Suppr超能文献

英格兰和威尔士麻疹集合种群动态的实证决定因素

Empirical determinants of measles metapopulation dynamics in England and Wales.

作者信息

Finkenstädt B, Grenfell B

机构信息

Department of Zoology, University of Cambridge, UK.

出版信息

Proc Biol Sci. 1998 Feb 7;265(1392):211-20. doi: 10.1098/rspb.1998.0284.

Abstract

A key issue in metapopulation dynamics is the relative impact of internal patch dynamics and coupling between patches. This problem can be addressed by analysing large spatiotemporal data sets, recording the local and global dynamics of metapopulations. In this paper, we analyse the dynamics of measles meta-populations in a large spatiotemporal case notification data set, collected during the pre-vaccination era in England and Wales. Specifically, we use generalized linear statistical models to quantify the relative importance of local influences (birth rate and population size) and regional coupling on local epidemic dynamics. Apart from the proportional effect of local population size on case totals, the models indicate patterns of local and regional dynamic influences which depend on the current state of epidemics. Birth rate and geographic coupling are not associated with the size of major epidemics. By contrast, minor epidemics--and especially the incidence of local extinction of infection--are influenced both by birth rate and geographical coupling. Birth rate at a lag of four years provides the best fit, reflecting the delayed recruitment of susceptibles to school cohorts. A hierarchical index of spatial coupling to large centres provides the best spatial model. The model also indicates that minor epidemics and extinction patterns are more strongly influenced by this regional effect than the local impact of birth rate.

摘要

集合种群动态中的一个关键问题是内部斑块动态与斑块间耦合的相对影响。这个问题可以通过分析大型时空数据集来解决,这些数据集记录了集合种群的局部和全局动态。在本文中,我们分析了英格兰和威尔士疫苗接种前时代收集的大型时空病例通报数据集中麻疹集合种群的动态。具体来说,我们使用广义线性统计模型来量化局部影响(出生率和种群规模)和区域耦合对局部疫情动态的相对重要性。除了局部种群规模对病例总数的比例效应外,模型还显示了取决于当前疫情状态的局部和区域动态影响模式。出生率和地理耦合与重大疫情的规模无关。相比之下,小规模疫情——尤其是局部感染灭绝的发生率——受到出生率和地理耦合的影响。滞后四年的出生率拟合效果最佳,反映了易感人群进入学龄队列的延迟情况。与大型中心的空间耦合分层指数提供了最佳空间模型。该模型还表明,小规模疫情和灭绝模式受这种区域效应的影响比出生率的局部影响更强。

相似文献

1
Empirical determinants of measles metapopulation dynamics in England and Wales.
Proc Biol Sci. 1998 Feb 7;265(1392):211-20. doi: 10.1098/rspb.1998.0284.
2
A competing-risks model explains hierarchical spatial coupling of measles epidemics en route to national elimination.
Nat Ecol Evol. 2020 Jul;4(7):934-939. doi: 10.1038/s41559-020-1186-6. Epub 2020 Apr 27.
3
Measles metapopulation dynamics: a gravity model for epidemiological coupling and dynamics.
Am Nat. 2004 Aug;164(2):267-81. doi: 10.1086/422341. Epub 2004 Jul 8.
4
Patterns of density dependence in measles dynamics.
Proc Biol Sci. 1998 May 7;265(1398):753-62. doi: 10.1098/rspb.1998.0357.
5
Spatial heterogeneity, nonlinear dynamics and chaos in infectious diseases.
Stat Methods Med Res. 1995 Jun;4(2):160-83. doi: 10.1177/096228029500400205.
6
Travelling waves and spatial hierarchies in measles epidemics.
Nature. 2001 Dec 13;414(6865):716-23. doi: 10.1038/414716a.
7
Space, persistence and dynamics of measles epidemics.
Philos Trans R Soc Lond B Biol Sci. 1995 May 30;348(1325):309-20. doi: 10.1098/rstb.1995.0070.
8
Opposite patterns of synchrony in sympatric disease metapopulations.
Science. 1999 Oct 29;286(5441):968-71. doi: 10.1126/science.286.5441.968.
9
Predictability in a highly stochastic system: final size of measles epidemics in small populations.
J R Soc Interface. 2015 Jan 6;12(102):20141125. doi: 10.1098/rsif.2014.1125.
10
Measles on the edge: coastal heterogeneities and infection dynamics.
PLoS One. 2008 Apr 9;3(4):e1941. doi: 10.1371/journal.pone.0001941.

