.69-1.57),尺度参数为 5.69(95%置信区间:3.76-9.11)。基本再生数估计为 2.36(95%置信区间:1.46-3.26)。然而,有效再生数迅速下降,达到 0.20(95%置信区间:0.06-0.34)的最小值。提供了估计参数来监测撒哈拉以南非洲国家的疫情。这些参数显示序列间隔与其他大洲相似,但传染性较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/cb523e24c554/CMMM2022-8239915.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/0d73736c874b/CMMM2022-8239915.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/f90de4586480/CMMM2022-8239915.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/a235bbefa906/CMMM2022-8239915.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/dec35354d279/CMMM2022-8239915.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/cb523e24c554/CMMM2022-8239915.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/0d73736c874b/CMMM2022-8239915.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/f90de4586480/CMMM2022-8239915.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/a235bbefa906/CMMM2022-8239915.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/dec35354d279/CMMM2022-8239915.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c228/9527438/cb523e24c554/CMMM2022-8239915.005.jpg

相似文献

1
Estimation of the Serial Interval and the Effective Reproductive Number of COVID-19 Outbreak Using Contact Data in Burkina Faso, a Sub-Saharan African Country.利用来自撒哈拉以南非洲国家布基纳法索的接触数据估计 COVID-19 暴发的连续间隔和有效繁殖数。
Comput Math Methods Med. 2022 Sep 25;2022:8239915. doi: 10.1155/2022/8239915. eCollection 2022.
2
A Novel Tool for Real-time Estimation of Epidemiological Parameters of Communicable Diseases Using Contact-Tracing Data: Development and Deployment.一种利用接触者追踪数据实时估计传染病流行病学参数的新工具:开发与部署。
JMIR Public Health Surveill. 2022 May 31;8(5):e34438. doi: 10.2196/34438.
3
Estimation of the serial interval of monkeypox during the early outbreak in 2022.2022年猴痘疫情初期传播间隔的估计。
J Med Virol. 2023 Jan;95(1):e28248. doi: 10.1002/jmv.28248. Epub 2022 Nov 3.
4
Estimation of the serial interval and basic reproduction number of COVID-19 in Qom, Iran, and three other countries: A data-driven analysis in the early phase of the outbreak.伊朗库姆及其他三国 COVID-19 的序列间隔和基本繁殖数的估计:疫情早期基于数据的分析。
Transbound Emerg Dis. 2020 Nov;67(6):2860-2868. doi: 10.1111/tbed.13656. Epub 2020 Jun 16.
5
Seroprevalence of SARS-CoV-2 IgG and associated factors among people living with HIV over the first 12 months following the outbreak of COVID-19 in Burkina Faso, a sub-Saharan African country.布基纳法索 COVID-19 疫情爆发后 12 个月内,HIV 感染者中 SARS-CoV-2 IgG 的血清阳性率及其相关因素。
PLoS One. 2023 Jun 14;18(6):e0286665. doi: 10.1371/journal.pone.0286665. eCollection 2023.
6
A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy.撒哈拉以南非洲的新冠病毒监测系统:关于持续存在和传播以指导政策的建模研究
J Med Internet Res. 2020 Nov 19;22(11):e24248. doi: 10.2196/24248.
7
Clinical management and mortality among COVID-19 cases in sub-Saharan Africa: A retrospective study from Burkina Faso and simulated case analysis.撒哈拉以南非洲地区 COVID-19 病例的临床管理和死亡率:来自布基纳法索的回顾性研究和模拟病例分析。
Int J Infect Dis. 2020 Dec;101:194-200. doi: 10.1016/j.ijid.2020.09.1432. Epub 2020 Sep 26.
8
Retrospective estimation of the time-varying effective reproduction number for a COVID-19 outbreak in Shenyang, China: An observational study.回顾性估计中国沈阳 COVID-19 疫情的时变有效繁殖数:一项观察性研究。
Medicine (Baltimore). 2024 May 31;103(22):e38373. doi: 10.1097/MD.0000000000038373.
9
Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID- 19 in Ireland using contact tracing data.利用接触者追踪数据估算爱尔兰新冠病毒病的代间距和症状前传播事件比例
BMC Public Health. 2021 Apr 27;21(1):805. doi: 10.1186/s12889-021-10868-9.
10
Diagnostic serial interval as a novel indicator for contact tracing effectiveness exemplified with the SARS-CoV-2/COVID-19 outbreak in South Korea.以韩国 SARS-CoV-2/COVID-19 疫情为例,诊断间隔时间作为接触者追踪效果的新型指标。
Int J Infect Dis. 2020 Oct;99:346-351. doi: 10.1016/j.ijid.2020.07.068. Epub 2020 Aug 6.

