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Direct assessment of health impacts on hospital admission from traffic intensity in Madrid

机译：直接评估马德里交通强度医院入院的健康影响

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In this paper we establish the attributable risk on respiratory and cardiovascular disorders related to traffic intensity in Madrid. In contrast to previous related studies, the proposed approach directly associates road traffic counts to patient emergency admission rates instead of using primary air pollutants. By applying Shapley values over gradient boosting machines, a first selection step is performed among all traffic observation points based on their influence on patient emergency admissions at Gregorio Maranon hospital. A subsequent quantification of the relative risk associated to traffic intensity of the selected point is calculated via ARIMA and log-linear Poisson regression models. The results obtained show that 13% of respiratory cases are related to traffic intensity while, in the case of cardiovascular disorders, the percentage increases to 39%.
机译：本文在马德里的交通强度建立了呼吸和心血管障碍的可归因风险。与以往的相关研究相比，该方法直接将道路交通计入患者应急入学率，而不是使用原发性空气污染物。通过在梯度升压机上应用福利值，基于它们对Gregorio Maranon医院的患者应急招生的影响，在所有交通观测点中进行第一选择步骤。随后通过Arima和Log-Linear Poisson回归模型计算与所选点的业务强度相关的相对风险的定量。得到的结果表明，13％的呼吸道病例与交通强度有关，同时，在心血管障碍的情况下，百分比增加到39％。

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