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Jefferson Inmon  - - - 
Top co-authors See all
David M. Reif

81 shared publications

Bioinformatics Research Center, Center for Human Health and the Environment, Dept. of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

Elaine A. Cohen Hubal

16 shared publications

National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA

Ronald Williams

16 shared publications

Environmental Protection Agency, Research Triangle Park, NC 27711, USA

Danelle T. Lobdell

13 shared publications

U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, MD 58A, Research Triangle Park, NC 27711, USA

Laura Jackson

12 shared publications

Office of Research and Development, US Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA

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Article 2 Reads 5 Citations Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 ... Jane E. Gallagher, Elaine Cohen Hubal, Laura Jackson, Jeffer... Published: 22 February 2013
Sustainability, doi: 10.3390/su5020789
DOI See at publisher website ABS Show/hide abstract
Waste and materials management, land use planning, transportation and infrastructure including water and energy can have indirect or direct beneficial impacts on the environment and public health. The potential for impact, however, is rarely viewed in an integrated fashion. To facilitate such an integrated view in support of community-based policy decision making, we catalogued and evaluated associations between common, publically available, Environmental (e), Health (h), and Sustainability (s) metrics and sociodemographic measurements (n = 10) for 50 populous U.S. cities. E, H, S indices combined from two sources were derived from component (e) (h) (s) metrics for each city. A composite EHS Index was derived to reflect the integration across the E, H, and S indices. Rank order of high performing cities was highly dependent on the E, H and S indices considered. When viewed together with sociodemographic measurements, our analyses further the understanding of the interplay between these broad categories and reveal significant sociodemographic disparities (e.g., race, education, income) associated with low performing cities. Our analyses demonstrate how publically available environmental, health, sustainability and socioeconomic data sets can be used to better understand interconnections between these diverse domains for more holistic community assessments.
Article 3 Reads 5 Citations Mechanistic indicators of childhood asthma (MICA) study: piloting an integrative design for evaluating environmental hea... Jane Gallagher, Edward Hudgens, Ann Williams, Jefferson Inmo... Published: 19 May 2011
BMC Public Health, doi: 10.1186/1471-2458-11-344
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Asthma is a common complex disease responsible for considerable morbidity and mortality, particularly in urban minority populations. The Mechanistic Indicators of Childhood Asthma study was designed to pilot an integrative approach in children's health research. The study incorporates exposure metrics, internal dose measures, and clinical indicators to decipher the biological complexity inherent in diseases such as asthma and cardiovascular disease with etiology related to gene-environment interactions. 205 non-asthmatic and asthmatic children, (9-12 years of age) from Detroit, Michigan were recruited. The study includes environmental measures (indoor and outdoor air, vacuum dust), biomarkers of exposure (cotinine, metals, total and allergen specific Immunoglobulin E, polycyclic aromatic hydrocarbons, volatile organic carbon metabolites) and clinical indicators of health outcome (immunological, cardiovascular and respiratory). In addition, blood gene expression and candidate SNP analyses were conducted. Based on an integrative design, the MICA study provides an opportunity to evaluate complex relationships between environmental factors, physiological biomarkers, genetic susceptibility and health outcomes. PROJECT APPROVAL: IRB Number 05-EPA-2637: The human subjects' research protocol was reviewed by the Institutional Review Board (IRB) of the University of North Carolina; the IRB of Westat, Inc., the IRB of the Henry Ford Health System; and EPA's Human Subjects' Research Review Official.
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