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Optimization and Process Design Tools for Estimation of Weekly exposure to air pollution Integrating Travel Patterns during Pregnancy

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Open Journal of Statistics 2022年第3期12卷 408-432页

作者： Valentin Simoncic Mario Pozzar Christophe Enaux Severine Deguen Wahida Kihal-Talantikite LIVE UMR 7362 CNRS (Laboratoire Image Ville Environnement) University of Strasbourg Strasbourg France ENSAI School for Statistics and Data Science Bruz France Sorbonne Universités UPMC Univ Paris 06 INSERM Institut Pierre Louis d’Epidémiologie et de Santé Publique (UMRS 1136) Department of Social Epidemiology Paris France

A growing number of international studies have highlighted that ambient air pollution exposures are related to different health outcomes. To do so, researchers need to estimate exposure levels to air pollution throughout everyday life. In the literature, the most commonly used estimate is based on home address only or taking into account, in addition, the work address. However, several studies have shown the importance of daily mobility in the estimate of exposure to air pollutants. In this context, we developed an R procedure that estimates individual exposures combining home addresses, several important places, and itineraries of the principal mobility during a week. It supplies researchers a useful tool to calculate individual daily exposition to air pollutants weighting by the time spent at each of the most frequented locations (work, shopping, residential address, etc.) and while commuting. This task requires the efficient calculation of travel time matrices or the examination of multimodal transport routes. This procedure is freely available from the Equit’Area project website: (https://***). This procedure is structured in three parts: the first part is to create a network, the second allows to estimate main itineraries of the daily mobility and the last one tries to reconstitute the level of air pollution exposure. One main advantage of the tool is that the procedure can be used with different spatial scales and for any air pollutant.

关键词： Travel Pattern Road Network air pollution exposure Optimization Tool Process Design

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On the potential of iPhone significant location data to characterize individual mobility for air pollution health studies

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Frontiers of Environmental Science & Engineering 2022年第5期16卷 109-113页

作者： Eastman Elizabeth A.Stevens Kelly Ivey Cesunica Haofei Yu Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFL 32816USA School of Public Administration University of Central FloridaOrlandoFL 32801USA Department of Civil and Environmental Engineering University of California-BerkeleyBerkeleyCA 94720USA

In many air pollution health studies,the time-activity pattern of individuals is often ignored largely due to lack of ***,a better understanding of this location-based information is expected to decrease uncertainties in exposure ***,we showcase the potential of iPhone’s Significant Location(iSL)data in capturing the user’s historical time-activity patterns in order to estimate exposure to ambient air *** this study,one subject carried an iPhone in tandem with a reference GPS tracking device for one *** GPS device recorded locations in 10 second intervals while the iSL recorded the time spent in locations the subject visited *** GPS data as a reference,we then evaluated the accuracy of iSL data in capturing the subject’s time-activity patterns and time-weighted air pollution concentration within the study time *** found the iSL data accurately captured the time the subject spent in 16 microenvironments(*** the subject visited more than once),which was 93%of the time during the study *** average error of time-weighted aerosol optical depth value,a surrogate of particle pollution,is only 0.012%.To explore the availability of iSL data among iPhone users,an online survey was *** the 349 surveyed participants,72%of them have iSL data *** the popularity of iPhones,iSL data may be available for a significant portion of the general *** results suggest iSL data have great potential for characterizing historical time-activity patterns to improve air pollution exposure estimation.

关键词： air pollution exposure Human mobility iPhone Significant Location Smartphone data

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Investigating the impact of air pollution on AMI and COPD hospital admissions in the coastal city of Qingdao,China

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Frontiers of Environmental Science & Engineering 2022年第5期16卷 13-25页

作者： Jiuli Yang Mingyang Liu Qu Cheng Lingyue Yang Xiaohui Sun Haidong Kan Yang Liu Michelle LBell Rohini Dasan Huiwang Gao Xiaohong Yao Yang Gao Key Laboratory of Marine Environmental Science and Ecology and Frontiers Science Center for Deep Ocean Multispheres and Earth System(Ministry of Education)Ocean University of Chinaand Qingdao National Laboratory for Marine Science and TechnologyQingdao 266100China Department of Emergency Internal Medicine The Affiliated Hospital of Qingdao UniversityQingdao 266100China Division of Environmental Health Sciences School of Public HealthUniversity of CaliforniaBerkeleyBerkeleyCA 94720USA Department of Chronic Disease Prevention Qingdao Municipal Center for Disease Control&PreventionQingdao 266100China School of Public Health Key Laboratory of Public Health Safety of the Ministry of EducationFudan UniversityShanghai 200433China Department of Environmental Health Rollins School of Public HealthEmory UniversityAtlantaGA 30322USA School of the Environment Yale UniversityNew HavenCT 06511USA

air pollution has been widely associated with adverse effects on the respiratory and cardiovascular *** investigated the relationship between acute myocardial infarction(AMI),chronic obstructive pulmonary disease(COPD)and air pollution exposure in the coastal city of Qingdao,*** pollution in this region is characterized by inland and oceanic transportation sources in addition to local *** examined the influence of PM_(2.5),PM_(10),NO_(2),SO_(2),CO and O_(3) concentrations on hospital admissions for AMI and COPD from October 1,2014,to September 30,2018,in Qingdao using a Poisson generalized additive model(GAM).We found that PM_(2.5),PM_(10),NO_(2),SO_(2) and CO exhibited a significant short-term(lag 1 day)association with AMI in the singlepollutant model among older adults(>65 years old)and females,especially during the cold season(October to March).In contrast,only NO2 and SO2 had clear cumulative lag associations with COPD admission for females and those over 65 years old at lag 01 and lag 03,*** the twopollutant model,the exposure-response relationship fitted by the two-pollutant model did not change *** findings indicated that there is an inflection point between the concentration of certain air pollutants and the hospital admissions of AMI and COPD even under the linear assumption,indicative of the benefits of reducing air pollution vary with pollution *** study has important implications for the development of policy for air pollution control in Qingdao and the public health benefits of reducing air pollution levels.

关键词： AMI COPD air pollution exposure GAM

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