福建省2014―2020年恙虫病流行特征和时空聚集性

曾志伟; 祝寒松; 韩腾伟; 刘维俊; 刘菁; 肖方震; 周淑姮; 徐国英; 戴彦良; 王加熊

doi:10.16462/j.cnki.zhjbkz.2023.07.020

福建省2014―2020年恙虫病流行特征和时空聚集性

doi: 10.16462/j.cnki.zhjbkz.2023.07.020

1.
福建省疾病预防控制中心，福建省人兽共患病研究重点实验室，福州 350012
2.
厦门大学公共卫生学院，厦门 361104

基金项目:

福建省卫生健康科技计划 2020QNA019

详细信息

通讯作者:
曾志伟，E-mail：1348056889@qq.com

中图分类号: R376.2
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- 被引次数: 0
出版历程
- 收稿日期: 2022-02-24
- 修回日期: 2022-06-09
- 网络出版日期: 2023-08-08
- 刊出日期: 2023-07-10

Epidemiological characteristics and spatial-temporal clutering of scrub typhus in Fujian Province from 2014 to 2020

1.
Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou 350012, China
2.
School of Public Health, Xiamen University, Xiamen 361104, China

Funds:

Fujian Provincial Health Technology Plan 2020QNA019

More Information

Corresponding author: ZENG Zhiwei, E-mail: 1348056889@qq.com

摘要

摘要: 目的分析福建省2014―2020年恙虫病流行特征和时空聚集性，为制定防控策略提供依据。方法收集福建省2014―2020年通过中国疾病预防控制信息系统报告的恙虫病病例信息，采用WPS 2016、SPSS 20.0、ArcGIS 10.0、SaTScan 9.5等软件进行数据处理和统计分析，探索时空分布特征。结果 2014―2020年福建省共报告恙虫病病例8 595例，年均发病率为3.03/10万，病例主要集中在6―10月，病例集中于40~＜70岁(73.10%)，职业以农民为主(73.30%)。年均发病率最高的地区是南平市11.71/10万，发病率居前的县区为平和县(36.71/10万)、光泽县(31.28/10万)。时空扫描显示最大可能聚集区多达10个，以平和县为中心覆盖了6个县区。结论福建省恙虫病发病存在一定的时空聚集性，应加强对重点人群和重点地区的日常监测和病原检测工作，降低福建省恙虫病发病水平。
- 恙虫病 /
- 流行特征 /
- 时空聚集性 /
- 时空扫描
Abstract: Objective This study aimed to analyze the epidemiological characteristics and spatial distribution of scrub typhus in Fujian Province from 2014 to 2020, in order to provide evidence for the development of prevention and control measures. Methods The data on scrub typhus were collected through The China Disease Control and Prevention Information System to explore the spatial-temporal distribution characteristics in Fujian Province from 2014 to 2020. We used WPS 2016, SPSS 20.0, ArcGIS 10.0, and SaTScan 9.5 software for data processing and statistical analysis. Results From 2014 to 2020, 8 595 cases of scrub typhus were reported in Fujian, with an average annual incidence rate of 3.03/100 000. The cases were concentrated from June to October. The cases were mainly concentrated in the age group of 40- < 70 years old, accounting for 73.10%. Most patients were farmers, accounting for 73.30%. The highest incidence rate of scrub typhus was 11.71/100 000 in Nanping. The incidence was 36.71/100 000 in Pinghe, and 31.28/100 000 in Guangze, which were higher than in other counties. Temporal scanning showed that there were 10 clustering areas with the highest incidence, with the most significant cluster centered on Pinghe, encompassing six counties. Conclusions A certain characteristic of spatiotemporal clustering is shown in the scrub typhus incidence in Fujian. It is necessary to strengthen routine monitoring and pathogens detection of scrub typhus in the key populations and areas to reduce the incidence of scrub typhus.
- Scrub typhus /
- Epidemiological characteristics /
- Temporal-spatial clustering analysis /
- Spatial-temporal scanning

HTML全文

图 1 2014―2020年福建省恙虫病病例总体趋势

Figure 1. Overall trend in scrub typhus cases in Fujian Province from 2014 to 2020

下载: 全尺寸图片幻灯片

图 2 2014―2020年福建省恙虫病发病月份分布

Figure 2. Monthly distribution of scrub typhus in Fujian Province from 2014 to 2020

下载: 全尺寸图片幻灯片

图 3 2014―2020年福建省各地区恙虫病报告病例数分布

Figure 3. Regions distribution of scrub typhus cases in Fujian Province from 2014 to 2020

下载: 全尺寸图片幻灯片

图 4 2014―2020年福建省恙虫病发病年龄性别分布

Figure 4. Age and sex distribution of scrub typhus in Fujian Province from 2014 to 2020

下载: 全尺寸图片幻灯片

图 5 2014―2020年福建省恙虫病发病时空扫描分析

Figure 5. Spatio-temporal scanning analysis of scrub typhus cases in Fujian Province from 2014 to 2020

下载: 全尺寸图片幻灯片

表 1 2014―2020年福建省恙虫病发病数时空扫描

Table 1. Spatio-temporal scanning of scrub typhus cases in Fujian Province from 2014 to 2020

聚集分级 Cluster level	聚集时间 Cluster time	涉及县区数 Number of county	聚集中心 Cluster center	半径/km Radius/km	发病例数 Cases	期望发病例数 Expected cases	RR值 RR value	LLR值 LLR value	P值 P value
最大可能 The most possible	2015/06/02―2018/11/12	6	平和县 Pinghe County	45.15	1 733	314	6.66	1 670.96	< 0.001
	2017/05/22―2020/11/01	2	光泽县 Guangze County	27.23	452	48	9.83	617.28	< 0.001
	2017/05/22―2020/11/01	4	延平区 Yanping District	47.12	586	143	4.33	396.28	< 0.001
	2017/05/22―2020/11/01	1	松溪县 Songxi County	0	180	14	12.96	293.40	< 0.001
	2015/06/02―2018/11/12	2	武夷山市 Wuyi Mountain City	47.96	226	59	3.88	136.81	< 0.001
	2014/06/07―2014/10/04	6	同安区 Tong′an District	31.59	127	40	3.24	61.12	< 0.001
	2017/05/22―2020/11/01	2	上杭县 Shanghang County	32.60	179	71	2.55	58.11	< 0.001
	2016/05/27―2018/11/12	3	华安县 Hua′an County	47.82	104	49	2.14	23.46	< 0.001
	2017/06/21―2017/10/18	1	宁化县 Ninghua County	0	20	3	6.80	21.27	< 0.001
	2019/06/11―2020/12/31	1	福清市 Fuqing City	0	39	13	3.10	17.68	0.001
二级可能 The second possible	2016/06/26―2018/10/13	1	永定区 Yongding District	0	57	26	2.16	13.29	0.020
	2018/05/17―2018/09/13	3	泰宁县 Taining County	34.90	18	4	4.46	12.95	0.034
三级可能 The third possible	2014/06/07―2014/10/04	1	连江县 Lianjiang County	0	21	6	3.52	11.37	0.115
	2020/12/02―2020/12/31	1	福安市 Fu′an City	0	9	2	6.01	8.64	0.715

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