Browsing by Author "Marmagas, Susan West"
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- Associations between Fecal Indicator Bacteria Prevalence and Demographic Data in Private Water Supplies in VirginiaSmith, Tamara L. (Virginia Tech, 2013-06-12)Over 1.7 million Virginians rely on private water systems to supply household water. The heaviest reliance on these systems occurs in rural areas, which are often underserved in terms of financial resources and access to environmental health education. As the Safe Drinking Water Act (SDWA) does not regulate private water systems, it is the sole responsibility of the homeowner to maintain and monitor these systems. Previous limited studies indicate that microbial contamination of drinking water from private wells and springs is far from uncommon, ranging from 10% to 68%, depending on type of organism and geological region. With the exception of one thirty-year old government study on rural water supplies, there have been no documented investigations of links between private system water contamination and household demographic characteristics, making the design of effective public health interventions, very difficult. The goal of the present study is to identify potential associations between concentrations of fecal indicator bacteria (e.g. coliforms, E. coli) in 831 samples collected at the point-of-use in homes with private water supply systems and homeowner-provided demographic data (e.g. homeowner age, household income, education, water quality perception). Household income and the education of the perceived head of household were determined to have an association with bacteria concentrations. However, when a model was developed to evaluate strong associations between total coliform presence and potential predictors, no demographic parameters were deemed significant enough to be included in the final model. Of the 831 samples tested, 349 (42%) of samples tested positive for total coliform and 55 (6.6%) tested positive for E. coli contamination. Chemical and microbial source tracking efforts using fluorometry and qPCR suggested possible E. coli contamination from human septage in 21 cases. The findings of this research can ultimately aid in determining effective strategies for public health intervention and gain a better understanding of interactions between demographic data and private system water quality.
- Cumberland Plateau Health District 2009-2010 Flu Season Vaccine Study: Final ReportMarmagas, Susan West; Dannenberg, Clare; Hausman, Bernice L.; Anthony, Elizabeth; Boyer, Stacy Bingham; Fortenberry, Lauren; Lawrence, Heidi (Virginia Tech, 2011-08-31)The Cumberland Plateau Health District of the Virginia Department of Health commissioned a team of faculty at Virginia Tech in 2011 to conduct a small pilot study of seasonal flu and H1N1 vaccination practices in Far Southwest Virginia. The study was conducted between February and July 2011. The purpose of the study was two-fold: Understand the reasons why two specific populations (parents of elementary school-aged children and 18-25 year olds) chose to vaccinate or not vaccinate for H1N1 and seasonal flu in 2009-10, and Identify the contributing factors (e.g. logistical barriers, intentional reasons, or parental disengagement) that led to a decision to either vaccinate or not vaccinate. The study was conducted in a small rural county with a significant portion of the population living below the poverty line. The area ranks low in Virginia for health outcomes with more than one quarter of residents reporting to be in poor or fair health in nationally tracked county health statistics. The study had three components: a survey of 86 family units in two elementary schools, indepth in-person follow-up interviews with nine families, and a survey of 158 18-25 year-olds in two educational institutions in the region.
- Ecological and Human Health in Rural CommunitiesGohlke, Julia M.; Kolivras, Korine N.; Krometis, Leigh-Anne H.; Marmagas, Susan West; Marr, Linsey C.; Satterwhite, Emily M.; Angermeier, Paul L.; Clark, Susan F.; Ranganathan, Shyam; Schoenholtz, Stephen H.; Swarup, Samarth; Thompson, Christopher K. (2017-05-15)Environmental exposures to chemicals and microbes in the air we breathe, the water we drink, the food we eat, and the objects we touch are now recognized to be responsible for 90% of all human illness. This suggests that well-documented health disparities within and between nations have significant geographic and ecological as well as socioeconomic dimensions that must be addressed in order to secure human well-being at local to global scales. While urbanization is a primary driver of global change, it is widely acknowledged that urbanization is dependent on large-scale resource extraction and agriculture in rural communities. Despite considerable evidence linking human industrial and agricultural activities to ecological health (i.e. health of an ecosystem including the non-human organisms that inhabit it), very little data are available directly linking exposure to environmental pollution and human health in rural areas, which have repeatedly been identified as subject to the most extreme health disparities...
- Environmental health disparities in the Central Appalachian region of the United StatesKrometis, Leigh-Anne H.; Gohlke, Julia M.; Kolivras, Korine N.; Satterwhite, Emily M.; Marmagas, Susan West; Marr, Linsey C. (De Gruyter, 2017-09-26)Health disparities that cannot be fully explained by socio-behavioral factors persist in the Central Appalachian region of the United States. A review of available studies of environmental impacts on Appalachian health and analysis of recent public data indicates that while disparities exist, most studies of local environmental quality focus on the preservation of nonhuman biodiversity rather than on effects on human health. The limited public health studies available focus primarily on the impacts of coal mining and do not measure personal exposure, constraining the ability to identify causal relationships between environmental conditions and public health. Future efforts must engage community members in examining all potential sources of environmental health disparities to identify effective potential interventions.