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  1. Article ; Online: Exposure assessment for air pollution epidemiology: A scoping review of emerging monitoring platforms and designs

    Kim, Sun Young / Blanco, Magali / Bi, Jianzhao / Larson, Timothy V. / Sheppard, Lianne

    Environmental Research. 2023, p.115451-

    2023  , Page(s) 115451–

    Abstract: Both exposure monitoring and exposure prediction have played key roles in assessing individual-level long-term exposure to air pollutants and their associations with human health. While there have been notable advances in exposure prediction methods, ... ...

    Abstract Both exposure monitoring and exposure prediction have played key roles in assessing individual-level long-term exposure to air pollutants and their associations with human health. While there have been notable advances in exposure prediction methods, improvements in monitoring designs are also necessary, particularly given new monitoring paradigms leveraging low-cost sensors and mobile platforms. We aim to provide a conceptual summary of novel monitoring designs for air pollution cohort studies that leverage new paradigms and technologies, to investigate their characteristics in real-world examples, and to offer practical guidance to future studies. We propose a conceptual summary that focuses on two overarching types of monitoring designs, mobile and non-mobile, as well as their subtypes. We define mobile designs as monitoring from a moving platform, and non-mobile designs as stationary monitoring from permanent or temporary locations. We only consider non-mobile studies with cost-effective sampling devices. Then we discuss similarities and differences across previous studies with respect to spatial and temporal representation, data comparability between design classes, and the data leveraged for model development. Finally, we provide specific suggestions for future monitoring designs. Most mobile and non-mobile monitoring studies selected monitoring sites based on land use instead of residential locations, and deployed monitors over limited time periods. Some studies applied multiple design and/or sub-design classes to the same area, time period, or instrumentation, to allow comparison. Even fewer studies leveraged monitoring data from different designs to improve exposure assessment by capitalizing on different strengths. In order to maximize the benefit of new monitoring technologies, future studies should adopt monitoring designs that prioritize residence-based site selection with comprehensive temporal coverage and leverage data from different designs for model development in the presence of good data compatibility. Our conceptual overview provides practical guidance on novel exposure assessment monitoring for epidemiological applications.
    Keywords air pollution ; chronic exposure ; cost effectiveness ; epidemiology ; exposure assessment ; human health ; instrumentation ; land use ; prediction ; research ; Cohort ; Low-cost sensor ; Mobile monitoring ; Monitoring design ; New technology ; Ultrafine particles
    Language English
    Publishing place Elsevier Inc.
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2023.115451
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  2. Article ; Online: Characterizing Ultrafine Particle Mobile Monitoring Data for Epidemiology.

    Doubleday, Annie / Blanco, Magali N / Austin, Elena / Marshall, Julian D / Larson, Timothy V / Sheppard, Lianne

    Environmental science & technology

    2023  Volume 57, Issue 26, Page(s) 9538–9547

    Abstract: Mobile monitoring is increasingly used to assess exposure to traffic-related air pollutants (TRAPs), including ultrafine particles (UFPs). Due to the rapid spatial decrease in the concentration of UFPs and other TRAPs with distance from roadways, mobile ... ...

    Abstract Mobile monitoring is increasingly used to assess exposure to traffic-related air pollutants (TRAPs), including ultrafine particles (UFPs). Due to the rapid spatial decrease in the concentration of UFPs and other TRAPs with distance from roadways, mobile measurements may be non-representative of residential exposures, which are commonly used for epidemiologic studies. Our goal was to develop, apply, and test one possible approach for using mobile measurements in exposure assessment for epidemiology. We used an absolute principal component score model to adjust the contribution of on-road sources in mobile measurements to provide exposure predictions representative of cohort locations. We then compared UFP predictions at residential locations from mobile on-road plume-adjusted versus stationary measurements to understand the contribution of mobile measurements and characterize their differences. We found that predictions from mobile measurements are more representative of cohort locations after down-weighting the contribution of localized on-road plumes. Further, predictions at cohort locations derived from mobile measurements incorporate more spatial variation compared to those from short-term stationary data. Sensitivity analyses suggest that this additional spatial information captures features in the exposure surface not identified from the stationary data alone. We recommend the correction of mobile measurements to create exposure predictions representative of residential exposure for epidemiology.
    MeSH term(s) Humans ; Particulate Matter/analysis ; Air Pollutants/analysis ; Air Pollution/analysis ; Environmental Monitoring ; Vehicle Emissions/analysis
    Chemical Substances Particulate Matter ; Air Pollutants ; Vehicle Emissions
    Language English
    Publishing date 2023-06-16
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.3c00800
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  3. Article ; Online: Exposure assessment for air pollution epidemiology: A scoping review of emerging monitoring platforms and designs.

