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一种社会环境综合指数作为识别有淋巴丝虫病风险城市地区的工具。

A socioenvironmental composite index as a tool for identifying urban areas at risk of lymphatic filariasis.

作者信息

Bonfim C, Netto M J E, Pedroza D, Portugal J L, Medeiros Z

机构信息

Fundação Joaquim Nabuco, Ministério da Educação, Recife, Brazil.

出版信息

Trop Med Int Health. 2009 Aug;14(8):877-84. doi: 10.1111/j.1365-3156.2009.02317.x. Epub 2009 Jul 17.

Abstract

OBJECTIVE

To describe the spatial distribution of lymphatic filariasis and its relationship with the socioenvironmental risk indicator, thus identifying priority localities for interventions in endemic urban areas.

METHODS

The study area was the municipality of Jaboatão dos Guararapes, State of Pernambuco, Brazil. The data sources were a parasitological survey and the 2000 demographic census. From these data, a socioenvironmental composite risk indicator was constructed using the 484 census tracts (CT) as the analysis units, based on the score-formation technique. Census tracts with higher indicator values presented higher risk of occurrences of filariasis.

RESULTS

Six thousand five hundred and seven households were surveyed and 23 673 individuals were examined, among whom 323 cases of microfilaremia were identified. The mean prevalence rate for the municipality was 1.4%. The indicator showed that 73% (237/323) of the cases of microfilaremia were in high-risk areas (third and fourth quartiles) with worse socioenvironmental conditions (RR = 4.86, CI = 3.09-7.73, P < 0.05).

CONCLUSIONS

The socioenvironmental composite risk indicator demonstrated sensitivity, since it was able to identify the localities with greater occurrence of infection. Because it can stratify spaces by using official and available data, it constitutes an important tool for use in the worldwide program for eliminating lymphatic filariasis.

摘要

目的

描述淋巴丝虫病的空间分布及其与社会环境风险指标的关系,从而确定城市流行地区干预的重点地区。

方法

研究区域为巴西伯南布哥州的雅博阿唐-杜斯瓜拉拉斯市。数据来源为寄生虫学调查和2000年人口普查。基于评分形成技术,以484个普查区(CT)作为分析单位,从这些数据构建了一个社会环境综合风险指标。指标值较高的普查区丝虫病发生风险较高。

结果

共调查了6507户家庭,检查了23673人,其中确诊323例微丝蚴血症病例。该市的平均患病率为1.4%。该指标显示,73%(237/323)的微丝蚴血症病例位于社会环境条件较差的高风险地区(第三和第四四分位数)(相对危险度=4.86,可信区间=3.09-7.73,P<0.05)。

结论

社会环境综合风险指标显示出敏感性,因为它能够识别感染发生率较高的地区。由于它可以利用官方和可得数据对空间进行分层,因此它构成了全球消除淋巴丝虫病计划中使用的一项重要工具。

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