TY - CHAP
T1 - A structural hierarchical approach to longitudinal modeling of effects of air pollution on health outcomes
AU - Friger, Michael
AU - Bolotin, Arkady
PY - 2004/1/1
Y1 - 2004/1/1
N2 - In the paper we present the methodology of construction and interpretation of models for the study of air pollution effects on health outcomes and their applications. According to the main assumption of the model, every health outcome is an element of the multivariate hierarchical system and depends on the system meteorology, pollution, geophysical, socio-cultural and other factors. The given model is built on system approach using GEE-technique and time-series analysis. The model is tested by the data collected from lung function measurements of the group of 48 adults with vulnerable respiratory system in Leipzig, Germany, over the period from October 1990 till April 1991 (the total of 10,080 individual daily records). The meteorological variables comprise temperature and humidity, while the pollution variables are made of the Total Suspended Paniculate Matter and Sulfur Dioxide airborne concentration. Results of the models, constructed separately for morning, noon, and evening, demonstrate direct and indirect influence of air pollution on the lung function under the certain meteorological, individual factors and seasonal changes.
AB - In the paper we present the methodology of construction and interpretation of models for the study of air pollution effects on health outcomes and their applications. According to the main assumption of the model, every health outcome is an element of the multivariate hierarchical system and depends on the system meteorology, pollution, geophysical, socio-cultural and other factors. The given model is built on system approach using GEE-technique and time-series analysis. The model is tested by the data collected from lung function measurements of the group of 48 adults with vulnerable respiratory system in Leipzig, Germany, over the period from October 1990 till April 1991 (the total of 10,080 individual daily records). The meteorological variables comprise temperature and humidity, while the pollution variables are made of the Total Suspended Paniculate Matter and Sulfur Dioxide airborne concentration. Results of the models, constructed separately for morning, noon, and evening, demonstrate direct and indirect influence of air pollution on the lung function under the certain meteorological, individual factors and seasonal changes.
UR - http://www.scopus.com/inward/record.url?scp=35048816545&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30547-7_25
DO - 10.1007/978-3-540-30547-7_25
M3 - Chapter
AN - SCOPUS:35048816545
SN - 9783540305477
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 243
EP - 250
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Barreiro, Jose M.
A2 - Martin-Sanchez, Fernando
A2 - Maojo, Victor
A2 - Sanz, Ferran
PB - Springer Verlag
ER -