    Kim, Sun-Young / Blanco, Magali N / Bi, Jianzhao / Larson, Timothy V / Sheppard, Lianne

    Environmental research

    2023  Volume 223, Page(s) 115451

    Abstract: Background: Both exposure monitoring and exposure prediction have played key roles in assessing individual-level long-term exposure to air pollutants and their associations with human health. While there have been notable advances in exposure prediction ...

    Abstract Background: Both exposure monitoring and exposure prediction have played key roles in assessing individual-level long-term exposure to air pollutants and their associations with human health. While there have been notable advances in exposure prediction methods, improvements in monitoring designs are also necessary, particularly given new monitoring paradigms leveraging low-cost sensors and mobile platforms.
    Objectives: We aim to provide a conceptual summary of novel monitoring designs for air pollution cohort studies that leverage new paradigms and technologies, to investigate their characteristics in real-world examples, and to offer practical guidance to future studies.
    Methods: We propose a conceptual summary that focuses on two overarching types of monitoring designs, mobile and non-mobile, as well as their subtypes. We define mobile designs as monitoring from a moving platform, and non-mobile designs as stationary monitoring from permanent or temporary locations. We only consider non-mobile studies with cost-effective sampling devices. Then we discuss similarities and differences across previous studies with respect to spatial and temporal representation, data comparability between design classes, and the data leveraged for model development. Finally, we provide specific suggestions for future monitoring designs.
    Results: Most mobile and non-mobile monitoring studies selected monitoring sites based on land use instead of residential locations, and deployed monitors over limited time periods. Some studies applied multiple design and/or sub-design classes to the same area, time period, or instrumentation, to allow comparison. Even fewer studies leveraged monitoring data from different designs to improve exposure assessment by capitalizing on different strengths. In order to maximize the benefit of new monitoring technologies, future studies should adopt monitoring designs that prioritize residence-based site selection with comprehensive temporal coverage and leverage data from different designs for model development in the presence of good data compatibility.
    Discussion: Our conceptual overview provides practical guidance on novel exposure assessment monitoring for epidemiological applications.
    MeSH term(s) Humans ; Particulate Matter/analysis ; Environmental Monitoring/methods ; Air Pollution/analysis ; Air Pollutants/analysis ; Residence Characteristics
    Chemical Substances Particulate Matter ; Air Pollutants
    Language English
    Publishing date 2023-02-09
    Publishing country Netherlands
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2023.115451
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  4. Article: Estimating long-term PM10-2.5 concentrations in six US cities using satellite-based aerosol optical depth data

    Pedde, Meredith / Kloog, Itai / Szpiro, Adam / Dorman, Michael / Larson, Timothy V. / Adar, Sara D.

    Atmospheric environment. 2022 Mar. 01, v. 272

    2022  

    Abstract: A major challenge in assessing the health risks of PM₁₀₋₂.₅ is the limited ground-level measurement data from which to estimate exposure. This is especially problematic for studying long-term PM₁₀₋₂.₅ health effects since PM₁₀₋₂.₅ is more spatially ... ...

