确定危险地区,作为监测登革热病例的一种方法

Gesiel Rios Lopes, Karina Jorge Pelarigo, A. Delbem
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引用次数: 0

摘要

根据社会脆弱性确定登革热病例风险的空间聚集群是有效流行病学和城市管理的有力工具。通过这种方式,本工作开展了一项生态研究,考虑了2019年奥卡洛斯- sp市登革热确诊病例和流行病原体的行动,通过应用空间扫描技术对风险区域进行分类,计算相对风险(RR),置信区间为95% (CI95%),并使用圣保罗社会脆弱性指数(IPVS)来表征这些区域。共识别出7个集群,其中2个集群为高风险集群(RR=37.54 / RR=33.39),其中风险最高的集群位于高脆弱性区域,风险第二高的集群位于极低脆弱性区域。这些结果提供的信息使我们能够在登革热传播率较高的地方从早期发现病例开始针对具体控制行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of risk areas as a method of surveillance of dengue cases
Identifying spatial clusters of risk for dengue cases according to social vulnerability constitutes a powerful tool for effective epidemiological and urban management. In this way, this work carries out an ecological study that considered confirmed cases of dengue and actions of endemic agents in the municipality of São Carlos-SP, in the year 2019, through the application of the spatial scan technique for classification of the risk areas, computing the relative risk (RR), with a confidence interval of 95% (CI95%:) and the São Paulo Social Vulnerability Index (IPVS) to characterize these areas. Seven clusters were identified, two of which were high risk (RR=37.54 / RR=33.39), with the highest risk located in a region with high vulnerability and the second in a region with very low vulnerability. These results provide information that allows the targeting of specific control actions from the early detection of cases in places with greater dengue transmissibility.
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