Chinese Journal of Vector Biology and Control >
The impact of the rodent density on the incidence of hemorrhagic fever with renal syndrome in Zhejiang province
Received date: 2016-02-17
Online published: 2016-06-20
Supported by
Supported by the National Science and Technology Major Project of China (No. 2012ZX10004219)
Objective To analyze the impact of rodent density on the incidence of hemorrhagic fever with renal syndrome (HFRS) in Zhejiang province, and to provide background for the prevention and control of the rodent-borne diseases. Methods The monitoring data of rodent density and the incidence of HFRS were collected from January 2005 to December 2014 in Zhejiang province. Spearman correlation analysis and linear regression method were applied for data analysis. Results The average density of rodents in the last decade was 0.88% in Zhejiang province, and the Rattus norvegicus was the predominant species which accounting for 51.16% of the total number. There was correlation with the rodent density and the incidence of HFRS lagging one month to four months, and the correlation coefficients were 0.247, 0.369, 0.328, and 0.213 respectively (P < 0.05). The linear regression found that the rodent density was significantly associated with the incidence of HFRS lagging one month to four months (R2=0.106, 0.167, 0.134, and 0.067, P < 0.05). Every 1% increase in the rodent density, followed by 0.326, 0.409, 0.367 and 0.258 (/100 000) increase in the HFRS incidence lagging one month to four months respectively. Conclusion Rodent density has certain influence on the incidence of HFRS in Zhejiang province. The density monitoring and rodent control should be carried out on a routine basis.
WANG Jin-na, LING Feng, SUN Ji-min, ZHANG Rong, GUO Song, WU Yu-yan, HOU Juan, FU Gui-ming, GONG Zhen-yu . The impact of the rodent density on the incidence of hemorrhagic fever with renal syndrome in Zhejiang province[J]. Chinese Journal of Vector Biology and Control, 2016 , 27(3) : 241 -243 . DOI: 10.11853/j.issn.1003.8280.2016.03.007
[1] Xiao H, Tian HY, Cazelles B, et al. Atmospheric moisture variability and transmission of hemorrhagic fever with renal syndrome in Changsha city, Mainland China, 1991-2010[J]. PLoS Negl Trop Dis,2013,7(6):e2260.
[2] Fang LQ, Wang XJ, Liang S, et al. Spatiotemporal trends and climatic factors of hemorrhagic fever with renal syndrome epidemic in Shandong province,China[J]. PLoS Negl Trop Dis, 2010,4(8):e789.
[3] Li SJ, Ren HY, Hu WS, et al. Spatiotemporal heterogeneity analysis of hemorrhagic fever with renal syndrome in China using geographically weighted regression models[J]. Int J Environ Res Public Health,2014,11(12):12129-12147.
[4] Zhang S, Wang SW, Yin WW, et al. Epidemic characteristics of hemorrhagic fever with renal syndrome in China, 2006-2012[J]. BMC Infect Dis,2014,14:384.
[5] 张蓉,姚苹苹,徐芳,等. 浙江省2013年肾综合征出血热流行特征及监测分析[J]. 中国媒介生物学及控制杂志,2015,26(1):37-40.
[6] 龚震宇,傅桂明,王臻,等. 2001-2003年浙江省肾综合征出血热监测分析[J]. 疾病监测,2005,20(2):82-84.
[7] 陈化新,罗成旺. 中国肾综合征出血热监测[J]. 中华流行病学杂志,2002,23(1):63-66.
[8] 吴光华,王忠灿,姜志宽,等. 肾综合征出血热与鼠的监测和防控[J]. 中华卫生杀虫药械,2012,18(5):370-373.
[9] 秦彩明,刘芸,姚文清,等. 辽宁省国家监测点肾综合征出血热监测分析[J]. 疾病监测,2007,22(3):162-164.
[10] 吴伟,郭军巧,关鹏,等. 辽宁省2005-2007年肾综合征出血热流行特征及环境危险因素分析[J]. 中国媒介生物学及控制杂志,2014,25(1):39-42.
[11] 佐月,周宝森. 2005-2012年辽宁省凌海市肾综合征出血热鼠间疫情分析[J]. 疾病监测,2013,28(12):1000-1002.
[12] 陈君. 凤城市鼠密度及带毒率调查研究[J]. 中华卫生杀虫药械,2012,18(1):68-69.
[13] 傅桂明,姚苹苹,徐芳,等. 2006年浙江省肾综合征出血热监测报告[J]. 疾病监测,2008,23(1):41-42.
[14] 傅桂明,姚苹苹,徐芳,等. 2007年浙江省肾综合征出血热疫情分析[J]. 中国媒介生物学及控制杂志,2009,20(2): 161-162.
[15] 施旭光,孙继民,徐芳, 等. 2010年浙江省肾综合征出血热监测资料分析[J]. 疾病监测,2011,26(6):439-441.
/
| 〈 |
|
〉 |