Biomedical subjects

Jonathan I Levy

Publications and source records attributed to Jonathan I Levy.

24 records · Page 2Linked to original sources

PubMed2002

Exposure efficiency: an idea whose time has come?

Exposure efficiency, the fraction of material released from a source that is eventually inhaled or ingested, is arguably the simplest of all possible descriptions of the link between pollutant emissions and population exposures. This paper, prepared in late 1999 for the SGOMSEC Workshop, notes that several groups of researchers independently developed the concept of exposure efficiency in the late 1980s and early 1990s but argues that the potential importance of exposure efficiency in risk analysis and life cycle assessment has only recently been appreciated. The paper reviews the history of the concept; discusses and summarizes previous estimates of exposure efficiency for particulate matter and other air pollutants; presents new values for fine particulate matter emitted from power plants and mobile sources in the United States; and illustrates how preliminary estimates of exposure efficiency might be developed. The authors assert that in order for the concept of exposure efficiency to achieve its full potential exposure efficiency estimates for a wide variety of pollutants and sources must be developed and that both the results and methods must be made widely available and accessible to the community of risk assessors and life cycle analysts.

Air Pollutants↗

PubMed2002

Particulate matter and polycyclic aromatic hydrocarbon concentrations in indoor and outdoor microenvironments in Boston, Massachusetts.

Estimating personal exposures to air pollution is a crucial component in identifying high-risk populations and determining efficient control strategies. Because of the difficulty of comprehensively measuring personal exposure, data on air pollution patterns in homogenous microenvironments linked with activity data are often used as surrogates. In this study, we focus on strengthening the available information about nonresidential microenvironmental exposures to particulate matter and other combustion pollutants. During the summer of 2000, we measured ultrafine particles, fine particulate matter (PM2.5), and particle-bound polycyclic aromatic hydrocarbons (PAHs) outdoors and in indoor microenvironments in Boston, Massachusetts. In indoor microenvironments averaged across sample days, mean ultrafine particle concentrations ranged from 3800 to 140,000 particles/cm(3), with 7-200 microg/m(3) of PM2.5 and 5-12 ng/m(3) of particle-bound PAH. PM2.5 indoor-outdoor ratios generally exceeded 1 in settings with high levels of human activity, with lower ratios for ultrafine particles. Cooking activities contributed significantly to elevated levels of all three pollutants. Using Linear Mixed Effects models with AR-1 autoregressive correlation structures, 10-min average outdoor concentrations were generally weak predictors of indoor levels, with stronger relationships in an apartment without mechanical ventilation than in air-conditioned nonresidential settings. Although further study would be needed to determine whether these patterns could be generalized beyond the monitored sites, these data support previous findings and enhance our knowledge about nonresidential exposure patterns.

Air Pollutants↗

PubMed2002

Modeling the benefits of power plant emission controls in Massachusetts.

Older fossil-fueled power plants provide a significant portion of emissions of criteria air pollutants in the United States, in part because these facilities are not required to meet the same emission standards as new sources under the Clean Air Act. Pending regulations for older power plants need information about any potential public health benefits of emission reductions, which can be estimated by combining emissions information, dispersion modeling, and epidemiologic evidence. In this article, we develop an analytical modeling framework that can evaluate health benefits of emission controls, and we apply our model to two power plants in Massachusetts. Using the CALPUFF atmospheric dispersion model, we estimate that use of Best Available Control Technology (BACT) for NOx and SO2 would lead to maximum annual average secondary particulate matter (PM) concentration reductions of 0.2 microg/m3. When we combine concentration reductions with current health evidence, our central estimate is that the secondary PM reductions from these two power plants would avert 70 deaths per year in a population of 33 million individuals. Although benefit estimates could differ substantially with different interpretations of the health literature, parametric perturbations within CALPUFF and other simple model changes have relatively small impacts from an aggregate risk perspective. While further analysis would be required to reduce uncertainties and expand on our analytical model, our framework can help decision-makers evaluate the magnitude and distribution of benefits under different control scenarios.

