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Spatio-Temporal Analysis of Dengue Cases in Queensland, Australia, 2010-2015

机译:澳大利亚昆士兰州登革修案件时空分析,2010 - 2015年

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Dengue, an acute infectious disease, is a public health concern in northern Queensland, Australia characterised by annual outbreaks. This study explored spatio-temporal characteristics of dengue cases in Queensland, to identify high-risk areas at fine spatial scale and thereby help in planning resource allocation for dengue control measures. Notifications of dengue cases for Queensland at statistical local area (SLA) level were obtained from Queensland Health for the period 2010 to 2015. Spatio-temporal analysis was performed, including plotting of seasonal distribution and decomposition of cases, using linear regression models and creating choropleth maps of cumulative incidence. The space-time scan statistic (SaT Scan) and a geographical information system were used to identify and visualise the space-time clusters of dengue cases. A total of 1773 dengue cases with 632 (35.65%) autochthonous cases and 1141 (64.35%) overseas cases were reported in Queensland during the study period. Both autochthonous and overseas cases occurred more frequently in autumn and showed a geographically expanding trend over the study period. The most likely cluster of autochthonous cases (RR=54.52, p<0.001) contained 50 SLAs in the north-east region of the state around Cairns occurred during 2013-2015. A cluster of overseas cases (RR of 60.81, p<0.001) occurred in Herston (Brisbane) during 2012 to 2013. These results could be useful in directing future investigations on risk factors and effective interventions in these high-risk areas.
机译:急性传染病的登革热是澳大利亚北昆士兰的公共卫生问题,其特点是年度爆发。本研究探讨了昆士兰州登革修案件的时空特征,以识别精细空间尺度的高风险区域,从而有助于规划登革症控制措施的资源分配。 2010年至2015年昆士兰州健康统计局统计局(SLA)水平的登革热案件的通知。使用线性回归模型和创造官核,包括策划季节性分布和分解的时空分析。累积发病率的地图。空时扫描统计(SAT扫描)和地理信息系统用于识别和可视化登革索案件的时空集群。在研究期间,共有1773例患有632例(35.65%)的综合征和1141例(64.35%)的海外案件。秋季的自动加管和海外案例均更频繁地发生,并在研究期间表现出地理位置扩张趋势。在2013 - 2015年,凯恩斯周围地区的东北地区中,最有可能的自身加重病例(RR = 54.52,P <0.001)含有50个SLA。 2012年至2013年,Herston(布里斯班)发生了一组海外案件(RR为60.81,P <0.001)。这些结果对于指导未来对这些高风险领域的危险因素和有效干预措施的调查有用。

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