Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322761207> ?p ?o ?g. }
- W4322761207 endingPage "119688" @default.
- W4322761207 startingPage "119688" @default.
- W4322761207 abstract "Vulnerable windows in child development in utero and after birth are critical time points for uncovering the links between environment and health. Particular attention is paid to the first 1000 days of life from conception to the second year of life. The ELSPAC (European Longitudinal Study of Pregnancy and Childhood) birth cohort, launched in the early 1990s, is a rich source of longitudinal data about health and life events, based mainly in Brno, Czechia. There are currently no air quality concentration maps that can be used to assess exposure to air pollutants for this period of the 1990s in Central Europe. Simply transferring current models to the 1990's is burdened with the error introduced by the temporal change in emission sources and land use of the area. Therefore, Czech air quality monitoring data were used to develop monthly land use regression (LUR) models, which combine collected spatial variables with monitoring data to predict the variation in exposures to pollutants. Monthly pollutant concentrations were regressed against the GIS-based potential predictor variables to develop LUR models, following a supervised forward linear regression, with several predefined constraints. We constructed 180 LUR monthly models for sulphur dioxide (SO2), nitrogen oxides (NOx) and suspended particulate matter (SPM) for 1990–1994, that completely cover the first 1000 days for all ELSPAC study participants. The final models showed, on average reasonably good performance (adjusted R2 = 0.59 with hold-out validation (HOV) R2 = 0.40 for SO2; adjusted R2 = 0.75 with HOV R2 = 0.35 for NOx; and adjusted R2 = 0.61 with HOV R2 = 0.31 for SPM; with a mean number of stations of 74, 38 and 41, respectively). For these models, roads and greenness were predominantly selected as the best predictors. The modelled exposures will serve in many subsequent ELSPAC epidemiological studies, but our models may be also used in other Czech and possibly other Central European cities in that period." @default.
- W4322761207 created "2023-03-03" @default.
- W4322761207 creator A5000101838 @default.
- W4322761207 creator A5007246201 @default.
- W4322761207 creator A5027340392 @default.
- W4322761207 creator A5032931795 @default.
- W4322761207 creator A5060476003 @default.
- W4322761207 creator A5068450362 @default.
- W4322761207 creator A5070907706 @default.
- W4322761207 creator A5080784945 @default.
- W4322761207 date "2023-05-01" @default.
- W4322761207 modified "2023-09-25" @default.
- W4322761207 title "Development of historic monthly land use regression models of SO2, NOx and suspended particulate matter for birth cohort ELSPAC" @default.
- W4322761207 cites W1973066093 @default.
- W4322761207 cites W1976519927 @default.
- W4322761207 cites W1983132585 @default.
- W4322761207 cites W1991350060 @default.
- W4322761207 cites W1992626635 @default.
- W4322761207 cites W2001863067 @default.
- W4322761207 cites W2003207330 @default.
- W4322761207 cites W2005281918 @default.
- W4322761207 cites W2023255438 @default.
- W4322761207 cites W2031189352 @default.
- W4322761207 cites W2055280773 @default.
- W4322761207 cites W2066544083 @default.
- W4322761207 cites W2077230185 @default.
- W4322761207 cites W2077915483 @default.
- W4322761207 cites W2079229232 @default.
- W4322761207 cites W2098637521 @default.
- W4322761207 cites W2099040894 @default.
- W4322761207 cites W2103206342 @default.
- W4322761207 cites W2105150627 @default.
- W4322761207 cites W2160831521 @default.
- W4322761207 cites W2318853775 @default.
- W4322761207 cites W2340814629 @default.
- W4322761207 cites W2394863005 @default.
- W4322761207 cites W2469798898 @default.
- W4322761207 cites W2558147113 @default.
- W4322761207 cites W2575761150 @default.
- W4322761207 cites W2735239992 @default.
- W4322761207 cites W2753989107 @default.
- W4322761207 cites W2791962995 @default.
- W4322761207 cites W2794118393 @default.
- W4322761207 cites W2796040336 @default.
- W4322761207 cites W2841074136 @default.
- W4322761207 cites W2850755182 @default.
- W4322761207 cites W2913352274 @default.
- W4322761207 cites W2952297896 @default.
- W4322761207 cites W3007246056 @default.
- W4322761207 cites W3008903264 @default.
- W4322761207 cites W3021583869 @default.
- W4322761207 cites W3080858174 @default.
- W4322761207 cites W3133891786 @default.
- W4322761207 cites W3138099608 @default.
- W4322761207 cites W3214826937 @default.
- W4322761207 cites W4293032315 @default.
- W4322761207 doi "https://doi.org/10.1016/j.atmosenv.2023.119688" @default.
- W4322761207 hasPublicationYear "2023" @default.
- W4322761207 type Work @default.
- W4322761207 citedByCount "0" @default.
- W4322761207 crossrefType "journal-article" @default.
- W4322761207 hasAuthorship W4322761207A5000101838 @default.
- W4322761207 hasAuthorship W4322761207A5007246201 @default.
- W4322761207 hasAuthorship W4322761207A5027340392 @default.
- W4322761207 hasAuthorship W4322761207A5032931795 @default.
- W4322761207 hasAuthorship W4322761207A5060476003 @default.
- W4322761207 hasAuthorship W4322761207A5068450362 @default.
- W4322761207 hasAuthorship W4322761207A5070907706 @default.
- W4322761207 hasAuthorship W4322761207A5080784945 @default.
- W4322761207 hasBestOaLocation W43227612071 @default.
- W4322761207 hasConcept C105795698 @default.
- W4322761207 hasConcept C105923489 @default.
- W4322761207 hasConcept C126314574 @default.
- W4322761207 hasConcept C152877465 @default.
- W4322761207 hasConcept C153294291 @default.
- W4322761207 hasConcept C178790620 @default.
- W4322761207 hasConcept C185592680 @default.
- W4322761207 hasConcept C203032635 @default.
- W4322761207 hasConcept C205649164 @default.
- W4322761207 hasConcept C24245907 @default.
- W4322761207 hasConcept C33923547 @default.
- W4322761207 hasConcept C39432304 @default.
- W4322761207 hasConcept C82685317 @default.
- W4322761207 hasConceptScore W4322761207C105795698 @default.
- W4322761207 hasConceptScore W4322761207C105923489 @default.
- W4322761207 hasConceptScore W4322761207C126314574 @default.
- W4322761207 hasConceptScore W4322761207C152877465 @default.
- W4322761207 hasConceptScore W4322761207C153294291 @default.
- W4322761207 hasConceptScore W4322761207C178790620 @default.
- W4322761207 hasConceptScore W4322761207C185592680 @default.
- W4322761207 hasConceptScore W4322761207C203032635 @default.
- W4322761207 hasConceptScore W4322761207C205649164 @default.
- W4322761207 hasConceptScore W4322761207C24245907 @default.
- W4322761207 hasConceptScore W4322761207C33923547 @default.
- W4322761207 hasConceptScore W4322761207C39432304 @default.
- W4322761207 hasConceptScore W4322761207C82685317 @default.
- W4322761207 hasFunder F4320336687 @default.
- W4322761207 hasLocation W43227612071 @default.