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日本 COVID-19 二次传播过度离散的时间趋势变化。

Decrease in overdispersed secondary transmission of COVID-19 over time in Japan.

机构信息

Osaka Institute of Public Health, Osaka, Japan.

Kyoto University School of Public Health, Kyoto, Japan.

出版信息

Epidemiol Infect. 2022 Nov 15;150:e197. doi: 10.1017/S0950268822001789.

DOI:10.1017/S0950268822001789
PMID:36377373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9744460/
Abstract

Coronavirus disease 2019 (COVID-19) has been described as having an overdispersed offspring distribution, i.e. high variation in the number of secondary transmissions of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) per single primary COVID-19 case. Accordingly, countermeasures focused on high-risk settings and contact tracing could efficiently reduce secondary transmissions. However, as variants of concern with elevated transmissibility continue to emerge, controlling COVID-19 with such focused approaches has become difficult. It is vital to quantify temporal variations in the offspring distribution dispersibility. Here, we investigated offspring distributions for periods when the ancestral variant was still dominant (summer, 2020; wave 2) and when Alpha variant (B.1.1.7) was prevailing (spring, 2021; wave 4). The dispersion parameter () was estimated by analysing contact tracing data and fitting a negative binomial distribution to empirically observed offspring distributions from Nagano, Japan. The offspring distribution was less dispersed in wave 4 ( = 0.32; 95% confidence interval (CI) 0.24-0.43) than in wave 2 ( = 0.21 (95% CI 0.13-0.36)). A high proportion of household transmission was observed in wave 4, although the proportion of secondary transmissions generating more than five secondary cases did not vary over time. With this decreased variation, the effectiveness of risk group-focused interventions may be diminished.

摘要

新型冠状病毒病 2019(COVID-19)被描述为具有离散的后代分布,即每例 COVID-19 原发感染中严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的二次传播数量存在很大差异。因此,针对高危环境和接触者追踪的对策可以有效地减少二次传播。然而,随着具有更高传染性的关注变体不断出现,使用这种有针对性的方法控制 COVID-19 变得困难。定量评估后代分布离散度的时间变化至关重要。在这里,我们研究了当祖先变体仍占主导地位(2020 年夏季;第 2 波)和 Alpha 变体(B.1.1.7)流行时(2021 年春季;第 4 波)的后代分布。通过分析接触者追踪数据并对从日本长野县观察到的后代分布进行负二项式分布拟合,估计了离散参数()。与第 2 波(=0.21(95%置信区间(CI)0.13-0.36))相比,第 4 波的后代分布分散程度较低(=0.32(95% CI 0.24-0.43))。第 4 波观察到家庭传播的比例较高,尽管产生超过 5 例继发感染的继发传播比例没有随时间变化。由于这种变异减少,以风险群体为重点的干预措施的有效性可能会降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/db0f81bfc14d/S0950268822001789_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/9c3603042d70/S0950268822001789_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/fb50216dafbd/S0950268822001789_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/3b8347ca1bf9/S0950268822001789_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/fe2bca7312c8/S0950268822001789_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/db0f81bfc14d/S0950268822001789_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/9c3603042d70/S0950268822001789_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/fb50216dafbd/S0950268822001789_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/3b8347ca1bf9/S0950268822001789_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/fe2bca7312c8/S0950268822001789_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7143/9744460/db0f81bfc14d/S0950268822001789_fig5.jpg

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