切换至 "中华医学电子期刊资源库"

中华卫生应急电子杂志 ›› 2016, Vol. 02 ›› Issue (04) : 223 -229. doi: 10.3877/cma.j.issn.2095-9133.2016.04.006

所属专题: 文献

论著

2006至2015年南京市猩红热流行病学特征分析
马涛1, 洪镭2, 林丹3, 丰罗菊2, 周蕾4, 马会来4, 祖荣强5, 谢国祥2,()   
  1. 1. 210003 南京市疾病预防控制中心;100050 北京,中国疾病预防控制中心 中国现场流行病学培训项目
    2. 210003 南京市疾病预防控制中心
    3. 100050 北京,中国疾病预防控制中心 中国现场流行病学培训项目;350001 福州,福建省疾病预防控制中心
    4. 102206 北京,中国疾病预防控制中心
    5. 210009 南京,江苏省疾病预防控制中心
  • 收稿日期:2016-07-21 出版日期:2016-08-18
  • 通信作者: 谢国祥

Epidemiological characteristics of scarlet fever in Nanjing during 2006-2015

Tao Ma1, Lei Hong2, Dan Lin3, Luoju Feng2, Lei Zhou4, Huilai Ma4, Rongqiang Zu5, Guoxiang Xie2,()   

  1. 1. Nanjing Center for Disease Control and Prevention, Nanjing 210003, China; Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
    2. Nanjing Center for Disease Control and Prevention, Nanjing 210003, China
    3. Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; Fujian Center for Disease Control and Prevention, Fuzhou 350001, China
    4. Chinese Center for Disease Control and Prevention, Beijing 102206, China
    5. Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China
  • Received:2016-07-21 Published:2016-08-18
  • Corresponding author: Guoxiang Xie
  • About author:
    Corresponding author: Xie Guoxiang, Email:
引用本文:

马涛, 洪镭, 林丹, 丰罗菊, 周蕾, 马会来, 祖荣强, 谢国祥. 2006至2015年南京市猩红热流行病学特征分析[J]. 中华卫生应急电子杂志, 2016, 02(04): 223-229.

Tao Ma, Lei Hong, Dan Lin, Luoju Feng, Lei Zhou, Huilai Ma, Rongqiang Zu, Guoxiang Xie. Epidemiological characteristics of scarlet fever in Nanjing during 2006-2015[J]. Chinese Journal of Hygiene Rescue(Electronic Edition), 2016, 02(04): 223-229.

目的

了解2006至2015年南京市猩红热流行病学特征,为进一步制定防控策略和措施提供依据。

方法

采用描述流行病学方法,分析2006至2015年南京市报告猩红热病例流行特征,主要分析猩红热病例在时间、地区和人群分布特征,报病医疗机构分布等信息,并重点比较了2015年与2006至2014年报告病例的流行病学特征。

结果

2006至2015年南京市共报告猩红热病例843例,年均发病率为1.15/10万;4~7月和11~2月为发病高峰,占总病例数的71.41%(602/843);男性年均发病率(1.36/10万)高于女性(0.92/10万); 94.90%(800/843)的病例为15岁以下孩童,以学生[53.38%(450/843)]和幼托儿童[33.45%(282/843)]为主;年平均发病率前四位的地区为化学工业园区(15.78/10万)、浦口区(2.01/10万)、雨花台区(1.30/10万)、六合区(1.08/10万),江北3区(化学工业园区、浦口区和六合区)的病例数占全市总病例数的66.67%(562/843),化学工业园区病例数占比最高[42.59%(359/843)];江北3区的病例主要来自相邻的4个街道,占江北3区病例总数的79.54%(447/562)。2015年报告发病率(2.97/10万)升高明显,季节、年龄和职业分布(χ2=174.85,P>0.05)等特点与往年相似,但是江北3区尤其是化学工业园区的发病率(52.24/10万)升高最明显。时空分析也提示,化学工业园区于2014年4月6日至2015年12月31日(RR=49.42,LLR=506.72,P<0.01)期间存在聚集发病。51.13%(431/843)的病例由南京江北人民医院报告,且现住址均为江北3区,90.49%(390/431)为4个高发街道;2015年该院病例数占全市总病例数的71.07%(172/242),明显高于2006年至2014年的43.09%(259/601,χ2=54.05,P<0.01)。

结论

南京市2015年猩红热发病率明显高于往年,疫情呈现上升趋势,江北3区(化学工业园区、浦口区和六合区)为高发地区,建议开展专题调查进一步明确高发原因。

Objective

To investigate the epidemiological characteristics and trends of scarlet fever in Nanjing from 2006 to 2015 for providing scientific evidence for making further strategy and measurements of prevention and control.