引用本文的文献

1
Contact tracing strategies for infectious diseases: A systematic literature review.传染病接触者追踪策略:一项系统文献综述。
PLOS Glob Public Health. 2025 May 9;5(5):e0004579. doi: 10.1371/journal.pgph.0004579. eCollection 2025.
2
Contact tracing in Austria, Georgia, Kyrgyzstan, Ukraine, and Kosovo† during the COVID-19 pandemic: response review and good practices.奥地利、格鲁吉亚、吉尔吉斯斯坦、乌克兰和科索沃在 COVID-19 大流行期间的接触者追踪:应对措施回顾和良好做法。
Eur J Public Health. 2024 Apr 3;34(2):387-393. doi: 10.1093/eurpub/ckad217.
3
Accuracy of Inferences About the Reproductive Number and Superspreading Potential of SARS-CoV-2 with Incomplete Contact Tracing Data.

本文引用的文献

1
Multi-outputs Gaussian process for predicting Burkina Faso COVID-19 spread using correlations from the weather parameters.利用天气参数的相关性预测布基纳法索新冠疫情传播的多输出高斯过程
Infect Dis Model. 2022 Sep;7(3):448-462. doi: 10.1016/j.idm.2022.06.006. Epub 2022 Jul 9.
2
Modeling the Waves of Covid-19.建模新冠疫情的浪潮。
Acta Biotheor. 2021 Dec 27;70(1):8. doi: 10.1007/s10441-021-09428-w.
3
Serial intervals in SARS-CoV-2 B.1.617.2 variant cases.严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)B.1.617.2变异株病例的序列间隔时间
利用不完整接触追踪数据推断新冠病毒传播数和超级传播潜力的准确性
Res Sq. 2023 Dec 29:rs.3.rs-3760127. doi: 10.21203/rs.3.rs-3760127/v1.
4
Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis.评估关注的 SARS-CoV-2 变异株的潜伏期、序列间隔和代时变化:系统评价和荟萃分析。
BMC Med. 2023 Sep 29;21(1):374. doi: 10.1186/s12916-023-03070-8.
5
High stress related to COVID-19 among health workers in the Plateau Central healthcare region (BURKINA FASO): a cross-sectional study.高原中部卫生保健区(布基纳法索)卫生工作者与 COVID-19 相关的高压力:一项横断面研究。
Front Public Health. 2023 Jun 5;11:1162707. doi: 10.3389/fpubh.2023.1162707. eCollection 2023.
Lancet. 2021 Sep 4;398(10303):837-838. doi: 10.1016/S0140-6736(21)01697-4. Epub 2021 Aug 10.
4
Effect of Adjustment for Case Misclassification and Infection Date Uncertainty on Estimates of COVID-19 Effective Reproduction Number.病例误分类和感染日期不确定性调整对COVID-19有效繁殖数估计值的影响。
Epidemiology. 2021 Nov 1;32(6):800-806. doi: 10.1097/EDE.0000000000001402.
5
Modeling of fractional-order COVID-19 epidemic model with quarantine and social distancing.具有隔离和社交距离的分数阶COVID-19流行模型的建模
Math Methods Appl Sci. 2021 Jul 30;44(11):9334-9350. doi: 10.1002/mma.7360. Epub 2021 Mar 29.
6
Public healthcare system capacity during COVID-19: A computational case study of SARS-CoV-2.新冠疫情期间的公共医疗系统能力:一项关于严重急性呼吸综合征冠状病毒2的计算案例研究
Health Sci Rep. 2021 Jun 4;4(2):e305. doi: 10.1002/hsr2.305. eCollection 2021 Jun.
7
A compartmental model that predicts the effect of social distancing and vaccination on controlling COVID-19.一个 compartmental model 预测社交距离和疫苗接种对控制 COVID-19 的影响。
Sci Rep. 2021 Apr 14;11(1):8191. doi: 10.1038/s41598-021-86873-0.
8
Disease momentum: Estimating the reproduction number in the presence of superspreading.疾病动态:在存在超级传播的情况下估计繁殖数。
Infect Dis Model. 2021;6:706-728. doi: 10.1016/j.idm.2021.03.006. Epub 2021 Apr 2.
9
The first and second waves of the COVID-19 pandemic in Africa: a cross-sectional study.非洲的 COVID-19 大流行的第一波和第二波:一项横断面研究。
Lancet. 2021 Apr 3;397(10281):1265-1275. doi: 10.1016/S0140-6736(21)00632-2. Epub 2021 Mar 24.
10
Seroprevalence surveys in sub-Saharan Africa: what do they tell us?撒哈拉以南非洲地区的血清流行率调查:它们告诉了我们什么?
Lancet Glob Health. 2021 Jun;9(6):e724-e725. doi: 10.1016/S2214-109X(21)00092-9. Epub 2021 Mar 9.