• 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

随机社区动态、双峰性或有限疫苗接种下的 COVID-19 疫情控制。

Control of COVID-19 Outbreaks under Stochastic Community Dynamics, Bimodality, or Limited Vaccination.

机构信息

Theoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.

Institute of Biochemistry, Charité - Universitätsmedizin Berlin, Virchowweg 6, Berlin, 10117, Germany.

出版信息

Adv Sci (Weinh). 2022 Aug;9(23):e2200088. doi: 10.1002/advs.202200088. Epub 2022 May 23.

DOI:10.1002/advs.202200088
PMID:35607290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9348421/
Abstract

Reaching population immunity against COVID-19 is proving difficult even in countries with high vaccination levels. Thus, it is critical to identify limits of control and effective measures against future outbreaks. The effects of nonpharmaceutical interventions (NPIs) and vaccination strategies are analyzed with a detailed community-specific agent-based model (ABM). The authors demonstrate that the threshold for population immunity is not a unique number, but depends on the vaccination strategy. Prioritizing highly interactive people diminishes the risk for an infection wave, while prioritizing the elderly minimizes fatalities when vaccinations are low. Control over COVID-19 outbreaks requires adaptive combination of NPIs and targeted vaccination, exemplified for Germany for January-September 2021. Bimodality emerges from the heterogeneity and stochasticity of community-specific human-human interactions and infection networks, which can render the effects of limited NPIs uncertain. The authors' simulation platform can process and analyze dynamic COVID-19 epidemiological situations in diverse communities worldwide to predict pathways to population immunity even with limited vaccination.

摘要

在疫苗接种率较高的国家,实现对 COVID-19 的群体免疫也证明是困难的。因此,确定控制和有效应对未来疫情的极限措施至关重要。该研究利用详细的基于主体的特定于社区的模型(ABM)分析了非药物干预(NPI)和疫苗接种策略的效果。研究人员表明,群体免疫的阈值不是一个独特的数字,而是取决于疫苗接种策略。优先考虑高互动性人群可以降低感染浪潮的风险,而在疫苗接种率较低的情况下,优先考虑老年人则可以最大程度地减少死亡人数。控制 COVID-19 疫情需要对 NPI 和有针对性的疫苗接种进行自适应组合,这为 2021 年 1 月至 9 月的德国提供了例证。社区特定人际互动和感染网络的异质性和随机性产生了双峰性,这可能使有限 NPI 的效果变得不确定。研究人员的模拟平台可以处理和分析全球不同社区的动态 COVID-19 流行病学情况,即使在疫苗接种有限的情况下,也可以预测达到群体免疫的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/966aa7d0e2a1/ADVS-9-2200088-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/3801486b83a7/ADVS-9-2200088-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/ffe9e3f1b0df/ADVS-9-2200088-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/81997a0e493c/ADVS-9-2200088-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/5b4b1aef23f8/ADVS-9-2200088-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/966aa7d0e2a1/ADVS-9-2200088-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/3801486b83a7/ADVS-9-2200088-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/ffe9e3f1b0df/ADVS-9-2200088-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/81997a0e493c/ADVS-9-2200088-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/5b4b1aef23f8/ADVS-9-2200088-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a87/9376746/966aa7d0e2a1/ADVS-9-2200088-g002.jpg

