Suppr超能文献

与 2020-2022 年威斯康星州戴恩县学龄儿童家庭为基础的前瞻性社区研究中 SARS-CoV-2 经三波传播相关的因素。

Factors Associated With Transmission Across Three Waves of SARS-CoV-2 in a Prospective Community-Based Study of Households With School-Aged Children-Dane County, Wisconsin, 2020-2022.

机构信息

Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin, USA.

Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin, USA.

出版信息

Influenza Other Respir Viruses. 2024 Nov;18(11):e70031. doi: 10.1111/irv.70031.

Abstract

BACKGROUND

Household transmission of SARS-CoV-2 is a driver of the ongoing COVID-19 pandemic. Understanding factors that contribute to secondary infection risks (SIRs) can define changing trends and inform public health policies.

METHODS

The ORegon CHild Absenteeism due to Respiratory Disease Study (ORCHARDS) prospectively monitors respiratory viruses within the Oregon School District (OSD) in southcentral Wisconsin. Households with students who had ≥ 2 respiratory symptoms were eligible and opted to participate in ORCHARDS. Between October 28, 2020, and May 16, 2022, all household members provided self-collected nasal specimens on days 0, 7, and 14 for SARS-CoV-2 detection using real-time reverse-transcription-polymerase chain reaction. We used logistic regression to investigate individual- and household-level characteristics associated with SARS-CoV-2 transmission.

RESULTS

Overall, 127 households comprising 572 individuals (48% female; 52% male; 0.4% nonbinary; 77% ≥ 18 years) had at least one detection of SARS-CoV-2. The overall SIR was 47% and decreased over time (pre-Delta = 72% [95% CI: 58%-83%]; Delta = 51% [40%-63%]; and Omicron = 41% [36%-47%]). Odds of household transmission were 63% lower during the Omicron period compared with the pre-Delta period (OR = 0.36 [95% CI: 0.13-0.94] p = 0.037). Greater household density (members/bedroom) was significantly associated with household transmission during the Omicron period (OR = 6.8, [2.19-21.37] p = 0.001). Index case age, illness severity, and individual symptoms were not significantly associated with odds of household transmission.

CONCLUSIONS

Greater household density was associated with a higher risk of SARS-CoV-2 transmission, but the risk declined over time with subsequent variants. Interplay between variants, prior infection, and individual/household factors may identify modifiable factors (e.g., behavior and vaccination) to reduce future transmission risk.

摘要

背景

家庭传播是导致当前 COVID-19 大流行的因素之一。了解导致二次感染风险(SIR)的因素可以确定变化趋势并为公共卫生政策提供信息。

方法

俄勒冈州儿童呼吸道疾病缺勤研究(ORCHARDS)前瞻性地监测威斯康星州中南部俄勒冈学区(OSD)内的呼吸道病毒。有≥2 种呼吸道症状的学生的家庭有资格并选择参加 ORCHARDS。从 2020 年 10 月 28 日至 2022 年 5 月 16 日,所有家庭成员在第 0、7 和 14 天自行采集鼻拭子,使用实时逆转录聚合酶链反应检测 SARS-CoV-2。我们使用逻辑回归来研究与 SARS-CoV-2 传播相关的个体和家庭特征。

结果

总体而言,共有 127 个家庭,包括 572 名成员(48%女性;52%男性;0.4%非二进制;77%≥18 岁)至少检测到一次 SARS-CoV-2。总体 SIR 为 47%,且随时间下降(Delta 前为 72%[95%CI:58%-83%];Delta 为 51%[40%-63%];Omicron 为 41%[36%-47%])。与 Delta 前时期相比,Omicron 时期家庭传播的可能性降低了 63%(OR=0.36[95%CI:0.13-0.94]p=0.037)。Omicron 期间,家庭密度(成员/卧室)较大与家庭传播显著相关(OR=6.8[2.19-21.37]p=0.001)。指数病例年龄、疾病严重程度和个体症状与家庭传播的几率无显著相关性。

结论

家庭密度较大与 SARS-CoV-2 传播风险增加相关,但随着后续变异株的出现,风险随时间下降。变异株、既往感染和个体/家庭因素之间的相互作用可能确定可改变的因素(例如行为和疫苗接种),以降低未来的传播风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ea1/11525035/24d390b109d4/IRV-18-e70031-g001.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