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Respiratory diseases in Greater Buenos Aires and meteorological variables

机译:布宜诺斯艾利斯大区的呼吸系统疾病和气象变量

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摘要

This paper provides a preliminary assessment of the relationship between atmospheric conditions and respiratory diseases based on the analysis of disease occurrence in patients during the period August 2004 to September 2007. To this effect, medical records from a medical services firm were examined, as well as temperature data (daily, maximum, minimum, dew point), pressure and relative humidity, measured at the meteorological station of Ezeiza (34.49°S, 58.32°W). The analysis revealed a strong seasonal relationship, with a peak in winter (low temperatures) and a minimum in summer. The annual cycle explains 76.24% of the total of the variance of the series. Most patients were below 10 years of age and older than 71. The best correlations were observed between daily values of the number of patients presenting with disease symptoms (N) and temperature, and between monthly values of N and maximum temperature (coefficients of - 0.73 and - 0.91, respectively). Multiple correlation between all meteorological variables obtained with the Stepwise method, made it possible to estimate the expected number of patients on daily and monthly scales. Mean geopotential height fields at 1000 hPa corresponding to days with the lowest number of patients have opposite synoptic characteristics to those of days with the largest number of patients. The same occurs with the fields corresponding to consecutive days with less than 40 patients per day and consecutive days with more than 300 patients per day. The fields corresponding to extremely high values show a positive pressure anomaly and consequent cold air advection over Buenos Aires and surrounding areas.
机译:本文通过分析2004年8月至2007年9月期间患者的疾病发生情况,初步评估了大气状况与呼吸系统疾病之间的关系。为此,对医疗服务公司的病历以及在Ezeiza气象站(34.49°S,58.32°W)测得的温度数据(每日,最大,最小,露点),压力和相对湿度。分析显示出强烈的季节关系,在冬季(低温)达到峰值,在夏季达到最小值。年度周期解释了该系列变异总数的76.24%。大多数患者年龄在10岁以下,年龄在71岁以上。在表现出疾病症状(N)和温度的患者人数的每日值之间,以及在每月N值与最高温度的值之间的最佳关联(系数为-0.73和-分别为0.91)。通过逐步方法获得的所有气象变量之间的多重相关性,使得有可能在日和月尺度上估计预期的患者人数。在1000 hPa处对应于患者人数最少的天的平均地势高度场具有与与患者人数最多的天的天气特征相反的天气特征。对于对应于每天少于40位患者的连续天数和每天超过300位患者的连续天数的字段,也会发生相同的情况。对应于极高值的字段显示正压异常,并因此在布宜诺斯艾利斯及周边地区发生冷空气平流。

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