相似文献

1
Control of COVID-19 Outbreaks under Stochastic Community Dynamics, Bimodality, or Limited Vaccination.随机社区动态、双峰性或有限疫苗接种下的 COVID-19 疫情控制。
Adv Sci (Weinh). 2022 Aug;9(23):e2200088. doi: 10.1002/advs.202200088. Epub 2022 May 23.
2
Impact of non-pharmaceutical interventions and vaccination on COVID-19 outbreaks in Nunavut, Canada: a Canadian Immunization Research Network (CIRN) study.加拿大努纳武特地区非药物干预和疫苗接种对 COVID-19 疫情的影响:加拿大免疫研究网络(CIRN)研究。
BMC Public Health. 2022 May 25;22(1):1042. doi: 10.1186/s12889-022-13432-1.
3
COVID-19 outbreaks in residential aged care facilities: an agent-based modeling study.基于代理的建模研究:老年人护理设施中的 COVID-19 疫情爆发。
Front Public Health. 2024 May 21;12:1344916. doi: 10.3389/fpubh.2024.1344916. eCollection 2024.
4
Despite vaccination, China needs non-pharmaceutical interventions to prevent widespread outbreaks of COVID-19 in 2021.尽管已经接种了疫苗,但中国仍需要采取非药物干预措施,以防止 2021 年 COVID-19 的广泛爆发。
Nat Hum Behav. 2021 Aug;5(8):1009-1020. doi: 10.1038/s41562-021-01155-z. Epub 2021 Jun 22.
5
Vaccination as an alternative to non-drug interventions to prevent local resurgence of COVID-19.疫苗接种作为非药物干预措施的替代方案,以预防 COVID-19 在当地的再次爆发。
Infect Dis Poverty. 2022 Mar 26;11(1):36. doi: 10.1186/s40249-022-00960-6.
6
Long-term benefits of nonpharmaceutical interventions for endemic infections are shaped by respiratory pathogen dynamics.非药物干预措施对地方病感染的长期效益受呼吸道病原体动态的影响。
Proc Natl Acad Sci U S A. 2022 Dec 6;119(49):e2208895119. doi: 10.1073/pnas.2208895119. Epub 2022 Nov 29.
7
Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories.厘清非药物干预措施和疫苗接种对欧洲 COVID-19 传播轨迹的变化影响。
Nat Commun. 2022 Jun 3;13(1):3106. doi: 10.1038/s41467-022-30897-1.
8
Vaccination strategy for preventing the spread of SARS-CoV-2 in the limited supply condition: A mathematical modeling study.在有限供应条件下预防 SARS-CoV-2 传播的疫苗接种策略:一项数学建模研究。
J Med Virol. 2022 Aug;94(8):3722-3730. doi: 10.1002/jmv.27783. Epub 2022 May 4.
9
Effects of vaccination on mitigating COVID-19 outbreaks: a conceptual modeling approach.接种疫苗对减轻 COVID-19 疫情的影响:概念建模方法。
Math Biosci Eng. 2023 Jan 4;20(3):4816-4837. doi: 10.3934/mbe.2023223.
10
COVID-19 Pandemic Response Simulation in a Large City: Impact of Nonpharmaceutical Interventions on Reopening Society.大城市中新冠疫情应对模拟:非药物干预措施对社会重启的影响
Med Decis Making. 2021 May;41(4):419-429. doi: 10.1177/0272989X211003081. Epub 2021 Mar 18.

引用本文的文献

1
A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization.一种基于网络的模型,用于通过贝叶斯优化评估针对新冠疫情的疫苗接种策略。
Chaos Solitons Fractals. 2024 Apr;181. doi: 10.1016/j.chaos.2024.114695. Epub 2024 Mar 14.
2
Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning.智能疫情防控:一种融合常微分方程和基于智能体模拟的混合模型,用于优化现实世界中的干预规划。
PLoS Comput Biol. 2025 May 8;21(5):e1013028. doi: 10.1371/journal.pcbi.1013028. eCollection 2025 May.
3
Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2.

