Diretoria de Pesquisas Sociais, Fundação Joaquim Nabuco, Recife, Brazil.
Trop Med Int Health. 2011 Jun;16(6):748-55. doi: 10.1111/j.1365-3156.2011.02758.x. Epub 2011 Mar 14.
To evaluate composite living conditions as indicators of urban areas with a higher risk of filariasis transmission.
This was an ecological study in the municipality of Jaboatão dos Guararapes, in Brazil. The analysis units were census tracts. The study was divided into three phases. First, data gathered during an epidemiological investigation were analysed. Secondly, living condition indicators were drawn up and the relationship between these indicators and microfilaremia prevalence rates was analysed. Thirdly, positive cases were georeferenced with a view to identifying spatial concentration using kernel intensity estimates. Two composite living condition indicators were calculated: a socio-environmental risk index (in the form of scores) and a social deprivation index (through principal-component factor analysis).
Of 23,673 individuals examined, 1.4% had microfilaremia. According to the two indicators, greater prevalence was found in the high-risk strata, and this association was confirmed by the kernel intensity estimates.
Classification of census tracts into risk strata showed the relevance of socio-economic factors and environmental conditions in identifying priority areas in urban spaces for interventions by the surveillance services and in planning filariasis control. Spatial analysis also proved to be an important tool for building up a territorially based surveillance system. These indicators, used in association with spatial analysis, are an instrument to be used by the Global Programme to Eliminate Lymphatic Filariasis.
评估综合生活条件,作为具有更高丝虫病传播风险的城区指标。
这是巴西若阿比姆保拉雷斯市的一项生态研究。分析单位为普查区。研究分为三个阶段。首先,分析了在流行病学调查期间收集的数据。其次,制定了生活条件指标,并分析了这些指标与微丝蚴患病率之间的关系。第三,对阳性病例进行地理定位,以便使用核密度估计值来确定空间聚集。计算了两个综合生活条件指标:社会-环境风险指数(以分数形式)和社会剥夺指数(通过主成分因子分析)。
在检查的 23673 人中,有 1.4%的人有微丝蚴血症。根据这两个指标,高风险人群的患病率更高,核密度估计值证实了这种关联。
将普查区划分为风险区表明,社会经济因素和环境条件在确定城市空间中监测服务的优先领域以及规划丝虫病控制方面具有重要意义。空间分析也被证明是建立基于领土的监测系统的重要工具。这些与空间分析结合使用的指标是全球消灭淋巴丝虫病规划的工具。