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中国湖南省 2009-2019 年百日咳的时空分析。

Spatiotemporal analysis of pertussis in Hunan Province, China, 2009-2019.

机构信息

Changsha Center for Disease Control and Prevention, Changsha, Hunan, China.

School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

出版信息

BMJ Open. 2022 Sep 8;12(9):e055581. doi: 10.1136/bmjopen-2021-055581.

Abstract

OBJECTIVES

This study aims to explore the spatial and spatiotemporal distribution of pertussis in Hunan Province, and provide a scientific basis for targeting preventive measures in areas with a high incidence of pertussis.

DESIGN

In this retrospective spatial and spatiotemporal (ecological) study, the surveillance and population data of Hunan Province from 2009 to 2019 were analysed. The ArcGIS V.10.3 software was used for spatial autocorrelation analysis and visual display, and SaTScan V.9.6 software was used for statistical analysis of spatiotemporal scan data.

SETTINGS

Confirmed and suspected pertussis cases with current addresses in Hunan Province and onset dates between 1 January 2009 and 31 December 2019 were included in the study.

PARTICIPANTS

The study used aggregated data, including 6796 confirmed and suspected pertussis cases.

RESULTS

The seasonal peak occurred between March and September, and scattered children were at high risk. The global Moran's I was between 0.107 and 0.341 (p<0.05), which indicated that the incidence of pertussis in Hunan had a positive spatial autocorrelation. The results of local indicators of spatial autocorrelation analysis showed that the hot spots were mainly distributed in the northeast region of Hunan Province. Moreover, both purely space and spatiotemporal scans showed that the central and northeastern parts were the most likely cluster areas with an epidemic period between March and October in 2018 and 2019.

CONCLUSION

The distribution of the pertussis epidemic in Hunan Province from 2009 to 2019 shows spatiotemporal clustering. The clustering areas of the pertussis epidemic were concentrated in the central and northeastern parts of Hunan Province between March and October 2018 and 2019. In areas with low pertussis incidence, the strengthening of the monitoring system may reduce under-reporting. In areas with high pertussis incidence where we could study whether the genes of endemic pertussis strains are mutated and differ from vaccine strains.

摘要

目的

本研究旨在探讨湖南省百日咳的空间和时空分布,为高发病率地区的针对性预防措施提供科学依据。

设计

本回顾性空间和时空(生态)研究分析了 2009 年至 2019 年湖南省的监测和人口数据。使用 ArcGIS V.10.3 软件进行空间自相关分析和可视化展示,使用 SaTScan V.9.6 软件进行时空扫描数据的统计分析。

设置

纳入研究的是湖南省有现住址且发病日期在 2009 年 1 月 1 日至 2019 年 12 月 31 日之间的确诊和疑似百日咳病例。

参与者

本研究使用了包括 6796 例确诊和疑似百日咳病例的汇总数据。

结果

季节性高峰出现在 3 月至 9 月之间,散居儿童处于高风险状态。全局 Moran's I 在 0.107 至 0.341 之间(p<0.05),表明湖南省百日咳发病率存在正空间自相关。局部空间自相关分析结果表明,热点主要分布在湖南省东北部地区。此外,纯空间和时空扫描均显示,2018 年和 2019 年 3 月至 10 月期间,中部和东北部是最有可能出现疫情的集群区域。

结论

2009 年至 2019 年湖南省百日咳流行的分布呈现时空聚集性。百日咳流行的聚集区集中在湖南省中部和东北部,2018 年和 2019 年 3 月至 10 月期间。在百日咳发病率较低的地区,加强监测系统可能会减少漏报。在百日咳发病率较高的地区,可以研究地方性百日咳菌株的基因是否发生突变,与疫苗菌株是否不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/791b/9462112/2395438ac93d/bmjopen-2021-055581f01.jpg

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