本文引用的文献

1
Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold.个体对 SARS-CoV-2 的易感性或暴露程度的差异降低了群体免疫阈值。
J Theor Biol. 2022 May 7;540:111063. doi: 10.1016/j.jtbi.2022.111063. Epub 2022 Feb 18.
2
Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study.非药物干预措施、疫苗接种和 SARS-CoV-2 德尔塔变异株在英国:一项数学建模研究。
Lancet. 2021 Nov 13;398(10313):1825-1835. doi: 10.1016/S0140-6736(21)02276-5. Epub 2021 Oct 28.
3
Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data.
基于代理的建模来估计封锁场景和事件对 SARS-CoV-2 大流行的影响的实例。
Sci Rep. 2024 Jun 11;14(1):13391. doi: 10.1038/s41598-024-63795-1.
4
Uncertain SEIAR system dynamics modeling for improved community health management of respiratory virus diseases: A COVID-19 case study.用于改善呼吸道病毒疾病社区健康管理的不确定SEIAR系统动力学建模:以COVID-19为例
Heliyon. 2024 Jan 26;10(3):e24711. doi: 10.1016/j.heliyon.2024.e24711. eCollection 2024 Feb 15.
5
Modeling geographic vaccination strategies for COVID-19 in Norway.挪威的 COVID-19 地理疫苗接种策略建模。
PLoS Comput Biol. 2024 Jan 31;20(1):e1011426. doi: 10.1371/journal.pcbi.1011426. eCollection 2024 Jan.
6
Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics.利用真实世界的网络模型来模拟 COVID-19 动力学中居家限制、疫苗接种、社交距离和工作时间之间的权衡。
PeerJ. 2022 Dec 15;10:e14353. doi: 10.7717/peerj.14353. eCollection 2022.
通过将基于活动的建模、基于代理的模拟和移动电话数据相结合,预测城市环境中与 COVID-19 相关干预措施的效果。
PLoS One. 2021 Oct 28;16(10):e0259037. doi: 10.1371/journal.pone.0259037. eCollection 2021.
4
Comparative Effectiveness of Moderna, Pfizer-BioNTech, and Janssen (Johnson & Johnson) Vaccines in Preventing COVID-19 Hospitalizations Among Adults Without Immunocompromising Conditions - United States, March-August 2021.2021年3月至8月美国Moderna、辉瑞-生物科技公司和杨森(强生)疫苗在预防无免疫功能低下状况成年人新冠病毒肺炎住院方面的比较效果
MMWR Morb Mortal Wkly Rep. 2021 Sep 24;70(38):1337-1343. doi: 10.15585/mmwr.mm7038e1.
5
The reproductive number of the Delta variant of SARS-CoV-2 is far higher compared to the ancestral SARS-CoV-2 virus.与原始的 SARS-CoV-2 病毒相比,SARS-CoV-2 的 Delta 变体的繁殖数要高得多。
J Travel Med. 2021 Oct 11;28(7). doi: 10.1093/jtm/taab124.
6
How will mass-vaccination change COVID-19 lockdown requirements in Australia?大规模疫苗接种将如何改变澳大利亚针对新冠疫情的封锁要求?
Lancet Reg Health West Pac. 2021 Sep;14:100224. doi: 10.1016/j.lanwpc.2021.100224. Epub 2021 Jul 30.
7
Covasim: An agent-based model of COVID-19 dynamics and interventions.Covasim:一种基于代理的 COVID-19 动力学和干预措施模型。
PLoS Comput Biol. 2021 Jul 26;17(7):e1009149. doi: 10.1371/journal.pcbi.1009149. eCollection 2021 Jul.
8
Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant.Covid-19 疫苗对 B.1.617.2(德尔塔)变异株的有效性。
N Engl J Med. 2021 Aug 12;385(7):585-594. doi: 10.1056/NEJMoa2108891. Epub 2021 Jul 21.
9
Public mobility data enables COVID-19 forecasting and management at local and global scales.公共交通出行数据可助力于本地和全球范围内的 COVID-19 预测和管理。
Sci Rep. 2021 Jun 29;11(1):13531. doi: 10.1038/s41598-021-92892-8.
10
Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021.截至2021年6月,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变异株的传播性增加及其在全球的传播情况。
Euro Surveill. 2021 Jun;26(24). doi: 10.2807/1560-7917.ES.2021.26.24.2100509.