%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 %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 = {2023-08-31T16:42:54.000+0200}, 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/puma-wartung}, doi = {10.1016/j.envres.2019.108629}, interhash = {c12e32625a585853aef0f73b9dfa2670}, intrahash = {d5f917c653656fcee078dec96613d016}, issn = {{0013-9351} and {1096-0953}}, journal = {Environmental Research}, keywords = {}, language = {eng}, pages = 108629, publisher = {Elsevier}, research-areas = {Environmental Sciences & Ecology; Public, Environmental & Occupational Health}, timestamp = {2023-08-31T14:42:54.000+0200}, 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 }