2026-04-29T01:00:08Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/115832024-09-28T00:45:13Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19613
Repisalud
author
Navares, Ricardo
author
Diaz-Jimenez, Julio
author
Aznarte, Jose L
author
Linares-Gil, Cristina
2021-01-08T08:25:31Z
2021-01-08T08:25:31Z
2020
Environ Res . 2020 May;184:109254.
0013-9351
http://hdl.handle.net/20.500.12105/11583
32126373
10.1016/j.envres.2020.109254
Environmental research
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 Marañon 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%.
eng
Traffic intensity
Hospital admissions
Attributable risk
ARIMA
Poisson regression
Direct assessment of health impacts on hospital admission from traffic intensity in Madrid.
research article
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URL
https://repisalud.isciii.es/bitstreams/2eeaf43c-6a01-4584-bd1b-ea9e969df8e0/download
File
MD5
24611fd6df5440e31ff856d5f22f5580
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application/pdf
DirectAssessmentOfHealth_2020.pdf
URL
https://repisalud.isciii.es/bitstreams/70ebccdd-33ae-4711-a359-5bd81d13be14/download
File
MD5
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text/plain
DirectAssessmentOfHealth_2020.pdf.txt