Suppr超能文献

新加坡针对 COVID-19 的遏制措施的有效性:对其他国家遏制努力的启示。

Effectiveness of Containment Measures Against COVID-19 in Singapore: Implications for Other National Containment Efforts.

机构信息

From the Ministry of Health, Singapore, Singapore.

Saw Swee Hock School of Public Health, National University of Singapore, Singapore.

出版信息

Epidemiology. 2021 Jan;32(1):79-86. doi: 10.1097/EDE.0000000000001257.

Abstract

BACKGROUND

We hypothesize that comprehensive surveillance of COVID-19 in Singapore has facilitated early case detection and prompt contact tracing and, with community-based measures, contained spread. We assessed the effectiveness of containment measures by estimating transmissibility (effective reproduction number, (Equation is included in full-text article.)) over the course of the outbreak.

METHODS

We used a Bayesian data augmentation framework to allocate infectors to infectees with no known infectors and determine serial interval distribution parameters via Markov chain Monte Carlo sampling. We fitted a smoothing spline to the number of secondary cases generated by each infector by respective onset dates to estimate (Equation is included in full-text article.)and evaluated increase in mean number of secondary cases per individual for each day's delay in starting isolation or quarantine.

RESULTS

As of April 1, 2020, 1000 COVID-19 cases were reported in Singapore. We estimated a mean serial interval of 4.6 days [95% credible interval (CI) = 4.2, 5.1] with a SD of 3.5 days (95% CI = 3.1, 4.0). The posterior mean (Equation is included in full-text article.)was below one for most of the time, peaking at 1.1 (95% CI = 1.0, 1.3) on week 9 of 2020 due to a spreading event in one of the clusters. Eight hundred twenty-seven (82.7%) of cases infected less than one person on average. Over an interval of 7 days, the incremental mean number of cases generated per individual for each day's delay in starting isolation or quarantine was 0.03 cases (95% CI = 0.02, 0.05).

CONCLUSIONS

We estimate that robust surveillance, active case detection, prompt contact tracing, and quarantine of close contacts kept (Equation is included in full-text article.)below one.

摘要

背景

我们假设新加坡对 COVID-19 的全面监测促进了早期病例的发现和及时的接触者追踪,并通过社区措施控制了传播。我们通过估计传染病的传染性(有效繁殖数,(方程式包含在全文中。))在疫情爆发期间来评估控制措施的有效性。

方法

我们使用贝叶斯数据增强框架,通过马尔可夫链蒙特卡罗抽样,将感染者分配给无已知感染者的感染者,并确定序列间隔分布参数。我们通过各自的发病日期对每个感染者产生的二次病例数量进行平滑样条拟合,以估计(方程式包含在全文中。)并评估每天延迟隔离或检疫开始时每个个体的二次病例平均数量的增加。

结果

截至 2020 年 4 月 1 日,新加坡报告了 1000 例 COVID-19 病例。我们估计平均序列间隔为 4.6 天[95%可信区间(CI)= 4.2,5.1],标准差为 3.5 天(95% CI = 3.1,4.0)。在后验平均值(方程式包含在全文中。)在大多数时间都低于 1,在 2020 年第 9 周达到 1.1(95% CI = 1.0,1.3)的峰值,这是由于一个集群中的一个传播事件。827(82.7%)例病例的平均感染人数少于 1 人。在 7 天的间隔内,每天延迟隔离或检疫开始时每个个体产生的增量平均病例数为 0.03 例(95% CI = 0.02,0.05)。

结论

我们估计强大的监测、主动病例发现、及时的接触者追踪和密切接触者的隔离使(方程式包含在全文中。)保持在 1 以下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c65/7707159/80075f2a7a6a/ede-32-079-g002.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