Suppr超能文献

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.

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/c228/9527438/0d73736c874b/CMMM2022-8239915.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验