Suppr超能文献

2015 - 2016年季节性流感流行期间亚利桑那州凤凰城流感活动的同步性

Synchronicity of influenza activity within Phoenix, AZ during the 2015-2016 seasonal epidemic.

作者信息

Tamerius James, Steadman Jhobe, Tamerius John

机构信息

Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA, USA.

Quidel Inc., San Diego, CA, USA.

出版信息

BMC Infect Dis. 2017 Jan 31;17(1):109. doi: 10.1186/s12879-017-2197-z.

Abstract

BACKGROUND

Variability in the timing of influenza epidemics has been observed across global and regional scales, but this variability has not been studied extensively at finer spatial scales. As such, the aim of this study was to test whether influenza cases were synchronized across sites and/or age-groups within a major city.

METHODS

We used influenza cases identified by rapid influenza tests from a network of clinics across Phoenix, AZ during the 2015-2016 influenza A season. We used a combination of KS tests and a bootstrapping approach to evaluate whether the temporal distribution of cases varied by site and/or age group.

RESULTS

Our analysis indicates that the timing of influenza cases during the 2015-2016 seasonal influenza epidemic were generally synchronized across sites and age groups. That said, we did observe some statistically significant differences in the timing of cases across some sites, and by site and age group. We found no evidence that influenza activity consistently begins or peaks earlier in children than in adults.

CONCLUSIONS

To our knowledge, this is the first study to investigate differences in the intra-urban timing of influenza using influenza-specific case data. We were able to show evidence that influenza cases are not entirely synchronized across an urban area, but the differences we observed were relatively minor. It is important to understand the geographic scale at which influenza is synchronized in order to gain a better understanding of local transmission dynamics, and to determine the appropriate geographic scale that influenza surveillance data should be aggregated for prediction and warning systems.

摘要

背景

流感流行时间的变异性已在全球和区域尺度上被观察到,但在更精细的空间尺度上尚未得到广泛研究。因此,本研究的目的是测试一个大城市内各地点和/或年龄组的流感病例是否同步。

方法

我们使用了2015 - 2016年甲型流感季节期间亚利桑那州凤凰城各诊所网络通过快速流感检测确定的流感病例。我们结合使用柯尔莫哥洛夫 - 斯米尔诺夫检验(KS检验)和自抽样法来评估病例的时间分布是否因地点和/或年龄组而异。

结果

我们的分析表明,2015 - 2016年季节性流感流行期间流感病例的时间在各地点和年龄组之间总体上是同步的。也就是说,我们确实观察到部分地点之间以及按地点和年龄组划分的病例时间存在一些具有统计学意义的差异。我们没有发现证据表明儿童的流感活动始终比成人更早开始或达到高峰。

结论

据我们所知,这是第一项使用流感特异性病例数据调查城市内部流感时间差异的研究。我们能够证明流感病例在城市地区并非完全同步,但我们观察到的差异相对较小。了解流感同步的地理尺度对于更好地理解本地传播动态以及确定流感监测数据应汇总的适当地理尺度以用于预测和预警系统非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cdf/5286821/65f38c1e2b09/12879_2017_2197_Fig1_HTML.jpg

相似文献

1
Synchronicity of influenza activity within Phoenix, AZ during the 2015-2016 seasonal epidemic.
BMC Infect Dis. 2017 Jan 31;17(1):109. doi: 10.1186/s12879-017-2197-z.
3
Modeling and statistical analysis of the spatio-temporal patterns of seasonal influenza in Israel.
PLoS One. 2012;7(10):e45107. doi: 10.1371/journal.pone.0045107. Epub 2012 Oct 8.
5
Characterization of influenza seasonality in China, 2010-2018: Implications for seasonal influenza vaccination timing.
Influenza Other Respir Viruses. 2022 Nov;16(6):1161-1171. doi: 10.1111/irv.13047. Epub 2022 Sep 5.
6
Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark.
PLoS One. 2018 May 17;13(5):e0197519. doi: 10.1371/journal.pone.0197519. eCollection 2018.
7
8
Spatial and temporal dynamics of influenza outbreaks.
Epidemiology. 2008 Nov;19(6):824-8. doi: 10.1097/EDE.0b013e3181880eda.

引用本文的文献

本文引用的文献

1
Potent protection against H5N1 and H7N9 influenza via childhood hemagglutinin imprinting.
Science. 2016 Nov 11;354(6313):722-726. doi: 10.1126/science.aag1322.
2
Relative timing of influenza disease by age group.
Vaccine. 2014 Nov 12;32(48):6451-6. doi: 10.1016/j.vaccine.2014.09.047. Epub 2014 Oct 1.
3
Social mixing patterns in rural and urban areas of southern China.
Proc Biol Sci. 2014 Apr 30;281(1785):20140268. doi: 10.1098/rspb.2014.0268. Print 2014 Jun 22.
4
Determining the dynamics of influenza transmission by age.
Emerg Themes Epidemiol. 2014 Mar 21;11(1):4. doi: 10.1186/1742-7622-11-4.
6
Patterns of spread of influenza A in Canada.
Proc Biol Sci. 2013 Sep 11;280(1770):20131174. doi: 10.1098/rspb.2013.1174. Print 2013 Nov 7.

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