贵州省伤寒、副伤寒高发区发热症状监测分析

姚光海; 唐光鹏; 田克诚; 张静; 孙军玲; 王子军; 蒋有琴; 赵启良; 陈学

Abstract

姚光海,唐光鹏,田克诚,张静,孙军玲,王子军,蒋有琴,赵启良,陈学.贵州省伤寒、副伤寒高发区发热症状监测分析[J].Chinese journal of Epidemiology,2013,34(3):254-258

贵州省伤寒、副伤寒高发区发热症状监测分析

ever monitoring program in areas with hiigh incidence of typhoid and paratyphoid fever in Guizhou province

Received:September 05, 2012

DOI：

KeyWord: 伤寒甲型副伤寒发热症状监测检出率

English Key Word: Typhoid Paratyphoid A Fever monitoring Detection rate

FundProject:卫生部公益性行业科研专项(200802025)；贵州省“十一五”社会发展科技项目(黔科合s字[2007]1037)

Author Name	Affiliation	E-mail
YAO Guanghai	Guizhou Provincial Center jjr Disease Control and Prevention. Guiyang 55000 1, China	cfswdm@gzcdc.gov.cn
TANG Guaagpeng	Guizhou Provincial Center jjr Disease Control and Prevention. Guiyang 55000 1, China
TIAN Kecheng	Guizhou Provincial Center jjr Disease Control and Prevention. Guiyang 55000 1, China
ZHANG ring	of\|ke for Disease Control and Emergency Response, Chinese Center for Disease Control and Prevention
SUN junling	of\|ke for Disease Control and Emergency Response, Chinese Center for Disease Control and Prevention
WANG Zijun	of\|ke for Disease Control and Emergency Response, Chinese Center for Disease Control and Prevention
JIANG Youqin	Anshun City Center for Disease Control and Prevention
ZHAO Qiliang	Pingba County Center for Disease Control
CHEN Xue	Pingba County Center for Disease Control

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Abstract:

目的了解贵州省伤寒、副伤寒高发区的发病水平,为综合干预及效果评价提供依据.方法选取安顺市平坝县6乡镇为干预区,贵阳市开阳县6乡镇为对照区,将示范区内各级各类医疗机构按照类别、实验室检测条件分为A、B、C三类监测点,开展以人群为基础,覆盖各级医疗卫生机构的发热症状监测进行伤寒、副伤寒的监测分析.结果对两县12 944例不明原因发热者进行血培养,检出沙门菌200株(伤寒16株,甲型副伤寒184株),总检出率为1.55％,干预前检出率均高于干预后.A类点血培养2039例,分离沙门菌39株占19.50％ (39/200),检出率为1.91％;B类点血培养4315例,分离沙门菌82株占41.00％(82/200),检出率为1.90％;C类点血培养6590例,分离沙门菌79株占39.50％ (79/200),检出率为1.20％,C类点未使用抗生素者检出率明显高于使用者(P＜0.05).春季和秋季为检出高峰,个别地方发生暴发或流行,农民和学生为高发人群,青壮年发病居多.伤寒、副伤寒症状不典型.结论覆盖基层医疗卫生机构的发热症状监测是伤寒高发区开展伤寒、副伤寒监测的可靠方法,能真实反映伤寒、副伤寒疾病负担.

English Abstract:

Objective To analyze the change of life expectancy and the impact of mortality by age and causes of death on this issue among permanent residents of Beijing.Methods Abridged Life Table and Arriaga method were used to calculate and to decompose the changes on life expectancy by age and causes of death in 2000-2010.Results From 2000-2010,life expectancy under this studied population had an increase of 3.35 years.Most part of the increases (44.27％,1.48 years) within the last 10 years could be explained by the decrease of mortality in the population at age ≥ 80.Both cerebrovascular and heart diseases were contributing the most to the increment of life expectancy while mortality of malignant tumors appeared a negative contributor to this increment.Conclusion From 2000 to 2010,increment in life expectancy contributed to the decrease of mortality in the elderly and the decrease of mortalities on both cardio-and cerebro-vascular diseases.The decrease of life expectancy was mainly due to the increase of mortality related to malignant tumors.

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