Abstract:
Arboviruses pose a significant global public health threat, with Ross River virus (RRV), Barmah Forest virus (BFV), and dengue virus (DENV) being among the most common and clinically significant in Australia. Some arboviruses, including those prevalent in Australia, have been reported to cause transfusion-transmitted infections. This study examined the spatiotemporal variation of these arboviruses and their potential impact on blood donation numbers across Australia. Using data from the Australian Department of Health on eight arboviruses from 2002 to 2017, we retrospectively assessed the distribution and clustering of incidence rates in space and time using Geographic Information System mapping and space-time scan statistics. Regression models were used to investigate how weather variables, their lag months, space, and time affect case and blood donation counts. The predictors\' importance varied with the spatial scale of analysis. Key predictors were average rainfall, minimum temperature, daily temperature variation, and relative humidity. Blood donation number was significantly associated with the incidence rate of all viruses and its interaction with local transmission of DENV, overall. This study, the first to cover eight clinically relevant arboviruses at a fine geographical level in Australia, identifies regions at risk for transmission and provides valuable insights for public health intervention.
摘要:
虫媒病毒对全球公共卫生构成重大威胁,罗斯河病毒(RRV),Barmah森林病毒(BFV),登革热病毒(DENV)是澳大利亚最常见和临床意义的病毒之一。一些虫媒病毒,包括澳大利亚流行的,据报道会导致输血传播的感染。这项研究检查了这些虫媒病毒的时空变异及其对澳大利亚献血人数的潜在影响。使用2002年至2017年澳大利亚卫生部关于八种虫媒病毒的数据,我们使用地理信息系统绘图和时空扫描统计数据回顾性评估了发病率在空间和时间上的分布和聚类。回归模型被用来调查天气变量,他们滞后的几个月,空间,时间影响病例数和献血数。预测因子的重要性随分析的空间尺度而变化。主要预测因素是平均降雨量,最低温度,每日温度变化,和相对湿度。献血人数与所有病毒的发病率及其与DENV的局部传播的相互作用显著相关,总体来说。这项研究,在澳大利亚第一个在良好的地理水平上涵盖八种临床相关的虫媒病毒,确定有传播风险的区域,并为公共卫生干预提供有价值的见解。