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英国一个正统犹太教社区中 SARS-CoV-2 的传播动态。

Transmission dynamics of SARS-CoV-2 in a strictly-Orthodox Jewish community in the UK.

机构信息

Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.

Department of Computer and Information Sciences, University of Strathclyde, Glasgow, Scotland, UK.

出版信息

Sci Rep. 2022 May 20;12(1):8550. doi: 10.1038/s41598-022-12517-6.

Abstract

Some social settings such as households and workplaces, have been identified as high risk for SARS-CoV-2 transmission. Identifying and quantifying the importance of these settings is critical for designing interventions. A tightly-knit religious community in the UK experienced a very large COVID-19 epidemic in 2020, reaching 64.3% seroprevalence within 10 months, and we surveyed this community both for serological status and individual-level attendance at particular settings. Using these data, and a network model of people and places represented as a stochastic graph rewriting system, we estimated the relative contribution of transmission in households, schools and religious institutions to the epidemic, and the relative risk of infection in each of these settings. All congregate settings were important for transmission, with some such as primary schools and places of worship having a higher share of transmission than others. We found that the model needed a higher general-community transmission rate for women (3.3-fold), and lower susceptibility to infection in children to recreate the observed serological data. The precise share of transmission in each place was related to assumptions about the internal structure of those places. Identification of key settings of transmission can allow public health interventions to be targeted at these locations.

摘要

一些社交场所,如家庭和工作场所,已被确定为 SARS-CoV-2 传播的高风险场所。确定和量化这些场所的重要性对于设计干预措施至关重要。2020 年,英国一个紧密的宗教社区经历了一场非常严重的 COVID-19 疫情,在 10 个月内血清阳性率达到 64.3%,我们对该社区进行了血清学状况和个人在特定场所的出勤情况调查。利用这些数据以及一个以随机图重写系统表示的人员和场所网络模型,我们估计了家庭、学校和宗教机构在疫情中的传播相对贡献,以及在这些场所感染的相对风险。所有聚集性场所的传播都很重要,其中一些场所,如小学和礼拜场所,其传播比例高于其他场所。我们发现,该模型需要一个更高的一般社区传播率(女性为 3.3 倍),以及儿童更低的感染易感性,才能重现观察到的血清学数据。每个场所的传播份额与这些场所内部结构的假设有关。确定关键的传播场所可以使公共卫生干预措施针对这些地点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe27/9123185/02fd2a168952/41598_2022_12517_Fig1_HTML.jpg

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