Methods

Descriptive epidemiological method was employed for epidemiological characteristics analysis of scarlet fever cases in Nanjing from 2006 to 2015. SaTScan9.4.1 was used for retrospective spatial scanning, ArcGIS10.2 was for drawing area distribution toward case numbers and incidence, and EpiInfo7.0 was for statistical analyses.

Results

Total 843 scarlet fever cases were reported in Nanjing during the period of 2006 to 2015. The average annual incidence was 1.15/100 000, and the reported incidence raised to 2.97/100 000 in 2015. The incidence peaked in April to July and November to February and accounted for 71.41% of the reported cases. The incidence of the disease in male was higher than that in female, and 94.90% of the cases were children under 15 years and the majorities were students and nursery children. The three districts in the north of the Yangtze River had higher reported incidence, in which the Chemical Industrial Park had an average annual incidence of 15.78/100 000 and that for 2015 was 52.24/100 000, which was much higher than other districts. Clusters were also occurred in the Chemical Industrial Park and the period was April 6, 2014 to December 31, 2015. Four adjacent streets stretched across the three districts in the north of the Yangtze River reported 53.02% of the cases in Nanjing and 79.54% of that in the three districts in the north of the Yangtze River. In the year of 2015, the Jiangbei People’s Hospital in Nanjing reported 71.07% cases in Nanjing, which increased significantly compared with 43.09% from 2006 to 2014 (χ2=54.05, P<0.001). Meanwhile, between 2006 and 2015, the Jiangbei People’s Hospital reported 89.02% of cases in the 4 streets with high incidence and 32.08% of cases in other streets/counties in the three districts in the north of the Yangtze River, with statistically significant difference (χ2=174.85, P<0.001) and 99.78% of the patients reported by the Jiangbei People’s Hospital resided in the three districts in the north of the Yangtze River.

Conclusion

The incidence of scarlet fever in Nanjing shows a rising trend; the Chemical Industrial Park is an area of high incidence; the increase of reported cases from the Jiangbei People’s Hospital might cause the growth of the overall incidence in Nanjing. It is suggested that we should conduct special investigation on the cause of high incidence and further strengthen surveillance, prevention and control measure in schools and kindergartens at the same time.

