• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

研究干预措施、接触模式与 SARS-CoV-2 传染性之间的关系。

Investigating the relationship between interventions, contact patterns, and SARS-CoV-2 transmissibility.

机构信息

Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Covid Crisis Lab, Bocconi University, Italy; Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.

Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Department of Network and Data Science, Central European University, Wien, Austria.

出版信息

Epidemics. 2022 Sep;40:100601. doi: 10.1016/j.epidem.2022.100601. Epub 2022 Jun 17.

DOI:10.1016/j.epidem.2022.100601
PMID:35772295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9212945/
Abstract

BACKGROUND

After a rapid upsurge of COVID-19 cases in Italy during the fall of 2020, the government introduced a three-tiered restriction system aimed at increasing physical distancing. The Ministry of Health, after periodic epidemiological risk assessments, assigned a tier to each of the 21 Italian regions and autonomous provinces. It is still unclear to what extent these different sets of measures altered the number of daily interactions and the social mixing patterns.

METHODS AND FINDINGS

We conducted a survey between July 2020 and March 2021 to monitor changes in social contact patterns among individuals in the metropolitan city of Milan, Italy, which was hardly hit by the second wave of the COVID-19 pandemic. The number of daily contacts during periods characterized by different levels of restrictions was analyzed through negative binomial regression models and age-specific contact matrices were estimated under the different tiers of restrictions. By relying on the empirically estimated mixing patterns, we quantified relative changes in SARS-CoV-2 transmission potential associated with the different tiers. As tighter restrictions were implemented during the fall of 2020, a progressive reduction in the mean number of daily contacts recorded by study participants was observed: from 15.9 % under mild restrictions (yellow tier), to 41.8 % under strong restrictions (red tier). Higher restrictions levels were also found to increase the relative contribution of contacts occurring within the household. The SARS-CoV-2 reproduction number was estimated to decrease by 17.1 % (95 %CI: 1.5-30.1), 25.1 % (95 %CI: 13.0-36.0) and 44.7 % (95 %CI: 33.9-53.0) under the yellow, orange, and red tiers, respectively.

CONCLUSIONS

Our results give an important quantification of the expected contribution of different restriction levels in shaping social contacts and decreasing the transmission potential of SARS-CoV-2. These estimates can find an operational use in anticipating the effect that the implementation of these tiered restriction can have on SARS-CoV-2 reproduction number under an evolving epidemiological situation.

摘要

背景

2020 年秋季,意大利 COVID-19 病例迅速增加,政府推出了三级限制制度,旨在增加身体距离。卫生部在定期进行流行病学风险评估后,为意大利的 21 个地区和自治区分配了一个级别。目前尚不清楚这些不同的措施在多大程度上改变了每日互动的数量和社会混合模式。

方法和发现

我们在 2020 年 7 月至 2021 年 3 月期间进行了一项调查,以监测意大利米兰大都市区个体社会接触模式的变化,米兰在 COVID-19 疫情的第二波中几乎没有受到影响。通过负二项回归模型分析了在不同限制水平下,每天接触的次数,在不同的限制级别下,还估计了特定年龄的接触矩阵。通过依赖经验估计的混合模式,我们量化了与不同级别相关的 SARS-CoV-2 传播潜力的相对变化。随着 2020 年秋季限制措施的加强,研究参与者记录的每日平均接触次数逐渐减少:从轻度限制(黄色级别)下的 15.9%减少到严格限制(红色级别)下的 41.8%。较高的限制水平也被发现增加了家庭内发生的接触的相对贡献。估计 SARS-CoV-2 的繁殖数在黄色、橙色和红色级别下分别减少了 17.1%(95%CI:1.5-30.1)、25.1%(95%CI:13.0-36.0)和 44.7%(95%CI:33.9-53.0)。

结论

我们的结果对不同限制水平在塑造社会接触和降低 SARS-CoV-2 传播潜力方面的预期贡献进行了重要量化。这些估计可以在预测实施这些分层限制对 SARS-CoV-2 繁殖数的影响方面发挥作用,这在不断变化的流行病学情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/dc80ccc43425/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/5ea733126e76/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/33f09b3f41de/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/dc80ccc43425/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/5ea733126e76/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/33f09b3f41de/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b4/9212945/dc80ccc43425/gr3_lrg.jpg

