摘要
目的分析2006-2015年广州市恙虫病流行的时空分布特征,为疫情预报预警和防控提供时空线索支持。方法搜集并整理广州市2006-2015年恙虫病病例数据,对该数据进行性别、职业和年龄分组频数统计分析,并计算其发病率,描述广州市恙虫病发病时间分布和人群分布;运用ArcGIS 10.3软件将该病发病率用地图形式加以展现,描述其空间分布特征。结果 2006-2015年广州市恙虫病年平均发病率为4.42/10万,发病月份集中在6-11月,占全年发病总数的74.61%;发病人群主要集中在50~岁年龄组,广州市城市外缘地区的发病率明显高于城市中心区。结论广州市恙虫病发病率仍处于较高水平,并已形成明显的空间分布差异,应加强对高发区及高危人群的监测及防控。
Objective To analyze the spatiotemporal distribution of scrub typhus in Guangzhou city from 2006 to 2015, and provide the distribution information to the prevention and control of epidemic. Methods Data of scrub typhus cases from 2006 to 2015 were collected and used to analyze the prevalence by gender, occupation and age groups, calculate the incidence and describe the distribution of time and population. The spatial distribution characteristics were showed in the form of a map of the incidence by AreGIS 10.3. Results The overall incidence rate of scrub in Guangzhou city from 2006 to 2015 was 4.42 per 100 thousand of human population. The cases were accounted intensively from June to November, and the highest incidence of scrub typhus concentrated in the age group of 50-59, The incidence in surroundings was significantly higher than that in center in Guangzhou. Conclusion Since 2006, the incidence of scrub typhus in Guangzhou city was rising and had obvious difference in space distribution. The monitoring in the high-risk areas and populations should be enhanced.
作者
刘艳慧
李乔玄
景钦隆
李铁钢
任红艳
LIU Yan-hui LI Qiao-xuan JING Qin-long LI Tie-gang REN Hong-yan(Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong Province, China Fujian Normal University College of Geographical Sciences State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)
出处
《中国媒介生物学及控制杂志》
CAS
2017年第4期336-339,共4页
Chinese Journal of Vector Biology and Control
基金
国家自然科学基金(41571158)
广东省自然科学基金(2015A030313813)
广东省省级科技计划(2013B021800028)
广州市科技计划(201607010130)~~
关键词
恙虫病
流行特征
时空分布
Scrub typhus
Epidemic characteristics
Spatiotemporal distribution
