Programa de Pós-Graduação em Tecnologias Ambientais, Centro de Ciências Exatas e Tecnologia, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil.
J Bras Pneumol. 2012 Nov-Dec;38(6):708-15. doi: 10.1590/s1806-37132012000600005.
To determine whether climate variability influences the number of hospitalizations for respiratory diseases in infants, children, and adults in the city of Campo Grande, Brazil.
We used daily data on admissions for respiratory diseases, precipitation, air temperature, humidity, and wind speed for the 2004-2008 period. We calculated the thermal comfort index, effective temperature, and effective temperature with wind speed (wind-chill or heat index) using the meteorological data obtained. Generalized linear models, with Poisson multiple regression, were used in order to predict hospitalizations for respiratory disease.
The variables studied were (collectively) found to show relatively high correlation coefficients in relation to hospital admission for pneumonia in children (R² = 68.4%), infants (R² = 71.8%), and adults (R² = 81.8%).
Our results indicate a quantitative risk for an increase in the number of hospitalizations of children, infants, and adults, according to the increase or decrease in temperature, humidity, precipitation, wind speed, and thermal comfort index in the city under study.
确定巴西坎波格兰德市的气候变异性是否会影响婴儿、儿童和成人因呼吸疾病住院的人数。
我们使用了 2004 年至 2008 年期间与呼吸疾病住院、降水、空气温度、湿度和风速有关的每日数据。我们使用获得的气象数据计算了热舒适度指数、有效温度和带风速的有效温度（风寒或热指数）。采用广义线性模型，泊松多重回归，预测呼吸疾病住院。
在所研究的变量中，儿童（R²=68.4%）、婴儿（R²=71.8%）和成人（R²=81.8%）肺炎住院的相关系数相对较高。
我们的结果表明，根据研究城市的温度、湿度、降水、风速和热舒适度指数的增加或减少，儿童、婴儿和成人的住院人数存在定量风险增加。