    Abstract A major challenge in assessing the health risks of PM₁₀₋₂.₅ is the limited ground-level measurement data from which to estimate exposure. This is especially problematic for studying long-term PM₁₀₋₂.₅ health effects since PM₁₀₋₂.₅ is more spatially variable than PM₂.₅ or PM₁₀, particularly in urban areas. Fortunately, Aerosol Optical Depth (AOD) data from satellites offer opportunities to assess PM₁₀₋₂.₅ more broadly. Our project leverages measurements from NASA's Terra satellite to estimate long-term PM₁₀₋₂.₅ concentrations in six US urban areas (Los Angeles, CA; Chicago, IL; St. Paul, MN; Baltimore, MD; New York, NY; Winston-Salem, NC) for 2000–2012. We calibrated AOD (1 km² resolution) with EPA monitored PM₁₀ and PM₂.₅ levels daily using an area-specific mixed-modeling approach with land-use regression. We then used spatial smoothing in generalized additive mixed-models to predict daily PM₁₀ and PM₂.₅ when AOD was missing. PM₁₀₋₂.₅ was estimated after taking the difference of spatially matched PM₁₀ and PM₂.₅ daily predictions. Model performance for our long-term average predictions was evaluated using leave-one-station-out cross-validation and compared to alternative, nearest-monitor and inverse distance weighting (IDW) approaches. Final long-term PM₁₀₋₂.₅ predictions were well correlated with measured levels estimated from collocated PM₂.₅ and PM₁₀ sites in five of the six areas, with spatial CV R² ranging from 0.50 to 0.97. Only in Winston-Salem did the model have very little predictive ability (R²: 0.34). All spatial predictions performed better than the nearest-monitor and IDW alternatives. In contrast, our final PM₁₀₋₂.₅ predictions had poor temporal performance, with mean monitor-level CV R² ranging from 0.15 to 0.42. Given the superior performance of our spatial predictions compared to nearest-monitor and IDW alternatives and the high costs of field sampling, our results show the potential for combining AOD data with land-use regression to estimate long-term PM₁₀₋₂.₅ concentrations in localized areas.
    Keywords aerosols ; environment ; land use ; model validation ; satellites ; statistical models ; New York
    Language English
    Dates of publication 2022-0301
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 216368-8
    ISSN 0004-6981 ; 1352-2310
    ISSN 0004-6981 ; 1352-2310
    DOI 10.1016/j.atmosenv.2022.118945
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  5. Article ; Online: Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models.

    Blanco, Magali N / Bi, Jianzhao / Austin, Elena / Larson, Timothy V / Marshall, Julian D / Sheppard, Lianne

    Environmental science & technology

    2022  Volume 57, Issue 1, Page(s) 440–450

    Abstract: Short-term mobile monitoring campaigns are increasingly used to assess long-term air pollution exposure in epidemiology. Little is known about how monitoring network design features, including the number of stops and sampling temporality, impacts ... ...

    Abstract Short-term mobile monitoring campaigns are increasingly used to assess long-term air pollution exposure in epidemiology. Little is known about how monitoring network design features, including the number of stops and sampling temporality, impacts exposure assessment models. We address this gap by leveraging an extensive mobile monitoring campaign conducted in the greater Seattle area over the course of a year during all days of the week and most hours. The campaign measured total particle number concentration (PNC; sheds light on ultrafine particulate (UFP) number concentration), black carbon (BC), nitrogen dioxide (NO
    MeSH term(s) Air Pollutants/analysis ; Nitrogen Dioxide/analysis ; Carbon Dioxide ; Environmental Monitoring ; Air Pollution/analysis ; Particulate Matter/analysis ; Soot/analysis
    Chemical Substances Air Pollutants ; Nitrogen Dioxide (S7G510RUBH) ; Carbon Dioxide (142M471B3J) ; Particulate Matter ; Soot
    Language English
    Publishing date 2022-12-12
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.2c05338
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  6. Article: Aircraft noise and vehicle traffic-related air pollution interact to affect preterm birth risk in Los Angeles, California

    Wing, Sam E. / Larson, Timothy V. / Hudda, Neelakshi / Boonyarattaphan, Sarunporn / Del Rosario, Irish / Fruin, Scott / Ritz, Beate

    Science of the total environment. 2022 July 10, v. 829

    2022  

    Abstract: Air pollution has been linked to preterm birth (PTB) while findings for noise exposure have been mixed. Few studies – none considering airports – have investigated combined exposures. We explore the relationship between joint exposure to airport-related ... ...

