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  1. Article: PM

    Chan, Elizabeth A W / Fann, Neal / Kelly, James T

    Atmospheric environment (Oxford, England : 1994)

    2023  Volume 315, Page(s) 1–9

    Abstract: Epidemiologic studies have consistently observed associations between fine particulate matter ( ... ...

    Abstract Epidemiologic studies have consistently observed associations between fine particulate matter (PM
    Language English
    Publishing date 2023-12-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 216368-8
    ISSN 1352-2310 ; 0004-6981
    ISSN 1352-2310 ; 0004-6981
    DOI 10.1016/j.atmosenv.2023.120131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Applying a multistate survival model to explore the role of fine particles in promoting frailty in the Medicare cohort.

    Fann, Neal / Zanobetti, Antonella / Mork, Daniel / Steinhardt, William / Rappold, Ana G

    Environmental epidemiology (Philadelphia, Pa.)

    2024  Volume 8, Issue 1, Page(s) e285

    Abstract: Fine particle pollution is a well-established risk to human health. Observational epidemiology generally treats events as though they are independent of one another and so do not examine the role air pollution may play in promoting the progression of ... ...

    Abstract Fine particle pollution is a well-established risk to human health. Observational epidemiology generally treats events as though they are independent of one another and so do not examine the role air pollution may play in promoting the progression of disease. Multistate survival models account for the complex pathway of disease to death. We employ a multistate survival model to characterize the role of chronic exposure to PM
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Journal Article
    ISSN 2474-7882
    ISSN (online) 2474-7882
    DOI 10.1097/EE9.0000000000000285
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Quantifying Multipollutant Health Impacts Using the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE): A Case Study in Atlanta, Georgia.

    Coffman, Evan / Rappold, Ana G / Nethery, Rachel C / Anderton, Jim / Amend, Meredith / Jackson, Melanie A / Roman, Henry / Fann, Neal / Baker, Kirk R / Sacks, Jason D

    Environmental health perspectives

    2024  Volume 132, Issue 3, Page(s) 37003

    Abstract: Background: Air pollution risk assessments do not generally quantify health impacts using multipollutant risk estimates, but instead use results from single-pollutant or copollutant models. Multipollutant epidemiological models account for pollutant ... ...

    Abstract Background: Air pollution risk assessments do not generally quantify health impacts using multipollutant risk estimates, but instead use results from single-pollutant or copollutant models. Multipollutant epidemiological models account for pollutant interactions and joint effects but can be computationally complex and data intensive. Risk estimates from multipollutant studies are therefore challenging to implement in the quantification of health impacts.
    Objectives: Our objective was to conduct a case study using a developmental multipollutant version of the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) to estimate the health impact associated with changes in multiple air pollutants using both a single and multipollutant approach.
    Methods: BenMAP-CE was used to estimate the change in the number of pediatric asthma emergency department (ED) visits attributable to simulated changes in air pollution between 2011 and 2025 in Atlanta, Georgia, applying risk estimates from an epidemiological study that examined short-term single-pollutant and multipollutant (with and without first-order interactions) exposures. Analyses examined individual pollutants (i.e., ozone, fine particulate matter, carbon monoxide, nitrogen dioxide (
    Results: Photochemical modeling predicted large decreases in most of the examined pollutant concentrations between 2011 and 2025 based on sector specific (i.e., source-based) estimates of growth and anticipated controls. Estimated number of avoided asthma ED visits attributable to any given multipollutant group were generally higher when using results from models that included interaction terms in comparison with those that did not. We estimated the greatest number of avoided pediatric asthma ED visits for pollutant groups that include
    Discussion: Performing a multipollutant health impact assessment is technically feasible but computationally complex. It requires time, resources, and detailed input parameters not commonly reported in air pollution epidemiological studies. Results estimated using the sum of single-pollutant models are comparable to those quantified using a multipollutant model. Although limited to a single study and location, assessing the trade-offs between a multipollutant and single-pollutant approach is warranted. https://doi.org/10.1289/EHP12969.
    MeSH term(s) Child ; Humans ; Georgia/epidemiology ; Environmental Pollutants ; Asthma/epidemiology ; Oxidants ; Particulate Matter
    Chemical Substances Environmental Pollutants ; Oxidants ; Particulate Matter
    Language English
    Publishing date 2024-03-06
    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/EHP12969
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  4. Article ; Online: Evaluating the sensitivity of mortality attributable to pollution to modeling Choices: A case study for Colorado.

    deSouza, Priyanka N / Anenberg, Susan / Fann, Neal / McKenzie, Lisa M / Chan, Elizabeth / Roy, Ananya / Jimenez, Jose L / Raich, William / Roman, Henry / Kinney, Patrick L

    Environment international

    2024  Volume 185, Page(s) 108416

    Abstract: We evaluated the sensitivity of estimated ... ...

