Spatio-Temporal Analysis of Dengue Cases in Kuningan District Since 2008-2017

M. E. A. Fuadiyah, Andri Ruliansyah
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Abstract

Dengue has spread to over 400 of Indonesia’s 497 districts, including West Java Province in which 26 of its districts have been declared as hyper-endemic. A study was conducted to describe the spread of dengue incidences and its cluster during 2008-2017 in Kuningan District. The district is located in an important route, in migration and in the economic field, connecting the northern part of West Java to the southern part. A spatio-temporal analysis based on monthly dengue incidences from the local District Health Office was performed using SaTScan™. This study revealed there were Statistically significant high-risk dengue clusters with various RR in half of the subdistricts in Kuningan in the ten-year periods of 2008-2017 and a retrospective space-time analysis detected 17 significant clusters (P<0.001). Subdistrict Kuningan is detected as a high-risk area every year except for 2008, whereas Jalaksana emerged as a high-risk cluster in six of ten-year periods. We conclude that there was a dynamic spread of dengue cases initiated from the north part of Kuningan District to western areas. This study results do not properly predict RR due to a lack of information on some significant factors, such as vector density and related environmental and socioeconomic parameters. However, this study has provided a perspective on dengue incidence that can be used by local health managers and disease surveillance personnel to monitor prospective outbreaks and make decisions about how to implement an effective response.
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库宁安区2008-2017年登革热病例时空分析
登革热已蔓延至印尼497个地区中的400多个,其中包括西爪哇省,该省26个地区已被宣布为高度流行区。开展了一项研究,以描述2008-2017年库宁甘区登革热发病率及其集群的传播情况。该地区位于连接西爪哇北部和南部的重要路线、移民和经济领域。使用SaTScan对当地地区卫生办公室每月登革热发病率进行时空分析™. 本研究显示,在2008-2017年的十年期间,库宁安一半的街道都存在具有不同RR的具有统计学意义的高风险登革热集群,回顾性时空分析检测到17个显著集群(P<0.001),而Jalaksana在十年中有六年成为高风险集群。我们得出的结论是,登革热病例从库宁安区北部开始向西部地区动态传播。由于缺乏一些重要因素的信息,如病媒密度和相关的环境和社会经济参数,本研究结果无法正确预测RR。然而,这项研究提供了一个登革热发病率的视角,当地卫生管理人员和疾病监测人员可以利用该视角来监测潜在的疫情,并就如何实施有效应对做出决定。
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