    Abstract Air pollution has been linked to preterm birth (PTB) while findings for noise exposure have been mixed. Few studies – none considering airports – have investigated combined exposures. We explore the relationship between joint exposure to airport-related noise, airport ultrafine particles (UFP), and vehicle traffic-related air pollution (TRAP) on risk of PTB near Los Angeles International Airport (LAX). We used comprehensive birth data for mothers living ≤15 km from LAX from 2008 to 2016 (n = 174,186) Noise data were generated by monitor-validated models. NO₂ was used as a TRAP proxy, estimated with a seasonally-adjusted, validated land-use regression model. We estimated the effects of exposure to airport-related noise and TRAP on PTB employing logistic regression models that adjusted for known maternal risk factors for PTB as well as aircraft-origin UFP and neighborhood characteristics. The adjusted odds ratio (aOR) for PTB from high noise exposure (i.e. > 65 dB) was 1.10 (95% CI: 1.01–1.19). Relative to the first quartile, the aORs for PTB in the second, third, and fourth TRAP quartiles were 1.10 (95% CI: 1.05–1.16), 1.11 (95% CI: 1.05–1.16), and 1.15 (95% CI: 1.10–1.22), respectively. When stratifying by increasing TRAP quartiles, the aORs for PTB with high airport-related noise were 1.04 (95% CI: 0.91–1.18), 1.02 (95% CI: 0.88–1.19), 1.24 (95% CI: 1.03–1.48), and 1.44 (95% CI: 1.08–1.91) (p-interaction = 0.06). Our results suggest a potential synergism between airport-related noise and TRAP exposures on increasing the risk of PTB in this metropolitan area.
    Keywords air pollution ; aircraft ; airports ; environment ; land use ; metropolitan areas ; noise pollution ; odds ratio ; premature birth ; regression analysis ; synergism ; California
    Language English
    Dates of publication 2022-0710
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.154678
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  7. Article ; Online: Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study.

    Blanco, Magali N / Shaffer, Rachel M / Li, Ge / Adar, Sara D / Carone, Marco / Szpiro, Adam A / Kaufman, Joel D / Larson, Timothy V / Hajat, Anjum / Larson, Eric B / Crane, Paul K / Sheppard, Lianne

    Environment international

    2024  Volume 183, Page(s) 108418

    Abstract: Background: While epidemiologic evidence links higher levels of exposure to fine particulate matter (PM: Objective: To evaluate associations between TRAP exposures (UFP, black carbon [BC], and nitrogen dioxide [NO: Methods: We ascertained dementia ...

    Abstract Background: While epidemiologic evidence links higher levels of exposure to fine particulate matter (PM
    Objective: To evaluate associations between TRAP exposures (UFP, black carbon [BC], and nitrogen dioxide [NO
    Methods: We ascertained dementia incidence in the Seattle-based Adult Changes in Thought (ACT) prospective cohort study (beginning in 1994) and assessed ten-year average TRAP exposures for each participant based on prediction models derived from an extensive mobile monitoring campaign. We applied Cox proportional hazards models to investigate TRAP exposure and dementia incidence using age as the time axis and further adjusting for sex, self-reported race, calendar year, education, socioeconomic status, PM
    Results: We identified 1,041 incident all-cause dementia cases in 4,283 participants over 37,102 person-years of follow-up. We did not find evidence of a greater hazard of late-life dementia incidence with elevated levels of long-term TRAP exposures. The estimated hazard ratio of all-cause dementia was 0.98 (95 % CI: 0.92-1.05) for every 2000 pt/cm
    Discussion: We did not find evidence of a greater hazard of late-life dementia risk with elevated long-term TRAP exposures in this population-based prospective cohort study.
    MeSH term(s) Adult ; Humans ; Air Pollutants/analysis ; Air Pollution/analysis ; Environmental Exposure/analysis ; Prospective Studies ; Nitrogen Dioxide/analysis ; Incidence ; Particulate Matter/analysis ; Dementia/epidemiology
    Chemical Substances Air Pollutants ; Nitrogen Dioxide (S7G510RUBH) ; Particulate Matter
    Language English
    Publishing date 2024-01-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 554791-x
    ISSN 1873-6750 ; 0160-4120
    ISSN (online) 1873-6750
    ISSN 0160-4120
    DOI 10.1016/j.envint.2024.108418
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  8. Article ; Online: Coarse Particulate Matter and Markers of Inflammation and Coagulation in the Multi-Ethnic Study of Atherosclerosis (MESA) Population: A Repeat Measures Analysis.

