Chen Y Z, Li F, Xu H, Huang L C, Gu Z G, Sun Z Y, Yan G J, Zhu Y J, Tang C
Yancheng Center for Disease Control and Prevention, Yancheng 224002, China.
Dongtai Center for Disease Control and Prevention, Yancheng 224200, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2016 Feb;37(2):232-7. doi: 10.3760/cma.j.issn.0254-6450.2016.02.017.
In order to provide better programs on monitoring, early warning and prevention of Scrub Typhus in the coastal beach area, temporal-spatial distribution characteristics of scrub typhus were summarized. Relationships between temporal-spatial clustering of Scrub Typhus, meteorological factors, rodent distribution and the biological characteristics in coastal beach area of Yancheng city, were studied.
Reports on network-based Scrub Typhus epidemics and information on population, weather situation through monitoring those stations, from 2005 to 2014 were collected and processed, in the coastal beach area of Yancheng city. Distribution, density of the population concerned and seasonal fluctuation on rodents were monitored in coastal beach area, from April 2011 to December, 2013. METHODS as descriptive statistics, space-time permutation scantistics, autocorrelation and Cross-correlation analysis etc, were used to analyze the temporal-spatial distribution of Scrub Typhus and correlation with rodent distribution, density fluctuation and meteorological indexes. Zero-inflated Pearson (ZIP) regression model was contributed according to the distribution of related data. All methods were calculated under Excel 2003, SPSS 16.0, Mapinfo 11.0, Satscan 9.0 and Stata/SE 10.0 softwares.
(1) The incidence of Scrub Typhus was gradually increasing and the highest incidence of the year was seen in 2014, as 5.81/10 million. There was an autumn peak of Scrub typhus, with the highest incidence rate as 12.02/10 million in November. The incidence rate of Scrub typhus appeared high in Binhai, Dafeng and Xiangshui, with the average incidence rates appeared as 3.30/10 million, 3.21/10 million and 2.79/10 million, respectively. There were 12 towns with high incidence rates in the coastal beach area, with incidence rate showed between 4.41/10 and 10.03/10 million. (2) There were three incidence clusters of Scrub typhus seen in 25 towns, between October 2012 and November 2012 in Dongtai, Dafeng, Sheyang areas and 5 towns between October and November, 2014 in Xiangshui area, together with another 6 towns in November of 2006, in Binhai area. (3) Apodemus agrarius appeared the dominant species in the coastal area, with the constituent ratio as 89.19%. The rodent density appeared two peaks in winter and summer in 2011 and 2013. The winter peak was seen in January and the summer peak lasting for 5-8 months. Scrub Typhus was seen 10-11 months in a year and the incidence was increasing, parallel with the peak of the rodent density. The peak incidence of Scrub Typhus showed a temperature/rainfall-related peak. Rodent density, temperature, rainfalls were correlated with the incidence of Scrub Typhus, under the Cross correlation analysis. Rains, Mean minimum temperature of a 3-month lagging were directly correlated but the duration of sunshine and relative humidity were negatively correlated with the incidence of Scrub Typhus, under the Zero-inflated Pearson (ZIP) regression model.
Temporal-spatial clustering and factors as media creature and weather condition of Scrub Typhu were discovered, which provided evidence for effective measures on prevention and control of the disease.
为更好地开展沿海滩涂地区恙虫病监测、预警与防控工作,总结恙虫病的时空分布特征,研究盐城市沿海滩涂地区恙虫病时空聚集性与气象因素、鼠类分布及生物学特性之间的关系。
收集并整理2005 - 2014年盐城市沿海滩涂地区基于网络直报的恙虫病疫情报告及人口、气象站点监测信息。2011年4月至2013年12月,对沿海滩涂地区鼠类的分布、密度及种群季节消长情况进行监测。采用描述性统计、时空排列扫描统计、自相关及交叉相关分析等方法,分析恙虫病的时空分布及其与鼠类分布、密度消长及气象指标的相关性。根据相关数据分布拟合零膨胀泊松(ZIP)回归模型。所有计算均在Excel 2003、SPSS 16.0、Mapinfo 11.0、Satscan 9.0和Stata/SE 10.0软件下完成。
(1)恙虫病发病率呈逐年上升趋势,2014年发病率最高,为5.81/10万。恙虫病发病有秋季高峰,11月发病率最高,为12.02/10万。滨海、大丰和响水恙虫病发病率较高,平均发病率分别为3.30/10万、3.21/10万和2.79/10万。沿海滩涂地区有12个镇发病率较高,发病率在4.41/10万至10.03/10万之间。(2)2012年10月至11月在东台、大丰、射阳地区的25个镇以及2014年10月至11月在响水地区的5个镇出现3个恙虫病发病聚集区,另外2006年11月在滨海地区的6个镇也出现发病聚集。(3)黑线姬鼠为沿海地区优势鼠种,构成比为89.19%。2011年和2013年鼠密度出现冬夏两个高峰,冬季高峰出现在1月,夏季高峰持续5 - 8个月。恙虫病全年可见10 - 11个月,发病率随鼠密度高峰上升。恙虫病发病高峰与温度/降雨相关。交叉相关分析显示,鼠密度、温度、降雨量与恙虫病发病率相关。零膨胀泊松(ZIP)回归模型显示,降雨量、滞后3个月的平均最低气温与发病率呈正相关,日照时长和相对湿度与恙虫病发病率呈负相关。
发现了恙虫病的时空聚集性及媒介生物、气象条件等因素,为制定有效的疾病防控措施提供了依据。