Use of poisson regression and box-jenkins models to evaluate the short-term effects of environmental noise levels on daily emergency admissions in Madrid, Spain.

摘要: The relationship between environmental factors and hospital admissions has usually been analysed without taking into account the influence of a factor closely related to traffic in big cities, that is, noise levels. We emergency admissions, for all causes specific Madrid (Spain), study period 1995–1997, using two statistical methods analysis epidemiological time series data: Poisson autoregressive models Box–Jenkins (ARIMA) methodology. Both produce clear association found very similar results from both circulatory causes, but slightly different respiratory causes. Around 5% can be attributed high levels, with lower figure Current levels have considerable impact on Madrid. A reduction could accompanied by possible number admissions.