%0 Journal Article
%1 li2019model
%A Li, Naixin
%A Maesano, Cara N.
%A Friedrich, Rainer
%A Medda, Emanuela
%A Brandstetter, Susanne
%A Kabesch, Michael
%A Apfelbacher, Christian
%A Melter, Michael
%A Seelbach-Göbel, Birgit
%A Annesi-Maesano, Isabella
%A Sarigiannis, Dimosthenis
%A Group, KUNO-Kids Study
%D 2019
%I Elsevier
%J Environmental Research
%K ubs_10004 ubs_20004 ubs_30042 unibibliografie wos
%P 108629
%R 10.1016/j.envres.2019.108629
%T A model for estimating the lifelong exposure to PM2.5 and NO2 and the application to population studies
%V 178
@article{li2019model,
added-at = {2021-02-12T12:20:43.000+0100},
affiliation = {Li, NX (Reprint Author), Hessbruhlstr 49a, D-70565 Stuttgart, Germany.
Li, Naixin; Friedrich, Rainer, Univ Stuttgart, Inst Energy Econ & Rat Use Energy, Hessbruhlstr 49a, D-70565 Stuttgart, Germany.
Maesano, Cara N.; Annesi-Maesano, Isabella, Sorbonne Univ, Dept Epidemiol Allerg & Resp Dis, Pierre Louis Inst Epidemiol & Publ Hlth, Paris, France.
Maesano, Cara N.; Annesi-Maesano, Isabella, INSERM, Paris, France.
Medda, Emanuela, Ist Super Sanita, Rome, Italy.
Brandstetter, Susanne; Kabesch, Michael; Melter, Michael, Univ Childrens Hosp Regensburg KUNO Clin, Regensburg, Germany.
Apfelbacher, Christian, Univ Regensburg, Inst Epidemiol & Prevent Med, Med Sociol, Regensburg, Germany.
Apfelbacher, Christian, Otto von Guericke Univ, Inst Social Med & Hlth Econ, Magdeburg, Germany.
Seelbach-Goebel, Birgit, Univ Regensburg, Clin Obstet & Gynecol St Hedwig, Regensburg, Germany.
Sarigiannis, Dimosthenis, Aristotle Univ Thessaloniki, Dept Chem Engn, Environm Engn Lab, Technol Div, Thessaloniki, Greece.},
author = {Li, Naixin and Maesano, Cara N. and Friedrich, Rainer and Medda, Emanuela and Brandstetter, Susanne and Kabesch, Michael and Apfelbacher, Christian and Melter, Michael and Seelbach-Göbel, Birgit and Annesi-Maesano, Isabella and Sarigiannis, Dimosthenis and Group, KUNO-Kids Study},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d5f917c653656fcee078dec96613d016/unibiblio},
doi = {10.1016/j.envres.2019.108629},
interhash = {c12e32625a585853aef0f73b9dfa2670},
intrahash = {d5f917c653656fcee078dec96613d016},
issn = {{0013-9351} and {1096-0953}},
journal = {Environmental Research},
keywords = {ubs_10004 ubs_20004 ubs_30042 unibibliografie wos},
language = {eng},
pages = 108629,
publisher = {Elsevier},
research-areas = {Environmental Sciences & Ecology; Public, Environmental & Occupational
Health},
timestamp = {2021-02-12T11:20:43.000+0100},
title = {A model for estimating the lifelong exposure to PM2.5 and NO2 and the application to population studies},
unique-id = {ISI:000488653000030},
volume = 178,
year = 2019
}