相似文献

1
Investigating the relationship between interventions, contact patterns, and SARS-CoV-2 transmissibility.研究干预措施、接触模式与 SARS-CoV-2 传染性之间的关系。
Epidemics. 2022 Sep;40:100601. doi: 10.1016/j.epidem.2022.100601. Epub 2022 Jun 17.
2
Impact of tiered measures on social contact and mixing patterns of in Italy during the second wave of COVID-19.分层措施对意大利 COVID-19 第二波期间社会接触和混合模式的影响。
BMC Public Health. 2023 May 19;23(1):906. doi: 10.1186/s12889-023-15846-x.
3
SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach.意大利三级限制措施中 SARS-CoV-2 的传播与地区经济劣势:多层次方法。
BMC Public Health. 2023 Feb 14;23(1):329. doi: 10.1186/s12889-023-15246-1.
4
Impact of tiered restrictions on human activities and the epidemiology of the second wave of COVID-19 in Italy.分层限制对人类活动的影响和意大利第二波 COVID-19 流行病学。
Nat Commun. 2021 Jul 27;12(1):4570. doi: 10.1038/s41467-021-24832-z.
5
Social contact patterns during the early COVID-19 pandemic in Norway: insights from a panel study, April to September 2020.2020 年 4 月至 9 月挪威 COVID-19 大流行早期的社会接触模式:一项面板研究的见解。
BMC Public Health. 2024 May 29;24(1):1438. doi: 10.1186/s12889-024-18853-8.
6
Social contacts in Switzerland during the COVID-19 pandemic: Insights from the CoMix study.瑞士在 COVID-19 大流行期间的社会接触情况:来自 CoMix 研究的洞察。
Epidemics. 2024 Jun;47:100771. doi: 10.1016/j.epidem.2024.100771. Epub 2024 May 10.
7
Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted.量化 2020 年封锁解除后中国湖北省以外省份的人际混合模式。
BMC Infect Dis. 2022 May 21;22(1):483. doi: 10.1186/s12879-022-07455-7.
8
SARS-CoV-2 seroprevalence and transmission risk factors among high-risk close contacts: a retrospective cohort study.SARS-CoV-2 血清流行率和高危密切接触者的传播风险因素:一项回顾性队列研究。
Lancet Infect Dis. 2021 Mar;21(3):333-343. doi: 10.1016/S1473-3099(20)30833-1. Epub 2020 Nov 2.
9
Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study.家庭二次感染 COVID-19 的发生率及其在中国广州的相关决定因素:一项回顾性队列研究。
Lancet Infect Dis. 2020 Oct;20(10):1141-1150. doi: 10.1016/S1473-3099(20)30471-0. Epub 2020 Jun 17.
10
Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.2020 年 3 月至 2021 年 3 月期间,通过 CoMix 调查衡量的英格兰在 COVID-19 大流行期间社会接触的变化:一项重复横断面研究。
PLoS Med. 2022 Mar 1;19(3):e1003907. doi: 10.1371/journal.pmed.1003907. eCollection 2022 Mar.

引用本文的文献

1
Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout.评估新冠疫苗推出后首月内所引发的行为放松情况。
PLoS Comput Biol. 2025 Jul 7;21(7):e1013266. doi: 10.1371/journal.pcbi.1013266. eCollection 2025 Jul.
2
Comparative evaluation of behavioral epidemic models using COVID-19 data.利用新冠疫情数据对行为流行模型进行比较评估。
Proc Natl Acad Sci U S A. 2025 Jun 17;122(24):e2421993122. doi: 10.1073/pnas.2421993122. Epub 2025 Jun 12.
3
Potential physical distance in the open urban grey space of city counties in Poland and COVID-19 cases and deaths throughout the pandemic.

