Tselepidaki I G, Asimakopoulos D N, Katsouyanni K, Moustris C, Touloumi G, Pantazopoulou A
Laboratory of Meteorology, University of Athens, Greece.
Int J Biometeorol. 1995 May;38(4):194-8. doi: 10.1007/BF01245388.
Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5 degrees C and between 26.5 and 28.5 degrees C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5 degrees C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5 degrees C. The daily number of deaths increased to 108.2 when THI exceeded 28.5 degrees C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning.
已知死亡率和发病率指数取决于气象条件的变化。在雅典,已有报道称极端高温天气后出现了严重的不良健康影响。研究了基于日最高气温和相对湿度的简单综合温湿度指数(THI)在预测特定气象条件对健康影响方面的实用性。发现THI值与更复杂的生物气候指数有很好的相关性;通过多元线性回归建模,THI能够成功地替代温度和湿度来预测每日死亡人数。因此,在回归模型中通过虚拟变量引入THI高于28.5摄氏度以及在26.5至28.5摄氏度之间的水平,解释了7月和8月死亡人数变化的40%。当THI值低于26.5摄氏度时,平均死亡人数为33.5人,而当THI在26.5至28.5摄氏度之间时为41.8人。当THI超过28.5摄氏度时,每日死亡人数增至108.2人。从这项研究来看,必须采取公共卫生措施的THI确切水平尚不清楚,还需要更多工作来确定。然而,鉴于其简单性,在预防医学和卫生服务规划中,使用THI来预测对健康不利的气象条件似乎很有前景。