    Pedde, Meredith / Larson, Timothy V / D'Souza, Jennifer / Szpiro, Adam A / Kloog, Itai / Lisabeth, Lynda D / Jacobs, David / Sheppard, Lianne / Allison, Matthew / Kaufman, Joel D / Adar, Sara D

    Environmental health perspectives

    2024  Volume 132, Issue 2, Page(s) 27009

    Abstract: Background: In contrast to fine particles, less is known of the inflammatory and coagulation impacts of coarse particulate matter (: Objectives: We used new spatiotemporal exposure models to examine associations of both 1-y and 1-month average : ... ...

    Abstract Background: In contrast to fine particles, less is known of the inflammatory and coagulation impacts of coarse particulate matter (
    Objectives: We used new spatiotemporal exposure models to examine associations of both 1-y and 1-month average
    Methods: We leveraged data from 7,071 Multi-Ethnic Study of Atherosclerosis and ancillary study participants 45-84 y of age who had repeated plasma measures of inflammatory and coagulation biomarkers. We estimated
    Results: Increases in
    Discussion: We found no evidence that
    MeSH term(s) Humans ; Interleukin-6 ; Inflammation/epidemiology ; C-Reactive Protein ; Fibrinogen ; Atherosclerosis/epidemiology ; Particulate Matter
    Chemical Substances Interleukin-6 ; C-Reactive Protein (9007-41-4) ; Fibrinogen (9001-32-5) ; Particulate Matter
    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 195189-0
    ISSN 1552-9924 ; 0091-6765 ; 1078-0475
    ISSN (online) 1552-9924
    ISSN 0091-6765 ; 1078-0475
    DOI 10.1289/EHP12972
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  9. Article: Probabilistic predictive principal component analysis for spatially misaligned and high-dimensional air pollution data with missing observations.

    Vu, Phuong T / Larson, Timothy V / Szpiro, Adam A

    Environmetrics

    2019  Volume 31, Issue 4

    Abstract: Accurate predictions of pollutant concentrations at new locations are often of interest in air pollution studies on fine particulate matters ( ... ...

    Abstract Accurate predictions of pollutant concentrations at new locations are often of interest in air pollution studies on fine particulate matters (PM
    Language English
    Publishing date 2019-12-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 1095769-8
    ISSN 1099-095X ; 1180-4009
    ISSN (online) 1099-095X
    ISSN 1180-4009
    DOI 10.1002/env.2614
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  10. Article ; Online: Predicting PM

    Lagesse, Brent / Wang, Shuoqi / Larson, Timothy V / Kim, Amy A

    Environmental science & technology

    2020  Volume 54, Issue 23, Page(s) 15320–15328

    Abstract: Although the exposure to ... ...

    Abstract Although the exposure to PM
    MeSH term(s) Air Pollutants/analysis ; Air Pollution, Indoor/analysis ; Environmental Monitoring ; Neural Networks, Computer ; Particulate Matter/analysis
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2020-11-17
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.0c02549
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