本文引用的文献

1
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data.基于接触者追踪数据估计 SARS-CoV-2 Alpha 和 Delta 变异株的潜伏期和代际时间。
Epidemiol Infect. 2022 Dec 16;151:e5. doi: 10.1017/S0950268822001947.
2
Intrinsic generation time of the SARS-CoV-2 Omicron variant: An observational study of household transmission.严重急性呼吸综合征冠状病毒2型奥密克戎变异株的固有代时:一项家庭传播的观察性研究。
Lancet Reg Health Eur. 2022 Aug;19:100446. doi: 10.1016/j.lanepe.2022.100446. Epub 2022 Jul 1.
3
Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.
波兰城市县开放城市灰色空间中的潜在物理距离与整个疫情期间的新冠病例及死亡情况。
Arch Public Health. 2025 Mar 25;83(1):80. doi: 10.1186/s13690-025-01563-x.
4
Assessing the role of children in the COVID-19 pandemic in Belgium using perturbation analysis.运用扰动分析评估比利时儿童在新冠疫情中的作用。
Nat Commun. 2025 Mar 5;16(1):2230. doi: 10.1038/s41467-025-57087-z.
5
Social contact patterns in South Korea: an analysis of a survey conducted in 2023-2024.韩国的社交接触模式:对2023年至2024年进行的一项调查的分析
BMC Infect Dis. 2025 Mar 1;25(1):295. doi: 10.1186/s12879-025-10706-y.
6
Effects of non-pharmaceutical interventions on COVID-19 transmission: rapid review of evidence from Italy, the United States, the United Kingdom, and China.非药物干预措施对 COVID-19 传播的影响:来自意大利、美国、英国和中国的证据快速审查。
Front Public Health. 2024 Oct 17;12:1426992. doi: 10.3389/fpubh.2024.1426992. eCollection 2024.
7
Contact behaviour before, during and after the COVID-19 pandemic in the Netherlands: evidence from contact surveys, 2016 to 2017 and 2020 to 2023.新冠疫情前后荷兰的接触行为:来自 2016 年至 2017 年和 2020 年至 2023 年接触调查的证据。
Euro Surveill. 2024 Oct;29(43). doi: 10.2807/1560-7917.ES.2024.29.43.2400143.
8
Social contact patterns following the COVID-19 pandemic: a snapshot of post-pandemic behaviour from the CoMix study.新冠肺炎疫情后的社会接触模式:CoMix 研究对疫情后行为的快照分析。
Epidemics. 2024 Sep;48:100778. doi: 10.1016/j.epidem.2024.100778. Epub 2024 Jun 29.
9
Population Behavior Changes Underlying Phasic Shifts of SARS-CoV-2 Exposure Settings Across 3 Omicron Epidemic Waves in Hong Kong: Prospective Cohort Study.人口行为变化是 SARS-CoV-2 暴露环境在香港 3 次奥密克戎疫情波次中阶段性转变的基础:前瞻性队列研究。
JMIR Public Health Surveill. 2024 Jun 19;10:e51498. doi: 10.2196/51498.
10
Importance of social inequalities to contact patterns, vaccine uptake, and epidemic dynamics.社会不平等对接触模式、疫苗接种率和疫情动态的重要性。
Nat Commun. 2024 May 16;15(1):4137. doi: 10.1038/s41467-024-48332-y.
2020 年 3 月至 2021 年 3 月期间,通过 CoMix 调查衡量的英格兰在 COVID-19 大流行期间社会接触的变化:一项重复横断面研究。
PLoS Med. 2022 Mar 1;19(3):e1003907. doi: 10.1371/journal.pmed.1003907. eCollection 2022 Mar.
4
Social contact patterns and implications for infectious disease transmission - a systematic review and meta-analysis of contact surveys.社交接触模式及其对传染病传播的影响——基于接触调查的系统评价和荟萃分析。
Elife. 2021 Nov 25;10:e70294. doi: 10.7554/eLife.70294.
5
The early phase of the COVID-19 epidemic in Lombardy, Italy.意大利伦巴第大区的 COVID-19 疫情早期阶段。
Epidemics. 2021 Dec;37:100528. doi: 10.1016/j.epidem.2021.100528. Epub 2021 Nov 20.
6
Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March-April 2020.物理距离策略对 SARS-CoV-2 传播相关社交接触的影响差异:来自 2020 年 3 月至 4 月跨国在线调查的证据。
BMJ Open. 2021 Oct 21;11(10):e050651. doi: 10.1136/bmjopen-2021-050651.
7
Rapid Review of Social Contact Patterns During the COVID-19 Pandemic.《COVID-19 大流行期间社会接触模式的快速回顾》
Epidemiology. 2021 Nov 1;32(6):781-791. doi: 10.1097/EDE.0000000000001412.
8
Impact of tiered restrictions on human activities and the epidemiology of the second wave of COVID-19 in Italy.分层限制对人类活动的影响和意大利第二波 COVID-19 流行病学。
Nat Commun. 2021 Jul 27;12(1):4570. doi: 10.1038/s41467-021-24832-z.
9
Social contact patterns among employees in 3 U.S. companies during early phases of the COVID-19 pandemic, April to June 2020.2020 年 4 月至 6 月,COVID-19 大流行早期 3 家美国公司员工的社会接触模式。
Epidemics. 2021 Sep;36:100481. doi: 10.1016/j.epidem.2021.100481. Epub 2021 Jun 17.
10
The impact of relaxing interventions on human contact patterns and SARS-CoV-2 transmission in China.放松干预措施对中国人际接触模式及新型冠状病毒传播的影响。
Sci Adv. 2021 May 7;7(19). doi: 10.1126/sciadv.abe2584. Print 2021 May.