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本文引用的文献

1
Bordetella holmesii in nasopharyngeal samples from Chilean patients with suspected Bordetella pertussis infection.来自智利疑似百日咳博德特氏菌感染患者鼻咽样本中的霍姆斯博德特氏菌
J Clin Microbiol. 2012 Apr;50(4):1505; author reply 1506. doi: 10.1128/JCM.06747-11.
2
Measured dynamic social contact patterns explain the spread of H1N1v influenza.测量动态社会接触模式可解释 H1N1v 流感的传播。
PLoS Comput Biol. 2012;8(3):e1002425. doi: 10.1371/journal.pcbi.1002425. Epub 2012 Mar 8.
3
Short-lived immunity against pertussis, age-specific routes of transmission, and the utility of a teenage booster vaccine.百日咳的短暂免疫力、特定年龄的传播途径,以及青少年加强疫苗的效用。
Vaccine. 2012 Jan 11;30(3):544-51. doi: 10.1016/j.vaccine.2011.11.065. Epub 2011 Nov 26.
4
The decline and resurgence of pertussis in the US.美国百日咳的衰退与再现。
Epidemics. 2011 Sep;3(3-4):183-8. doi: 10.1016/j.epidem.2011.10.001. Epub 2011 Oct 14.
5
Significant finding of Bordetella holmesii DNA in nasopharyngeal samples from French patients with suspected pertussis.从疑似百日咳的法国患者的鼻咽样本中发现博德特氏菌 DNA。
J Clin Microbiol. 2011 Dec;49(12):4347-8. doi: 10.1128/JCM.01272-11. Epub 2011 Oct 19.
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Whooping cough in Pakistan: Bordetella pertussis vs Bordetella parapertussis in 2005-2009.巴基斯坦的百日咳:2005 - 2009年百日咳博德特氏菌与副百日咳博德特氏菌的情况
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7
Natural immune boosting in pertussis dynamics and the potential for long-term vaccine failure.百日咳动力学中的自然免疫增强与长期疫苗失效的潜在风险
Proc Natl Acad Sci U S A. 2011 Apr 26;108(17):7259-64. doi: 10.1073/pnas.1014394108. Epub 2011 Mar 21.
8
Contact network structure explains the changing epidemiology of pertussis.接触网络结构解释了百日咳不断变化的流行病学。
Science. 2010 Nov 12;330(6006):982-5. doi: 10.1126/science.1194134.
9
Imperfect vaccine-induced immunity and whooping cough transmission to infants.不完善的疫苗诱导免疫和百日咳向婴儿的传播。
Vaccine. 2010 Dec 10;29(1):11-6. doi: 10.1016/j.vaccine.2010.10.029. Epub 2010 Oct 27.
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Statistical inference for noisy nonlinear ecological dynamic systems.噪声非线性生态动态系统的统计推断。
Nature. 2010 Aug 26;466(7310):1102-4. doi: 10.1038/nature09319. Epub 2010 Aug 11.

利用发病时间序列解析百日咳免疫和疫苗效力。

Resolving pertussis immunity and vaccine effectiveness using incidence time series.

机构信息

Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Expert Rev Vaccines. 2012 Nov;11(11):1319-29. doi: 10.1586/erv.12.109.

DOI:10.1586/erv.12.109
PMID:23249232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3595187/
Abstract

Resolving the long-term, population-level consequence of vaccine-induced immunity to pertussis is a key challenge for control strategies and vaccine development. Controlled vaccine efficacy studies provide invaluable information; however, they are limited in scope by their sample size and follow-up duration. Long-term time series of incidence data collected by public health institutions provide insight at a broader scale, especially when the data are spatially explicit and age stratified. By using modern ecological and statistical methodolgies, which are reviewed in this paper, new insights into the duration of transmission-blocking immunity and the age-specific patterns of transmission can be gained. Recent advances in computing power and statistical software development will increasingly make these methods available to public health practitioners, vaccine developers and academics alike.

摘要

解决由百日咳疫苗诱导的免疫的长期、人群水平后果是控制策略和疫苗开发的一个关键挑战。对照疫苗效力研究提供了非常有价值的信息;然而,由于样本量和随访时间的限制,其范围有限。公共卫生机构收集的长期时间序列发病率数据在更广泛的范围内提供了深入的见解,特别是当数据具有空间明确性和年龄分层时。通过使用本文中回顾的现代生态学和统计方法,可以深入了解阻断传播的免疫持续时间和特定年龄的传播模式。计算能力和统计软件的最新进展将使这些方法越来越多地为公共卫生从业人员、疫苗开发者和学者所掌握。