...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Emergency Medicine >A spatial analysis of heat stress related emergency room visits in rural Southern Ontario during heat waves
【24h】

A spatial analysis of heat stress related emergency room visits in rural Southern Ontario during heat waves

机译：热浪期间安大略省南部农村地区与热应激相关的急诊室就诊的空间分析

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background In Southern Ontario, climate change may have given rise to an increasing occurrence of heat waves since the year 2000, which can cause heat stress to the general public, and potentially have detrimental health consequences. Heat waves are defined as three consecutive days with temperatures of 32?°C and above. Heat stress is the level of discomfort. A variety of heat stress indices have been proposed to measure heat stress (e.g., the heat stress index (HSI)), and has been shown to predict increases in morbidity and/or mortality rates in humans and other species. Maps visualizing the distribution of heat stress can provide information about related health risks and insight for control strategies. Information to inform heat wave preparedness models in Ontario was previously only available for major metropolitan areas. Methods Hospitals in communities of fewer than 100,000 individuals were recruited for a pilot study by telephone. The number of people visiting the emergency room or 24-hour urgent care service was collected for a total of 27?days, covering three heat waves and six 3-day control periods from 2010–2012. The heat stress index was spatially predicted using data from 37 weather stations across Southern Ontario by geostatistical kriging. Poisson regression modeling was applied to determine the rate of increased number of emergency room visits in rural hospitals with respect to the HSI. Results During a heat wave, the average rate of emergency room visits was 1.11 times higher than during a control period (IRR?=?1.11, CI 95% (IRR)?=?(1.07,1.15), p?≤?0.001). In a univariable model, HSI was not a significant predictor of emergency room visits, but when accounting for the confounding effect of a spatial trend polynomial in the hospital location coordinates, a one unit increase in HSI predicted an increase in daily emergency rooms visits by 0.4?% (IRR?=?1.004, CI 95% (IRR)?=?(1.0005,1.007), p?=?0.024) across the region. One high-risk cluster and no low risk clusters were identified in the southwestern portion of the study area by the spatial scan statistic during heat waves. The high-risk cluster is located in a region with high levels of heat stress during heat waves. Conclusions This finding will aid hospitals and rural public health units in preventing and preparing for emergencies of foreseeable heat waves. Future research is needed to assess the relation between heat stress and individual characteristics and demographics of rural communities in Ontario.
机译：背景技术在安大略省南部，自2000年以来，气候变化可能引起越来越多的热浪，这可能对普通公众造成热应激，并可能对健康造成不利影响。热浪定义为连续三天温度在32°C或以上。热应激是不舒服的程度。已经提出了多种热应激指数来测量热应激（例如，热应激指数（HSI）），并且已经显示出各种热应激指数可以预测人类和其他物种的发病率和/或死亡率的增加。可视化热应激分布的地图可以提供有关健康风险的信息以及对控制策略的了解。以前，仅在主要大都市地区提供用于通知安大略省热浪准备模型的信息。方法通过电话招募少于100,000个人的社区中的医院进行试点研究。从2010年至2012年，收集了总共27天的急诊室或24小时紧急护理服务人员的数量，涵盖了三个热浪和六个3天的控制期。使用地统计学的克里金法，使用安大略省南部37个气象站的数据在空间上预测了热应力指数。应用Poisson回归模型来确定相对于HSI，乡村医院急诊就诊次数的增加率。结果在热浪期间，急诊就诊的平均比率是控制期间的1.11倍（IRR？=？1.11，CI 95％（IRR）？=？（1.07,1.15） ，p≤≤0.001）。在单变量模型中，HSI并不是急诊就诊的重要预测指标，但是考虑到空间趋势多项式在医院位置坐标中的混杂影响，HSI的单位增加预测每天急诊就诊的次数将增加0.4整个区域的百分比（％）（IRR？=？1.004，CI 95％（IRR）？=？（1.0005,1.007），p？=？0.024）。根据热浪期间的空间扫描统计数据，在研究区域的西南部发现了一个高风险集群，没有低风险集群。高风险集群位于热浪期间具有高水平热应力的区域。结论该发现将有助于医院和农村公共卫生部门预防和准备可预见的热浪紧急情况。需要进一步的研究来评估热应激与安大略省农村社区的个人特征和人口统计之间的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号