    Abstract We evaluated the sensitivity of estimated PM
    MeSH term(s) Air Pollutants/adverse effects ; Air Pollutants/analysis ; Air Pollution/adverse effects ; Air Pollution/analysis ; Particulate Matter/adverse effects ; Particulate Matter/analysis ; Colorado/epidemiology ; Nitrogen Dioxide/analysis ; Environmental Exposure/adverse effects ; Environmental Exposure/analysis
    Chemical Substances Air Pollutants ; Particulate Matter ; Nitrogen Dioxide (S7G510RUBH)
    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.2024.108416
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: CABOT-O

    Bielen, David A / Macpherson, Alexander J / Simon, Heather / Fann, Neal

    Environmental science & technology

    2020  Volume 54, Issue 21, Page(s) 13370–13378

    Abstract: Macpherson et al. (2017) presented a mathematical programming model that identifies minimum-cost control strategies that reduce emissions regionally to meet ambient air quality targets. This project introduces the Cost And Benefit Optimization Tool for ... ...

    Abstract Macpherson et al. (2017) presented a mathematical programming model that identifies minimum-cost control strategies that reduce emissions regionally to meet ambient air quality targets. This project introduces the Cost And Benefit Optimization Tool for Ozone (CABOT-O
    MeSH term(s) Air Pollutants/analysis ; Air Pollution/analysis ; Models, Theoretical ; Ozone/analysis ; Particulate Matter/analysis ; United States
    Chemical Substances Air Pollutants ; Particulate Matter ; Ozone (66H7ZZK23N)
    Language English
    Publishing date 2020-10-21
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.0c01053
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Estimating Lifetime Cost of Illness. An Application to Asthma.

    Belova, Anna / Fann, Neal / Haskell, Jacqueline / Hubbell, Bryan / Narayan, Tulika

    Annals of the American Thoracic Society

    2020  Volume 17, Issue 12, Page(s) 1558–1569

    Abstract: Rationale: ...

    Abstract Rationale:
    MeSH term(s) Asthma/epidemiology ; Asthma/therapy ; Cost of Illness ; Efficiency ; Health Care Costs ; Health Expenditures ; Humans
    Language English
    Publishing date 2020-10-22
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2717461-X
    ISSN 2325-6621 ; 1943-5665 ; 2325-6621
    ISSN (online) 2325-6621 ; 1943-5665
    ISSN 2325-6621
    DOI 10.1513/AnnalsATS.201910-729OC
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health.

    Fann, Neal L / Nolte, Christopher G / Sarofim, Marcus C / Martinich, Jeremy / Nassikas, Nicholas J

    JAMA network open

    2021  Volume 4, Issue 1, Page(s) e2032064

    Abstract: Importance: Future changes in climate are likely to adversely affect human health by affecting concentrations of particulate matter sized less than 2.5 μm (PM2.5) and ozone (O3) in many areas. However, the degree to which these outcomes may be mitigated ...

    Abstract Importance: Future changes in climate are likely to adversely affect human health by affecting concentrations of particulate matter sized less than 2.5 μm (PM2.5) and ozone (O3) in many areas. However, the degree to which these outcomes may be mitigated by reducing air pollutant emissions is not well understood.
    Objective: To model the associations between future changes in climate, air quality, and human health for 2 climate models and under 2 air pollutant emission scenarios.
    Design, setting, and participants: This modeling study simulated meteorological conditions over the coterminous continental US during a 1995 to 2005 baseline and over the 21st century (2025-2100) by dynamically downscaling representations of a high warming scenario from the Community Earth System Model (CESM) and the Coupled Model version 3 (CM3) global climate models. Using a chemical transport model, PM2.5 and O3 concentrations were simulated under a 2011 air pollutant emission data set and a 2040 projection. The changes in PM2.5 and O3-attributable deaths associated with climate change among the US census-projected population were estimated for 2030, 2050, 2075, and 2095 for each of 2 emission inventories and climate models. Data were analyzed from June 2018 to June 2020.
    Main outcomes and measures: The main outcomes were simulated change in summer season means of the maximum daily 8-hour mean O3, annual mean PM2.5, population-weighted exposure, and the number of avoided or incurred deaths associated with these pollutants. Results are reported for 2030, 2050, 2075, and 2095, compared with 2000, for 2 climate models and 2 air pollutant emissions data sets.
    Results: The projected increased maximum daily temperatures through 2095 were up to 7.6 °C for the CESM model and 11.8 °C for the CM3 model. Under each climate model scenario by 2095, compared with 2000, an estimated additional 21 000 (95% CI, 14 000-28 000) PM2.5-attributable deaths and 4100 (95% CI, 2200-6000) O3-attributable deaths were projected to occur. These projections decreased to an estimated 15 000 (95% CI, 10 000-20 000) PM2.5-attributable deaths and 640 (95% CI, 340-940) O3-attributable deaths when simulated using a future emission inventory that accounted for reduced anthropogenic emissions.
    Conclusions and relevance: These findings suggest that reducing future air pollutant emissions could also reduce the climate-driven increase in deaths associated with air pollution by hundreds to thousands.
    MeSH term(s) Air Pollutants/toxicity ; Air Pollution ; Climate Change ; Forecasting ; Humans ; Models, Theoretical ; Mortality/trends ; Ozone/toxicity ; Particulate Matter/toxicity ; Seasons ; United States
    Chemical Substances Air Pollutants ; Particulate Matter ; Ozone (66H7ZZK23N)
    Language English
    Publishing date 2021-01-04
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2020.32064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Reanalysis of the association between reduction in long-term PM

