http://hdl.handle.net/2144/1248 2013-06-18T23:45:01Z 2013-06-18T23:45:01Z Yeshiwondim, Asnakew K Gopal, Sucharita Hailemariam, Afework T Dengela, Dereje O Patel, Hrishikesh P http://hdl.handle.net/2144/3365 2012-01-16T18:01:39Z 2009-01-26T00:00:00Z

Spatial Analysis of Malaria Incidence at the Village Level in Areas with Unstable Transmission in Ethiopia Yeshiwondim, Asnakew K; Gopal, Sucharita; Hailemariam, Afework T; Dengela, Dereje O; Patel, Hrishikesh P BACKGROUND. Malaria is the leading cause of morbidity and mortality in Ethiopia, accounting for over five million cases and thousands of deaths annually. The risks of morbidity and mortality associated with malaria are characterized by spatial and temporal variation across the country. This study examines the spatial and temporal patterns of malaria transmission at the local level and implements a risk mapping tool to aid in monitoring and disease control activities. METHODS. In this study, we examine the global and local patterns of malaria distribution in 543 villages in East Shoa, central Ethiopia using individual-level morbidity data collected from six laboratory and treatment centers between September 2002 and August 2006. RESULTS. Statistical analysis of malaria incidence by sex, age, and village through time reveal the presence of significant spatio-temporal variations. Poisson regression analysis shows a decrease in malaria incidence with increasing age. A significant difference in the malaria incidence density ratio (IDRs) is detected in males but not in females. A significant decrease in the malaria IDRs with increasing age is captured by a quadratic model. Local spatial statistics reveals clustering or hot spots within a 5 and 10 km distance of most villages in the study area. In addition, there are temporal variations in malaria incidence. CONCLUSION. Malaria incidence varies according to gender and age, with males age 5 and above showing a statistically higher incidence. Significant local clustering of malaria incidence occurs between pairs of villages within 1–10 km distance lags. Malaria incidence was higher in 2002–2003 than in other periods of observation. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease.

2009-01-26T00:00:00Z Caldwell, Daniel J. Mastrocco, Frank Nowak, Edward Johnston, James Yekel, Harry Pfeiffer, Danielle Hoyt, Marilyn DuPlessie, Beth M. Anderson, Paul D. http://hdl.handle.net/2144/2816 2012-01-10T07:01:26Z 2010-03-01T00:00:00Z

An Assessment of Potential Exposure and Risk from Estrogens in Drinking Water Caldwell, Daniel J.; Mastrocco, Frank; Nowak, Edward; Johnston, James; Yekel, Harry; Pfeiffer, Danielle; Hoyt, Marilyn; DuPlessie, Beth M.; Anderson, Paul D. BACKGROUND. Detection of estrogens in the environment has raised concerns in recent years because of their potential to affect both wildlife and humans. OBJECTIVES. We compared exposures to prescribed and naturally occurring estrogens in drinking water to exposures to naturally occurring background levels of estrogens in the diet of children and adults and to four independently derived acceptable daily intakes (ADIs) to determine whether drinking water intakes are larger or smaller than dietary intake or ADIs. METHODS. We used the Pharmaceutical Assessment and Transport Evaluation (PhATE) model to predict concentrations of estrogens potentially present in drinking water. Predicted drinking water concentrations were combined with default water intake rates to estimate drinking water exposures. Predicted drinking water intakes were compared to dietary intakes and also to ADIs. We present comparisons for individual estrogens as well as combined estrogens. RESULTS. In the analysis we estimated that a child's exposures to individual prescribed estrogens in drinking water are 730-480,000 times lower (depending upon estrogen type) than exposure to background levels of naturally occurring estrogens in milk. A child's exposure to total estrogens in drinking water (prescribed and naturally occurring) is about 150 times lower than exposure from milk. Adult margins of exposure (MOEs) based on total dietary exposure are about 2 times smaller than those for children. Margins of safety (MOSs) for an adult's exposure to total prescribed estrogens in drinking water vary from about 135 to > 17,000, depending on ADI. MOSs for exposure to total estrogens in drinking water are about 2 times lower than MOSs for prescribed estrogens. Depending on the ADI that is used, MOSs for young children range from 28 to 5,120 for total estrogens (including both prescribed and naturally occurring sources) in drinking water. CONCLUSIONS. The consistently large MOEs and MOSs strongly suggest that prescribed and total estrogens that may potentially be present in drinking water in the United States are not causing adverse effects in U.S. residents, including sensitive subpopulations.

2010-03-01T00:00:00Z Olofsson, Pontus Torchinava, Paata Woodcock, Curtis E Baccini, Alessandro Houghton, Richard A Ozdogan, Mutlu Zhao, Feng Yang, Xiaoyuan http://hdl.handle.net/2144/2645 2011-12-30T07:00:36Z 2010-09-13T00:00:00Z

Implications of Land Use Change on the National Terrestrial Carbon Budget of Georgia Olofsson, Pontus; Torchinava, Paata; Woodcock, Curtis E; Baccini, Alessandro; Houghton, Richard A; Ozdogan, Mutlu; Zhao, Feng; Yang, Xiaoyuan BACKGROUND: Globally, the loss of forests now contributes almost 20% of carbon dioxide emissions to the atmosphere. There is an immediate need to reduce the current rates of forest loss, and the associated release of carbon dioxide, but for many areas of the world these rates are largely unknown. The Soviet Union contained a substantial part of the world's forests and the fate of those forests and their effect on carbon dynamics remain unknown for many areas of the former Eastern Bloc. For Georgia, the political and economic transitions following independence in 1991 have been dramatic. In this paper we quantify rates of land use changes and their effect on the terrestrial carbon budget for Georgia. A carbon book-keeping model traces changes in carbon stocks using historical and current rates of land use change. Landsat satellite images acquired circa 1990 and 2000 were analyzed to detect changes in forest cover since 1990. RESULTS: The remote sensing analysis showed that a modest forest loss occurred, with approximately 0.8% of the forest cover having disappeared after 1990. Nevertheless, growth of Georgian forests still contribute a current national sink of about 0.3 Tg of carbon per year, which corresponds to 31% of the country anthropogenic carbon emissions. CONCLUSIONS: We assume that the observed forest loss is mainly a result of illegal logging, but we have not found any evidence of large-scale clear-cutting. Instead local harvesting of timber for household use is likely to be the underlying driver of the observed logging. The Georgian forests are a currently a carbon sink and will remain as such until about 2040 if the current rate of deforestation persists. Forest protection efforts, combined with economic growth, are essential for reducing the rate of deforestation and protecting the carbon sink provided by Georgian forests.

2010-09-13T00:00:00Z