Download or read book A Methodology for Estimating Air Pollution Health Effects written by Bart D. Ostro and published by . This book was released on 1996 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimating the Public Health Benefits of Proposed Air Pollution Regulations written by National Research Council and published by National Academies Press. This book was released on 2002-10-30 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: EPA estimates that thousands of premature deaths and cases of illnesses may be avoided by reducing air pollution. At the request of Congress, this report reviews the scientific basis of EPA's methods used in estimating the public health benefits from its air pollution regulations.
Download or read book Air Pollution the Automobile and Public Health written by Sponsored by The Health Effects Institute and published by National Academies Press. This book was released on 1988-01-01 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The combination of scientific and institutional integrity represented by this book is unusual. It should be a model for future endeavors to help quantify environmental risk as a basis for good decisionmaking." â€"William D. Ruckelshaus, from the foreword. This volume, prepared under the auspices of the Health Effects Institute, an independent research organization created and funded jointly by the Environmental Protection Agency and the automobile industry, brings together experts on atmospheric exposure and on the biological effects of toxic substances to examine what is knownâ€"and not knownâ€"about the human health risks of automotive emissions.
Download or read book Exposure Assessment in Environmental Epidemiology written by Mark J. Nieuwenhuijsen and published by Oxford University Press, USA. This book was released on 2015 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This completely updated edition of Exposure Assessment in Environmental Epidemiology offers a practical introduction to exposure assessment methodologies in environmental epidemiologic studies. In addition to methods for traditional methods -- questionnaires, biomonitoring -- this new edition is expanded to include geographic information systems, modeling, personal sensoring, remote sensing, and OMICs technologies. In addition, each of these methods is contextualized within a recent epidemiology study, maximizing illustration for students and those new to these to these techniques. With clear writing and extensive illustration, this book will be useful to anyone interested in exposure assessment, regardless of background.
Download or read book Monitoring Ambient Air Quality for Health Impact Assessment written by World Health Organization. Regional Office for Europe and published by WHO Regional Office Europe. This book was released on 1999 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the principles and methods of air quality assessment aimed at measuring population exposure to ambient air pollutants and estimating the effects on health. Addressed to policy-makers as well as scientists engaged in air quality monitoring, the book responds to the failure of most monitoring systems to provide data that are useful in estimating and managing threats to health. The need for exposure data on populations at special risk is also addressed. Throughout, emphasis is placed on methods of monitoring and modelling that are cost-effective, targeted, and appropriate to local and national conditions. The report has six chapters. The first introduces WHO activities related to air quality management and explains the need for monitoring systems capable of assessing health impact. The types of information required for health impact assessment are described in chapter two, which outlines several methods of monitoring and modelling that can be used to measure the level and distribution of exposure to air pollutants in populations, identify population groups with high exposure, and estimate adverse effects on health. Chapter three formulates a general concept of air quality assessment, offering advice on principles for designing a monitoring network, interpreting and reporting data, and solving problems with quality assurance. Also included is a comparison of the advantages, disadvantages, and costs of different methods for air quality monitoring. Against this background, the fourth and most extensive chapter describes specific methods for the monitoring of carbon monoxide, ozone, sulfur dioxide, nitrogen dioxide, particulate matter, benzene, polycyclic aromatic hydrocarbons, lead, and atmospheric cadmium. Monitoring strategies for each pollutant are presented according to a standard format, which covers health effects, sources and exposure patterns, monitoring methods, recommended strategies for monitoring and assessment, and a practical example. The remaining chapters offer advice on the collation, analysis, interpretation, and dissemination of data, and summarize the main conclusions and recommendations of the report. Detailed technical guidelines for the use of various methods and models are provided in a series of annexes. The report also reproduces the newly revised WHO air quality guidelines for Europe.
Download or read book Statistical Methods for Environmental Epidemiology with R written by Roger D. Peng and published by Springer Science & Business Media. This book was released on 2008-12-15 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
Download or read book Air Quality written by Sunil Kumar and published by IntechOpen. This book was released on 2012-02-29 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports research on relationship between fungal contamination and its health effects in large Asian cities, estimation of ambient air quality in Delhi, a qualitative study of air pollutants from road traffic, air quality in low-energy buildings, some aspects of the Sentinel method for pollution problem, evaluation of dry atmospheric deposition at sites in the vicinity of fuel oil fired power, particles especially PM 10 in the indoor environment, etc.
