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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Risk Factors Associated With Clinical Malaria Episodes In Bangladesh: A Longitudinal Study, Ubydul Haque, Gregory E. Glass, Arne Bomblies, Masahiro Hashizume, Dipak Mitra, Nawajish Noman, Waziul Haque, M. Moktadir Kabir, Taro Yamamoto, Hans J. Overgaard
Risk Factors Associated With Clinical Malaria Episodes In Bangladesh: A Longitudinal Study, Ubydul Haque, Gregory E. Glass, Arne Bomblies, Masahiro Hashizume, Dipak Mitra, Nawajish Noman, Waziul Haque, M. Moktadir Kabir, Taro Yamamoto, Hans J. Overgaard
College of Engineering and Mathematical Sciences Faculty Publications
Malaria is endemic to Bangladesh. In this longitudinal study, we used hydrologic, topographic, and socioeconomic risk factors to explain single and multiple malaria infections at individual and household levels. Malaria incidence was determined for 1,634 households in 54 villages in 2009 and 2010. During the entire study period 21.8% of households accounted for all (n = 497) malaria cases detected; 15.4% of households had 1 case and 6.4% had ≥2 cases. The greatest risk factors for malaria infection were low bed net ratio per household, house construction materials (wall), and high density of houses. Hydrologic and topographic factors were not …
Subsurface Characterization Of Groundwater Contaminated By Landfill Leachate Using Microbial Community Profile Data And A Nonparametric Decision-Making Process, Andrea R. Pearce, Donna M. Rizzo, Paula J. Mouser
Subsurface Characterization Of Groundwater Contaminated By Landfill Leachate Using Microbial Community Profile Data And A Nonparametric Decision-Making Process, Andrea R. Pearce, Donna M. Rizzo, Paula J. Mouser
College of Engineering and Mathematical Sciences Faculty Publications
Microbial biodiversity in groundwater and soil presents a unique opportunity for improving characterization and monitoring at sites with multiple contaminants, yet few computational methods use or incorporate these data because of their high dimensionality and variability. We present a systematic, nonparametric decision-making methodology to help characterize a water quality gradient in leachate-contaminated groundwater using only microbiological data for input. The data-driven methodology is based on clustering a set of molecular genetic-based microbial community profiles. Microbes were sampled from groundwater monitoring wells located within and around an aquifer contaminated with landfill leachate. We modified a self-organizing map (SOM) to weight the …
Enhanced Detection Of Groundwater Contamination From A Leaking Waste Disposal Site By Microbial Community Profiles, Paula J. Mouser, Donna M. Rizzo, Gregory K. Druschel, Sergio E. Morales, Nancy Hayden, Patrick O'Grady, Lori Stevens
Enhanced Detection Of Groundwater Contamination From A Leaking Waste Disposal Site By Microbial Community Profiles, Paula J. Mouser, Donna M. Rizzo, Gregory K. Druschel, Sergio E. Morales, Nancy Hayden, Patrick O'Grady, Lori Stevens
College of Engineering and Mathematical Sciences Faculty Publications
Groundwater biogeochemistry is adversely impacted when municipal solid waste leachate, rich in nutrients and anthropogenic compounds, percolates into the subsurface from leaking landfills. Detecting leachate contamination using statistical techniques is challenging because well strategies or analytical techniques may be insufficient for detecting low levels of groundwater contamination. We sampled profiles of the microbial community from monitoring wells surrounding a leaking landfill using terminal restriction fragment length polymorphism (T-RFLP) targeting the 16S rRNA gene. Results show in situ monitoring of bacteria, archaea, and the family Geobacteraceae improves characterization of groundwater quality. Bacterial T-RFLP profiles showed shifts correlated to known gradients of …