表1 2006至2015年南京市报告猩红热发病情况
图1 2006至2015年南京市报告猩红热病例分布
图2 2006至2015年南京市报告猩红热病例地区分布
图3 2006至2015年南京市江北三区报告猩红热病例分布
图4 2006至2014年南京市报告猩红热病例性别、年龄分布。
图5 2015年南京市报告猩红热病例性别、年龄分布。
1
李兰娟,任红. 传染病学[M].北京:人民卫生出版社,2013: 203-206.
2
Wong SS, Yuen KY. Streptococcus pyogenes and reemergence of scarlet fever as a public health problem[J]. Emerg Microbes Infect, 2012, 1(7): 1-10.
3
李雷雷,蒋希宏,隋霞,等. 中国2005-2011年猩红热疫情流行病学分析[J]. 中国公共卫生,2012,28(6):826-827.
4
秦颖,冯录召,余宏杰,等. 2015年春夏季全国猩红热疫情流行病学特征分析[J]. 疾病监测,2015,30(12):1002-1007.
5
任宏,王晔,陈明亮,等. 上海市2005-2012年猩红热流行特征和发病趋势分析[J]. 中华流行病学杂志,2013,34(7):706-710.
6
吴昊澄,林君芬,徐校平,等. 广义相加模型拟合气象因素与猩红热发病的关联性[J].浙江预防医学,2016,(1):5-8,16.
7
Mahara G, Wang C, Huo D, et al. Spatiotemporal pattern analysis of scarlet fever incidence in Beijing, China, 2005-2014[J]. Int J Environ Res Public Health, 2016, 13(1): pii: E131.
8
陈伟,赵晓静,张杰,等. 河南省2005-2014年猩红热流行特征分析[J].中华疾病控制杂志,2016,20(1):9-12.
9
李雷雷,蒋希宏,周浩,等. 某市部分医院猩红热病例的诊断及临床用药现状调查[J].中国医药指南,2012(26):415-417.
10
Yang P, Peng X, Zhang D, et al. Characteristics of group A Streptococcus strains circulating during scarlet fever epidemic, Beijing, China, 2011[J]. Emerg Infect Dis, 2013, 19(6): 909-915.
11
You YH, Song YY, Yan XM, et al. Molecular epidemiological characteristics of Streptococcus pyogenes strains involved in an outbreak of scarlet fever in China, 2011[J]. Biomed Environ Sci, 2013, 26(11): 877-885.
12
彭晓旻,杨鹏,吴双胜,等. 北京地区2011-2014年致儿童猩红热A组链球菌emm基因型别变化特征分析[J].中华流行病学杂志,2015,36(12):1397-1400.
13
柯碧霞,李柏生,谭海玲,等. 广东省猩红热患儿酿脓链球菌病原学特征分析[J].中华微生物学和免疫学杂志,2013,33(5):360-363.
14
Duan Y, Huang XL, Wang YJ, et al. Impact of meteorological changes on the incidence of scarlet fever in Hefei City, China[J]. Int J Biometeorol, 2016: 1-8.
15
刘贞艳,房明,胡彬,等.山东省2013年致猩红热及无症状携带者A群链球菌分子分型研究[J].中华流行病学杂志,2014,35(12):1375-1378.
16
王炳翔,朋文佳,闫军伟,等.猩红热的发病率与气象因素的负二项回归分析[J].中华疾病控制杂志,2014,18(2):166-168.
17
Fernández-Prada M, Martínez-Diz S, Colina López A, et al. Scarlet fever outbreak in a public school in Granada in 2012[J]. An Pediatr (Barc), 2014, 80(4): 249-253.
18
黄昱,严秀君,孙颖颖,等.广州市黄埔区某公司急性呼吸道感染症暴发疫情调查分析[J].现代预防医学,2015,42(1):154-156.
19
李元梦,宋英莉,吕春梅,等. A群链球菌疫苗的研究进展[J]. 国际免疫学杂志,2015,38(1):93-96.
[1] 卫蔷, 张力, 刘兴会, 吴琳. 妊娠期单核细胞增多性李斯特菌感染并文献复习[J]. 中华妇幼临床医学杂志(电子版), 2018, 14(02): 218-223.
[2] 周地佳, 邓慧玲, 张玉凤, 刘平定, 周古翔, 杜嘉仪. 2016至2019年陕西省渭南市手足口病流行病学及病原谱分析[J]. 中华实验和临床感染病杂志(电子版), 2021, 15(03): 177-181.
[3] 刘园园, 李金科, 杜卫星, 谭华炳. 闭合性骨折后发生全身剥脱性皮损而病原学阴性的猩红热患者一例[J]. 中华实验和临床感染病杂志(电子版), 2018, 12(01): 102-104.
[4] 任成山, 林辉, 杨仕明. 结核病的流行特征与耐多药的窘迫及其策略[J]. 中华肺部疾病杂志(电子版), 2019, 12(03): 269-274.
[5] 谭云科, 王鹏飞, 蒋龙元. 广州地区5 613例流感样病例流行病学特征分析[J]. 中华卫生应急电子杂志, 2020, 06(01): 28-31.
[6] 曲建强, 刘华, 刘祥栋. 2005至2018年东阿县猩红热疫情流行病学特征分析[J]. 中华卫生应急电子杂志, 2019, 05(05): 292-294.
[7] 汪君君, 马涛, 谢国祥, 徐庆, 许阳婷, 姜云, 张敏. 南京市2012年1月至2017年7月肾综合征出血热的流行特征与趋势预测[J]. 中华卫生应急电子杂志, 2018, 04(06): 362-368.
[8] 马涛, 洪镭, 徐庆, 丰罗菊, 张钟, 周蕾, 马会来, 祖荣强. 南京市肾综合征出血热疫情分析与防控策略探讨[J]. 中华卫生应急电子杂志, 2016, 02(03): 170-175.
阅读次数
全文


摘要