Download or read book Methods Development for Assessing Air Pollution Control Benefits Brookshire D S et al Experiments in valuing non market goods A case study of alternative benefit measures of air pollution control in the south coast air basin of Southern California written by United States. Environmental Protection Agency. Office of Health and Ecological Effects and published by . This book was released on 1979 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Indoor Pollutants written by National Research Council and published by National Academies Press. This book was released on 1981-01-01 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses pollution from tobacco smoke, radon and radon progeny, asbestos and other fibers, formaldehyde, indoor combustion, aeropathogens and allergens, consumer products, moisture, microwave radiation, ultraviolet radiation, odors, radioactivity, and dirt and discusses means of controlling or eliminating them.
Download or read book Methods development for assessing air pollution control benefits written by United States. Environmental Protection Agency. Office of Health and Ecological Effects and published by . This book was released on 1979 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Methods Development for Assessing Air Pollution Control Benefits Experiments in the economics of air pollution epidemiology written by United States. Environmental Protection Agency. Office of Health and Ecological Effects and published by . This book was released on 1979 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimating Mortality Risk Reduction and Economic Benefits from Controlling Ozone Air Pollution written by National Research Council and published by National Academies Press. This book was released on 2008-07-21 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: In light of recent evidence on the relationship of ozone to mortality and questions about its implications for benefit analysis, the Environmental Protection Agency asked the National Research Council to establish a committee of experts to evaluate independently the contributions of recent epidemiologic studies to understanding the size of the ozone-mortality effect in the context of benefit analysis. The committee was also asked to assess methods for estimating how much a reduction in short-term exposure to ozone would reduce premature deaths, to assess methods for estimating associated increases in life expectancy, and to assess methods for estimating the monetary value of the reduced risk of premature death and increased life expectancy in the context of health-benefits analysis. Estimating Mortality Risk Reduction and Economic Benefits from Controlling Ozone Air Pollution details the committee's findings and posits several recommendations to address these issues.
Download or read book Air Quality Guidelines written by World Health Organization and published by World Health Organization. This book was released on 2006 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents revised guideline values for the four most common air pollutants - particulate matter, ozone, nitrogen dioxide and sulfur dioxide - based on a recent review of the accumulated scientific evidence. The rationale for selection of each guideline value is supported by a synthesis of information emerging from research on the health effects of each pollutant. As a result, these guidelines now also apply globally. They can be read in conjunction with Air quality guidelines for Europe, 2nd edition, which is still the authority on guideline values for all other air pollutants. As well as revised guideline values, this book makes a brief yet comprehensive review of the issues affecting the application of the guidelines in risk assessment and policy development. Further, it summarizes information on: . pollution sources and levels in various parts of the world, . population exposure and characteristics affecting sensitivity to pollution, . methods for quantifying the health burden of air pollution, and . the use of guidelines in developing air quality standards and other policy tools. Finally, the special case of indoor air pollution is explored. Prepared by a large team of renowned international experts who considered conditions in various parts of the globe, these guidelines are applicable throughout the world. They provide reliable guidance for policy-makers everywhere when considering the various options for air quality management.
