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龙泉市肾综合征出血热地理流行病学研究
引用本文:李洪杰 王虹. 龙泉市肾综合征出血热地理流行病学研究[J]. 疾病监测, 1997, 12(7): 248-251. DOI: 10.3784/j.issn.1003-9961.1997.7.248
作者姓名:李洪杰 王虹
作者单位:1.浙江省龙泉市卫生防疫站 323700
摘    要:为探讨龙泉市肾综合征出血热(HFRS)地理分布及相关因素对该病发生发展的影响,对该市1991~1995年HFRS疫情结合有关资料进行统计分析。结果表明:该市HFRS五年的年均发病率为34.67/10万;所辖43个乡镇中有31个可判为疫区;暴露人口215811人,占总人口数的80.56%;HFRS病例分布呈高度散发,1户2例极少;但乡镇间分布有明显聚集性;发病率与海拔高度、林地面积呈负相关、与耕地面积呈正相关;干冷气候发病数明显增加;HFRS疫源地在复杂的地形条件下以平均每年1.2~2.2公里的速度向外周蔓延扩展。结论认为:龙泉市属以黑线姬鼠为主要传染源的混合型HFRS高强度流行疫区;地理、气候因素对HFRS的发病有明显的影响。

关 键 词:HFRS   地理流行病学   相关因素
收稿时间:1996-11-22

A Study on Geographic Epidemiology of Haemorrhagic Fever with Renal Syndrone in Longquan City
Li Hongjie,et al.. A Study on Geographic Epidemiology of Haemorrhagic Fever with Renal Syndrone in Longquan City[J]. Disease Surveillance, 1997, 12(7): 248-251. DOI: 10.3784/j.issn.1003-9961.1997.7.248
Authors:Li Hongjie  et al.
Affiliation:1.Sanitation & Anti epidemic Station of Longguan City;323700
Abstract:In order to study the geographic distribution of haemorrhagic fever with Renal Syndrome (HFRS),and the function of correlative factors on this disease, the data of HFRS incidence in Longquan City during 1991-1995 was anaiysed.The results showed that the annual incidence rate was 34.67/10 5 in these five years.There were 31 epidemic areas of HFRS among 43 towns and townships.The population of exposure was 215811,about 80.56% of the total population in the city.Cases of HFRS cccured sporadically and less discovering of two patients in a family.But the distribution had a obviously clustering among the townships.The incidence rate showed a negative correlation with the elevation or the area of moodland,and a posivive correlation with the cultivated area.The cases of HFRS concentrated clearly in the expending arid and cold climate.The epidemic area of HFRS was about 1.2 to 2.2 kilometres per year in the complicated natural conditions.It was concluded that Longquqn city was a strong,mixed type epidemic area of HFRS, the main infectious source was Apodemus agrarius and also concluded that the incidence rate was closely related with the environment and the climate.
Keywords:HFRS Geographical epidemiology Correlative factors  
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