Air Pollutants↗

PubMed2002

Integrating risk assessment and life cycle assessment: a case study of insulation.

Increasing residential insulation can decrease energy consumption and provide public health benefits, given changes in emissions from fuel combustion, but also has cost implications and ancillary risks and benefits. Risk assessment or life cycle assessment can be used to calculate the net impacts and determine whether more stringent energy codes or other conservation policies would be warranted, but few analyses have combined the critical elements of both methodologies In this article, we present the first portion of a combined analysis, with the goal of estimating the net public health impacts of increasing residential insulation for new housing from current practice to the latest International Energy Conservation Code (IECC 2000). We model state-by-state residential energy savings and evaluate particulate matter less than 2.5 microm in diameter (PM2.5), NOx, and SO2 emission reductions. We use past dispersion modeling results to estimate reductions in exposure, and we apply concentration-response functions for premature mortality and selected morbidity outcomes using current epidemiological knowledge of effects of PM2.5 (primary and secondary). We find that an insulation policy shift would save 3 x 10(14) British thermal units or BTU (3 x 10(17) J) over a 10-year period, resulting in reduced emissions of 1,000 tons of PM2.5, 30,000 tons of NOx, and 40,000 tons of SO2. These emission reductions yield an estimated 60 fewer fatalities during this period, with the geographic distribution of health benefits differing from the distribution of energy savings because of differences in energy sources, population patterns, and meteorology. We discuss the methodology to be used to integrate life cycle calculations, which can ultimately yield estimates that can be compared with costs to determine the influence of external costs on benefit-cost calculations.

Air Pollution↗

PubMed2002

The importance of population susceptibility for air pollution risk assessment: a case study of power plants near Washington, DC.

In evaluating risks from air pollution, health impact assessments often focus on the magnitude of the impacts without explicitly considering the distribution of impacts across subpopulations. In this study, we constructed a model to estimate the magnitude and distribution of health benefits associated with emission controls at five older power plants in the Washington, DC, area. We used the CALPUFF atmospheric dispersion model to determine the primary and secondary fine-particulate-matter (< 2.5 micro m in aerodynamic diameter) concentration reductions associated with the hypothetical application of "Best Available Control Technology" to the selected power plants. We combined these concentration reductions with concentration-response functions for mortality and selected morbidity outcomes, using a conventional approach as well as considering susceptible subpopulations. Incorporating susceptibility had a minimal effect on total benefits, with central estimates of approximately 240 fewer premature deaths, 60 fewer cardiovascular hospital admissions (CHA), and 160 fewer pediatric asthma emergency room visits (ERV) per year. However, because individuals with lower education appear to have both higher background mortality rates and higher relative risks for air-pollution-related mortality, stratifying by educational attainment implies that 51% of the mortality benefits accrue among the 25% of the population with less than high school education. Similarly, diabetics and African Americans bear disproportionate shares of the CHA and ERV benefits, respectively. Although our ability to characterize subpopulations is constrained by the available information, our analysis demonstrates that incorporation of susceptibility information significantly affects demographic and geographic patterns of health benefits and enhances our understanding of individuals likely to benefit from emission controls.

Adolescent↗

PubMedDate not supplied

Issues and uncertainties in estimating the health benefits of air pollution control.

The estimation of health benefits from reductions in ambient air pollution requires information both about the relationship between concentrations and health effects and about the ultimate value of health outcomes. In this commentary, I discuss significant issues and uncertainties that must be addressed for both elements. Critical issues for concentration-response estimation include the shape of the concentration-response curve at current and projected ambient levels, the relevant exposure period, the existence of high-risk subpopulations, and the ability to generalize across study settings. Health outcomes can be valued using either health-based measures like quality-adjusted life years or economic measures like value of statistical life; the choice of measure has a significant effect on the magnitude and distribution of health benefits. Analysts estimating health benefits for ultimate benefit-cost applications should provide results using multiple valuation frameworks and multiple assumptions about health evidence to facilitate interpretation and to determine whether policy decisions depend on these assumptions.

Air Pollutants↗