Download or read book Methods Development for Assessing Air Pollution Control Benefits written by and published by . This book was released on 1979 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Overview of methods to assess population exposure to ambient air pollution written by World Health Organization and published by World Health Organization. This book was released on 2023-09-25 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Air Quality and Human Health written by Pratap Kumar Padhy and published by Springer Nature. This book was released on with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Exposure Response Estimation in Air Pollution Health Effects Assessments written by Bernard Sam Beckerman and published by . This book was released on 2014 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the 3.7 million deaths attributed to outdoor air pollution, ischemic heart disease (IHD) represents 40% of the total deaths, or approximately 1.48 million deaths, which occur mainly in older adults. IHD is the largest single causes of death attributable to ambient air pollution. Research on the progression and incidence of IHD are pointing to ambient fine particulate matter (PM) as a major contributor to morbidity and mortality outcomes. In this context, improvements in air pollution exposure assessment methods and health effects assessments are developed and investigated in this thesis. With the exposure assessment, methods and tools were created that had utility for improving air pollution exposure assessment. Two exposure assessment chapters are presented. The first of these is focused on the creation of a national-level spatio-temporal air pollution exposure model. In the second exposure chapter, emphasis is placed on the development and evaluation of methods used to estimate annual average daily traffic - a local source of ambient particulates and other air pollutants thought to have heightened toxicity. A model was created to predict ambient fine particulate matter less than 2.5 microns in aerodynamic diameter (PM2.5) across the contiguous United States to be applied to health effects modeling (Chapter 2). We developed a novel hybrid approach that combine a land use regression model (LUR) and Bayesian Maximum Entropy (BME) interpolation of the LUR space-time residuals,. The PM2.5 dataset included observations at 1,464 monitoring locations with approximately 10% of locations reserved for cross-validation across the contiguous United States. In the LUR, variables based on remote sensing estimates of PM2.5, land use and traffic indicators were made available to the Deletion/Substitution/Addition machine learning algorithm used to select predictive models describing local variability in PM2.5. Two modeling configurations were tested. The first included all of the available covariates; and the second did not include the remote sensing. The remote sensing variable was not based on any ground information. Specific results showed that normalized cross-validated R2 values for LUR were 0.63 and 0.11 with and without remote sensing, respectively; suggesting remote sensing is a strong predictor of ground-level concentrations. In the models including the BME interpolation of the residuals, cross-validated R2 were 0.79 for both configurations; the model without remotely sensed data described more fine-scale variation than the model including remote sensing. Our results suggest that our modeling framework effectively predicts ground-level concentrations of PM2.5 at multiple scales over the contiguous U.S. The network interpolation tool used to estimate traffic is described in Chapter 3. The program was created using free open-source software, namely Python 2.7 and its related libraries. It was applied to two county study areas in California, USA (Alameda and Los Angeles), where inverse distance weighted (IDW) and kriging annual average daily traffic (AADT) models were estimated. These estimates were compared to: each other; to an entirely independent dataset; and against a traffic model using similar methods to those used in the traffic estimates employed in the exposure model in Chapter 2. Results show different levels of predictive agreement. Using cross-validation methods, the R2 for these models were 0.36 and 0.32 in Alameda and 0.46 and 0.47 in Los Angeles, for IDW and Kriging, respectively. Differences in model performance seen between and within the study area suggest that data issues may have materially contributed; these include: temporal discordance in the measurements and mischaracterization of road types. A comparison of network interpolation methods to those used to estimate traffic in Chapter 2 found the network methods to be superior. For the health effects analysis that that estimated an exposure response curve describing the effect of PM2.5 on ischemic heart disease mortality, monthly ambient PM2.5 estimates (from the model outlined in Chapter 2) were averaged to represent long-term exposure at the home. Super Learner evaluated 14 models that fell within the classes of parametric, semi-parametric, and non-parametric models. A generalized additive model with splined terms was identified as being most predictive of life expectancy. Over the range of exposure 3-27 μg/m3 the estimated years of life lost over this interval was 0.6 years. This relationship, however, was not linear. It followed the pattern reported in previous studies with increased risk rates at lower exposures and a flattening out of the curve at higher exposures. An inflection point appeared to occur near 10 μg/m3. These estimates failed to reach significance at the 95% confidence criteria but were close enough to be suggestive of a relationship. Results from a complementary simulation showed that left truncation characteristics of the cohort likely biased to results towards the null. In addition, the use of inverse probability of censoring weights to control for bias induced by right censoring added variability to the estimator that likely reduced the power to detect and effect. This research has shown the utility of machine-learning algorithms for improving health effects assessments in the field of air pollution epidemiology. In exposure science, they have proven their utility in creating estimates of exposure that can be used to characterize multiple scales of variability. In health effects assessments, in combination with causal inference methods, this work has shown the utility of these methods to detect non-linear effects in novel parameter estimates in individual cohort studies. In addition to the methodological contribution, the health effects results contribute to the discussion about the burden of disease attributable to particulate matter.