引用本文的文献

1
Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1.
Science. 2023 Jul 21;381(6655):336-343. doi: 10.1126/science.adg6605. Epub 2023 Jul 20.
2
Urban Scaling of Health Outcomes: a Scoping Review.
J Urban Health. 2022 Jun;99(3):409-426. doi: 10.1007/s11524-021-00577-4. Epub 2022 May 5.
3
Reconstructing the transmission dynamics of varicella in Japan: an elevation of age at infection.
PeerJ. 2022 Jan 19;10:e12767. doi: 10.7717/peerj.12767. eCollection 2022.
4
SARS-CoV-2 superspreading in cities vs the countryside.
APMIS. 2021 Jul;129(7):401-407. doi: 10.1111/apm.13120. Epub 2021 Feb 23.
5
Predicting re-emergence times of dengue epidemics at low reproductive numbers: DENV1 in Rio de Janeiro, 1986-1990.
J R Soc Interface. 2020 Jun;17(167):20200273. doi: 10.1098/rsif.2020.0273. Epub 2020 Jun 24.
6
Measles and the canonical path to elimination.
Science. 2019 May 10;364(6440):584-587. doi: 10.1126/science.aau6299.
7
Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals.
PLoS One. 2016 Dec 14;11(12):e0168127. doi: 10.1371/journal.pone.0168127. eCollection 2016.
8
Temporally Varying Relative Risks for Infectious Diseases: Implications for Infectious Disease Control.
Epidemiology. 2017 Jan;28(1):136-144. doi: 10.1097/EDE.0000000000000571.
9
The cohort effect in childhood disease dynamics.
J R Soc Interface. 2016 Jul;13(120). doi: 10.1098/rsif.2016.0156.
10
Periodicity, synchronization and persistence in pre-vaccination measles.
J R Soc Interface. 2016 Jun;13(119). doi: 10.1098/rsif.2016.0258.

本文引用的文献

1
Disease extinction and community size: modeling the persistence of measles.
Science. 1997 Jan 3;275(5296):65-7. doi: 10.1126/science.275.5296.65.
2
Explained variation for logistic regression.
Stat Med. 1996 Oct 15;15(19):1987-97. doi: 10.1002/(SICI)1097-0258(19961015)15:19<1987::AID-SIM318>3.0.CO;2-9.
3
Space, persistence and dynamics of measles epidemics.
Philos Trans R Soc Lond B Biol Sci. 1995 May 30;348(1325):309-20. doi: 10.1098/rstb.1995.0070.
4
A geographic gradient in small rodent density fluctuations: a statistical modelling approach.
Proc Biol Sci. 1995 Nov 22;262(1364):127-33. doi: 10.1098/rspb.1995.0186.
5
Chaos reduces species extinction by amplifying local population noise.
Nature. 1993 Jul 15;364(6434):229-32. doi: 10.1038/364229a0.
6
A structured epidemic model incorporating geographic mobility among regions.
Math Biosci. 1995 Jul-Aug;128(1-2):71-91. doi: 10.1016/0025-5564(94)00068-b.
7
Spatial heterogeneity, nonlinear dynamics and chaos in infectious diseases.
Stat Methods Med Res. 1995 Jun;4(2):160-83. doi: 10.1177/096228029500400205.
8
Measles in England and Wales--I: An analysis of factors underlying seasonal patterns.
Int J Epidemiol. 1982 Mar;11(1):5-14. doi: 10.1093/ije/11.1.5.
9
An age-structured model of pre- and post-vaccination measles transmission.
IMA J Math Appl Med Biol. 1984;1(2):169-91. doi: 10.1093/imammb/1.2.169.

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