• 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

混沌随机性:流行病中普遍存在的不可预测性来源。

Chaotic stochasticity: a ubiquitous source of unpredictability in epidemics.

作者信息

Rand D A, Wilson H B

机构信息

Arbeitsgruppe Theoretische Okologie, Forschungszentrum Jülich, F.R.G.

出版信息

Proc Biol Sci. 1991 Nov 22;246(1316):179-84. doi: 10.1098/rspb.1991.0142.

DOI:10.1098/rspb.1991.0142
PMID:1685243
Abstract

We address the question of whether or not childhood epidemics such as measles and chickenpox are chaotic, and argue that the best explanation of the observed unpredictability is that it is a manifestation of what we call chaotic stochasticity. Such chaos is driven and made permanent by the fluctuations from the mean field encountered in epidemics, or by extrinsic stochastic noise, and is dependent upon the existence of chaotic repellors in the mean field dynamics. Its existence is also a consequence of the near extinctions in the epidemic. For such systems, chaotic stochasticity is likely to be far more ubiquitous than the presence of deterministic chaotic attractors. It is likely to be a common phenomenon in biological dynamics.

摘要

我们探讨了诸如麻疹和水痘等儿童期流行病是否具有混沌性这一问题,并认为对所观察到的不可预测性的最佳解释是,它是我们所称的混沌随机性的一种表现。这种混沌是由流行病中平均场的波动或外在随机噪声驱动并使其持久存在的,并且依赖于平均场动力学中混沌排斥子的存在。它的存在也是流行病中近乎灭绝的结果。对于此类系统,混沌随机性可能比确定性混沌吸引子的存在更为普遍。它很可能是生物动力学中的一种常见现象。

相似文献

1
Chaotic stochasticity: a ubiquitous source of unpredictability in epidemics.混沌随机性:流行病中普遍存在的不可预测性来源。
Proc Biol Sci. 1991 Nov 22;246(1316):179-84. doi: 10.1098/rspb.1991.0142.
2
Revisited measles and chickenpox dynamics through orthogonal transformation.通过正交变换重新审视麻疹和水痘动态。
J Theor Biol. 1999 Mar 21;197(2):163-74. doi: 10.1006/jtbi.1998.0865.
3
Exciting chaos with noise: unexpected dynamics in epidemic outbreaks.用噪声激发混乱:传染病爆发中的意外动态
J Math Biol. 2002 Jan;44(1):31-48. doi: 10.1007/s002850100110.
4
The case for chaos in childhood epidemics. II. Predicting historical epidemics from mathematical models.
Proc Biol Sci. 1993 Dec 22;254(1341):257-73. doi: 10.1098/rspb.1993.0155.
5
Chaos versus noisy periodicity: alternative hypotheses for childhood epidemics.混沌与噪声周期性:儿童期流行病的不同假说
Science. 1990 Aug 3;249(4968):499-504. doi: 10.1126/science.2382131.
6
Transients and attractors in epidemics.流行病中的瞬态和吸引子。
Proc Biol Sci. 2003 Aug 7;270(1524):1573-8. doi: 10.1098/rspb.2003.2410.
7
Stochastic amplification in an epidemic model with seasonal forcing.具有季节强迫的传染病模型中的随机放大。
J Theor Biol. 2010 Nov 7;267(1):85-94. doi: 10.1016/j.jtbi.2010.08.014. Epub 2010 Aug 17.
8
Stochastic effects in a seasonally forced epidemic model.季节性强迫流行模型中的随机效应。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Oct;82(4 Pt 1):041906. doi: 10.1103/PhysRevE.82.041906. Epub 2010 Oct 6.
9
A scaling analysis of measles epidemics in a small population.小群体中麻疹流行的标度分析。
Philos Trans R Soc Lond B Biol Sci. 1996 Dec 29;351(1348):1679-88. doi: 10.1098/rstb.1996.0150.
10
Persistent Chaos of Measles Epidemics in the Prevaccination United States Caused by a Small Change in Seasonal Transmission Patterns.疫苗接种前美国麻疹疫情持续混乱是由季节性传播模式的微小变化所致。
PLoS Comput Biol. 2016 Feb 4;12(2):e1004655. doi: 10.1371/journal.pcbi.1004655. eCollection 2016 Feb.

引用本文的文献

1
From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator.通过合成光遗传学振荡器调制时空模式从共振到混沌。
Nat Commun. 2024 Aug 23;15(1):7284. doi: 10.1038/s41467-024-51626-w.
2
Thresholds, bifurcation and chaos in biological phenomena: Comment on "Mathematical models for Dengue fever epidemiology: A 10-year systematic review" by M. Aguiar et al.生物现象中的阈值、分岔与混沌:评M. 阿吉亚尔等人的《登革热流行病学数学模型:十年系统综述》
Phys Life Rev. 2023 Mar;44:6-8. doi: 10.1016/j.plrev.2022.11.005. Epub 2022 Nov 24.
3
SPARSEMODr: Rapidly simulate spatially explicit and stochastic models of COVID-19 and other infectious diseases.
SPARSEMODr:快速模拟新冠病毒及其他传染病的空间明确且随机的模型。
Biol Methods Protoc. 2022 Sep 1;7(1):bpac022. doi: 10.1093/biomethods/bpac022. eCollection 2022.
4
How can contemporary climate research help understand epidemic dynamics? Ensemble approach and snapshot attractors.当代气候研究如何帮助理解传染病动力学?集合方法和快照吸引子。
J R Soc Interface. 2020 Dec;17(173):20200648. doi: 10.1098/rsif.2020.0648. Epub 2020 Dec 9.
5
Chaos in disease outbreaks among prey.猎物疾病爆发中的混沌。
Sci Rep. 2020 Mar 3;10(1):3907. doi: 10.1038/s41598-020-60945-z.
6
Long-term dynamics of measles in London: Titrating the impact of wars, the 1918 pandemic, and vaccination.伦敦麻疹的长期动态:权衡战争、1918 年大流行和疫苗接种的影响。
PLoS Comput Biol. 2019 Sep 12;15(9):e1007305. doi: 10.1371/journal.pcbi.1007305. eCollection 2019 Sep.
7
Limits to Causal Inference with State-Space Reconstruction for Infectious Disease.传染病状态空间重建因果推断的局限性
PLoS One. 2016 Dec 28;11(12):e0169050. doi: 10.1371/journal.pone.0169050. eCollection 2016.
8
Hybrid Markov chain models of S-I-R disease dynamics.S-I-R疾病动态的混合马尔可夫链模型
J Math Biol. 2017 Sep;75(3):521-541. doi: 10.1007/s00285-016-1085-2. Epub 2016 Dec 24.
9
Regular biennial cycles in epidemics caused by parametric resonance.由参数共振引起的流行病中的定期两年周期。
J Theor Biol. 2017 Feb 21;415:137-144. doi: 10.1016/j.jtbi.2016.12.013. Epub 2016 Dec 20.
10
Persistent Chaos of Measles Epidemics in the Prevaccination United States Caused by a Small Change in Seasonal Transmission Patterns.疫苗接种前美国麻疹疫情持续混乱是由季节性传播模式的微小变化所致。
PLoS Comput Biol. 2016 Feb 4;12(2):e1004655. doi: 10.1371/journal.pcbi.1004655. eCollection 2016 Feb.