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Pregnancy Air Exposure: An R Package for Estimation of Exposure to Air Pollution during Critical Windows of Pregnancy 被引量:1
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作者 Séverine Deguen Laure Nicollet +5 位作者 Morgane Gilles Arlette Danzon Olivier Blanchard Géraldine Le Nir denis zmirou-navier Wahida Kihal-Talantikite 《Open Journal of Statistics》 2017年第3期422-433,共12页
Today, it is well known that ambient air pollution exposures may be related with different health outcomes including adverse birth outcomes (for instance, low birth weight and preterm birth). Then, researchers must es... Today, it is well known that ambient air pollution exposures may be related with different health outcomes including adverse birth outcomes (for instance, low birth weight and preterm birth). Then, researchers must estimate exposure to air pollution during different critical windows of exposure across pregnancy. In the literature, the most commonly examined critical windows of exposure are the first, second, and third trimesters of pregnancy, although the entire pregnancy is also studied. In this context, we developed an automatic procedure which estimates individual exposures by trimester. We illustrate usage of the Pregnancy Air Exposure package for all births within the city of Paris in 2011. Nitrogen dioxide data from monitoring stations and data modeled at the census block level were available from the air quality monitoring networks of Ile de France Region. Nitrogen dioxide, NO2, has been chosen as an indicator of traffic-generated pollution. Newborn health data are available from the first birth certificate registered by the Maternal and Child Care department of Paris;more specifically, we used the date of birth and the gestational age to individually determine the beginning and the end of each trimester. The Pregnancy Air Exposure R package was created to simplify application of the procedure for non-specialists, and is freely available from the Equit’Area project website: (www.equitarea.org/documents/package_Exposure). The package contains two functions as well as the help files needed to run the procedure and yields air pollution exposure estimates by pregnancy trimester. The two functions can be used successively or independently according to the available input data. 展开更多
关键词 Air Pollution EXPOSURE PREGNANT Women CRITICAL WINDOW of EXPOSURE R Software
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SesIndexCreatoR:An R Package for Socioeconomic Indices Computation and Visualization
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作者 Benoit Lalloue Severine Deguen +4 位作者 Jean-Marie Monnez Cindy Padilla Wahida Kihal denis zmirou-navier Nolwenn Le Meur 《Open Journal of Statistics》 2015年第4期291-302,共12页
In order to study social inequalities, indices can be used to summarize the multiple dimensions of the socioeconomic status. As a part of the Equit’Area Project, a public health program focused on social and environm... In order to study social inequalities, indices can be used to summarize the multiple dimensions of the socioeconomic status. As a part of the Equit’Area Project, a public health program focused on social and environmental health inequalities;a statistical procedure to create (neighborhood) socioeconomic indices was developed. This procedure uses successive principal components analyses to select variables and create the index. In order to simplify the application of the procedure for non-specialists, the R package SesIndexCreatoR was created. It allows the creation of the index with all the possible options of the procedure, the classification of the resulting index in categories using several classical methods, the visualization of the results, and the generation of automatic reports. 展开更多
关键词 Socioeconomic Status Multidimensional Index Principal Component Analysis Hierarchical Classification R
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