    Kim, Sun-Young / Pope, Arden C / Marshall, Julian D / Fann, Neal / Sheppard, Lianne

    Environmental health : a global access science source

    2021  Volume 20, Issue 1, Page(s) 102

    Abstract: Background: Much of the current evidence of associations between long-term PM: Methods: We used the same data for life expectancy and confounders, as well as the same analysis models, and investigated the same 211 continental U.S. counties, as Pope ... ...

    Abstract Background: Much of the current evidence of associations between long-term PM
    Methods: We used the same data for life expectancy and confounders, as well as the same analysis models, and investigated the same 211 continental U.S. counties, as Pope et al. (2009). For modeled PM
    Results: A 10 μg/m
    Conclusions: Our approach for estimating population- and spatially-representative PM
    MeSH term(s) Air Pollutants/analysis ; Environmental Monitoring ; Humans ; Life Expectancy ; Models, Theoretical ; Particulate Matter/analysis ; United States
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-09-13
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 1476-069X
    ISSN (online) 1476-069X
    DOI 10.1186/s12940-021-00785-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The recent and future health burden of the U.S. mobile sector apportioned by source.

    Davidson, Kenneth / Fann, Neal / Zawacki, Margaret / Fulcher, Charles / Baker, Kirk R

    Environmental research letters : ERL [Web site

    2021  Volume 15, Issue 7

    Abstract: Mobile sources emit particulate matter as well as precursors to particulate matter ( ... ...

    Abstract Mobile sources emit particulate matter as well as precursors to particulate matter (PM
    Language English
    Publishing date 2021-03-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2255379-4
    ISSN 1748-9326
    ISSN 1748-9326
    DOI 10.1088/1748-9326/ab83a8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Quantifying the Public Health Benefits of Reducing Air Pollution: Critically Assessing the Features and Capabilities of WHO's AirQ+ and U.S. EPA's Environmental Benefits Mapping and Analysis Program - Community Edition (BenMAP - CE).

    Sacks, Jason D / Fann, Neal / Gumy, Sophie / Kim, Ingu / Ruggeri, Giulia / Mudu, Pierpaolo

    Atmosphere

    2020  Volume 11, Issue 5, Page(s) 1–15

    Abstract: Scientific evidence spanning experimental and epidemiologic studies has shown that air pollution exposures can lead to a range of health effects. Quantitative approaches that allow for the estimation of the adverse health impacts attributed to air ... ...

    Abstract Scientific evidence spanning experimental and epidemiologic studies has shown that air pollution exposures can lead to a range of health effects. Quantitative approaches that allow for the estimation of the adverse health impacts attributed to air pollution enable researchers and policy analysts to convey the public health impact of poor air quality. Multiple tools are currently available to conduct such analyses, which includes software packages designed by the World Health Organization (WHO): AirQ+, and the U.S. Environmental Protection Agency (U.S. EPA): Environmental Benefits Mapping and Analysis Program - Community Edition (BenMAP - CE), to quantify the number and economic value of air pollution-attributable premature deaths and illnesses. WHO's AirQ+ and U.S. EPA's BenMAP - CE are among the most popular tools to quantify these effects as reflected by the hundreds of peer-reviewed publications and technical reports over the past two decades that have employed these tools spanning many countries and multiple continents. Within this paper we conduct an analysis using common input parameters to compare AirQ+ and BenMAP - CE and show that the two software packages well align in the calculation of health impacts. Additionally, we detail the research questions best addressed by each tool.
    Language English
    Publishing date 2020-08-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2605928-9
    ISSN 2073-4433
    ISSN 2073-4433
    DOI 10.3390/atmos11050516
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