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Turning up the Heat on Admissions: A Study of the Impacts of Extreme Heat Events on Tasmanian Hospital Admissions 2003-2010

机译:调高就诊热度:极端高温事件对塔斯马尼亚州医院就诊的影响研究2003-2010

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摘要

ududExtreme heat events (both heat waves and extremely hot days) are increasing in frequency and duration globally and cause more deaths in Australia than any other extreme weather event. Numerous studies have demonstrated a link between extreme heat events and an increased risk of morbidity and death. In this study, the researchers sought to identify if extreme heat events in the Tasmanian population were associated with any changes in emergency department admissions to the Royal Hobart Hospital (RHH) for the period 2003-2010.ududududNon-identifiable RHH emergency department data and climate data from the Australian Bureau of Meteorology were obtained for the period 2003-2010. Statistical analyses were conducted using the computer statistical computer software ‘R’ with a distributed lag non-linear model (DLNM) package used to fit a quassi-Poisson generalised linear regression model. ududududThis study showed that RR of admission to RHH during 2003-2010 was significant over temperatures of 24 C with a lag effect lasting 12 days and main effect noted one day after the extreme heat event.ududududThis study demonstrated that extreme heat events have a significant impact on public hospital admissions. Two limitations were identified: admissions data rather than presentations data were used and further analysis could be done to compare types of admissions and presentations between heat and non-heat events. ududududWith the impacts of climate change already being felt in Australia, public health organisations in Tasmania and the rest of Australia need to implement adaptation strategies to enhance resilience to protect the public from the adverse health effects of heat events and climate change.
机译:极端高温事件(热浪和极热天)在全球范围内的频率和持续时间都在增加,在澳大利亚造成的死亡人数比其他任何极端天气事件都多。大量研究表明,极端高温事件与发病和死亡风险增加之间存在联系。在这项研究中,研究人员试图确定塔斯马尼亚人口的极端高温事件是否与2003-2010年期间皇家霍巴特医院(RHH)的急诊室住院人数发生任何变化有关。 ud ud ud udNon-从澳大利亚气象局获得了可识别的RHH急诊部门数据和气候数据,用于2003-2010年期间。使用计算机统计计算机软件“ R”进行统计分析,并使用分布式滞后非线性模型(DLNM)软件包来拟合Quassi-Poisson广义线性回归模型。 ud ud ud ud这项研究表明,在2003年至2010年期间,RHH的入院率在24 C的温度下具有显着影响,滞后效应持续12天,主要效应在极端高温事件后的一天出现。 ud ud这项研究表明,极端高温事件对公立医院的住院人数有重大影响。确定了两个局限性:使用了入场数据而不是演示数据,并且可以进行进一步的分析以比较热事件和非热事件之间的入场和演示类型。 < 由于在澳洲澳洲已感受到气候变化的影响,塔斯马尼亚州及澳洲其他地区的公共卫生组织必须实施适应策略,以增强适应力,以保护公众免受高温事件和健康的不利影响。气候变化。

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