- Shifting terrains: Understanding residential contaminants after flood disasters , SCIENCE OF THE TOTAL ENVIRONMENT (2024)
- Safe Today, Unsafe Tomorrow: Tanzanian Households Experience Variability in Drinking Water Quality , ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)
- Timing and Trends for Municipal Wastewater, Lab-Confirmed Case , and Syndromic Case Surveillance of COVID-19 in Raleigh, North Carolina , AMERICAN JOURNAL OF PUBLIC HEALTH (2023)
- Using detrending to assess SARS-CoV-2 wastewater loads as a leading indicator of fluctuations in COVID-19 cases at fine temporal scales: Correlations across twenty sewersheds in North Carolina , PLOS Water (2023)
- Comparing Rates of Change in SARS-CoV-2 Wastewater Load and Clinical Cases in 19 Sewersheds Across Four Major Metropolitan Areas in the United States , ACS ES&T Water (2022)
- Differential Overlap in Human and Animal Fecal Microbiomes and Resistomes in Rural versus Urban Bangladesh , APPLIED AND ENVIRONMENTAL MICROBIOLOGY (2022)
- Exploring the determinants and indicators of poultry feces management behaviors in rural Western Uganda , SCIENCE OF THE TOTAL ENVIRONMENT (2022)
- Modeling Exposure to Fecal Contamination in Drinking Water due to Multiple Water Source Use , ENVIRONMENTAL SCIENCE & TECHNOLOGY (2022)
- Validation of a modified IDEXX defined-substrate assay for detection of antimicrobial resistant E. coli in environmental reservoirs , ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS (2022)
- Food, water, and sanitation insecurities: Complex linkages and implications for achieving WASH security , GLOBAL PUBLIC HEALTH (2021)
This project is to provide an 8-week international research experience for NC State students to work in Malawi, with partners from Malawi University of Science and Technology and Mzuzu University. The research will focus on research gaps in Water, Sanitation, and Hygiene (WaSH).
Project Summary: Effective riparian vegetative buffers and wetlands are carbon sinks, minimize nutrient input, soil erosion and related runoff into adjacent surface waters. They are an essential component of livestock environmental resource management and mitigate the movement of nitrogenous and fecal waste from livestock operations and manure management fields into waterways. Watersheds in the coastal plain of North Carolina include a mixture of homes, businesses, livestock operations and other forms of agriculture. Each is a potential source of nutrient and fecal waste in surface waters. Watershed contamination with nutrients or fecal waste are traditionally considered to be non-point sources of contamination. However, all fecal waste has a vertebrate animal origin, and the species of origin varies with adjacent land-use practices. All vertebrates release cells from their gastrointestinal tract in their feces. These cells contain mitochondrial DNA (mtDNA), a routine aspect of forensic investigation that can be applied to identify the animal hosts associated with fecal waste. An mtDNA-based assay we have developed can now specifically attribute the source of fecal waste to humans, livestock (cattle, pigs, poultry, goats), companion animals (dog, cat) and wildlife (white-tailed deer and Canada goose). We propose a comprehensive cross-sectional study to identify locations contaminated by nitrate and fecal waste in mixed use livestock intensive areas of the lower Neuse and Cape Fear watersheds. The study will be conducted with the aim of identifying the presence of fecal contamination and attributing the source of fecal contamination to their species of origin. Water grab samples will be screened for Enterococcus spp. as an indicator of fecal contamination. Samples from positive locations will then be tested for vertebrate mtDNA to attribute the contamination to specific species. Additional sampling at positive sites will assess fecal waste input during storm events. Riparian areas adjacent to waterways testing positive will be visualized using satellite imagery to identify proximity to potential sources of contamination with the identified species. Samples will be assessed for the potential correlation of fecal sources with ammonium, nitrate, chloride, silicate, phosphate, dissolved organic nitrogen and dissolved organic nitrogen. We will conduct community design charettes with cooperating town environmental management personnel and residents, in cooperation with local extension agents and resource managers to identify opportunities for riparian vegetative buffer or wetlands enhancement. Specific objectives include: 1) Identifying locations in agricultural livestock intensive areas where water quality is being degraded by nitrogenous and fecal waste; 2) Identifying riparian locations that will benefit from buffer or wetlands development or refinement; and 3) Working with community stakeholders to develop a plan for buffer and wetland development or refinement. The studies reflect the ecosystem health-oriented objectives of the Environmental Enhancement Grant (EEG) program by facilitating efforts to identify locations that would benefit from either the introduction of vegetative buffers or wetlands or the potential refinement or restoration of existing buffers or wetlands.
The ability to continuously monitor fecal bacteria concentrations in nearshore waters through field sensing has the potential to transform the way in which bacteria-driven public health risks are anticipated, mitigated, and managed by allowing for near real-time detection and the creation of high-quality datasets from which forecast models can be developed. Advances in freshwater monitoring reveal that fecal contamination can be predicted using data collected via high-frequency water quality sondes, but additional research is needed to extend these frameworks to coastal waters. We propose to observe water quality conditions every 15 minutes in Bald Head Creek, North Carolina, a tributary of the Cape Fear River, using a multiparameter sonde (YSI EXO2). The sonde will include sensors to monitor conductivity, temperature, dissolved oxygen, pH, turbidity, total algae (phycocyanin, phycoerythrin, and chlorophyll), fluorescent dissolved organic matter, tryptophan-like fluorescence, and water depth. In addition to observing water quality variables, we will analyze creek water samples for fecal indicator bacteria, antibiotic resistant bacteria, amino acids, and particulate and dissolved organic carbon isotopic signatures across four intensive field campaigns. Data collected via this project will be used to develop an innovative observation and machine learning modeling framework for predicting fecal contamination at high frequencies. Insights gained through the project will be shared with local and federal partners (e.g., Village of Bald Head Island, NC Coastal Federation, FDA Division of Seafood Science).
Social scientists have turned to phenomenological, subjective measures of resource insecurity and have cogently demonstrated importance of water insecurity in predicting psycho-emotional and physical health outcomes (Hadley and Wutich 2009; Stevenson et al. 2012; Workman and Urkesoy 2017; Wutich 2006; Wutich and Ragsdale 2008). However, there remains a need to compare these experiential subjective measures with objective measures of water scarcity to better understand the predictive capacity of each and to fully understand the interrelationship between co-occurring stressors. This proposed research combines ethnographic methods with anthropometric assessments and quantitative measures of household water and food insecurity and community-level hydrological data. The objectives of this research are four-fold, Objective 1: ethnographically explore the lived experience of water insecurity in Morogoro, Tanzania, Objective 2: compare objective and subjective measures of water insecurity to understand how these factors predict psycho-emotional and physical health outcomes, Objective 3: assess syndemicity of water insecurity, Objective 4: synthesize political ecology and syndemic theory to expand our understanding and measurement of complex social phenomena.
Microbiological contaminants will be screened in floodwaters during high tide floods in Beaufort and Carolina Beach, NC.
The Great Coharie River (AKA Great Coharie Creek) is a culturally and environmentally significant water body in Eastern North Carolina. The river has exhibited elevated levels of nutrients and microbial contamination, even after extreme flooding events, and community groups, particularly the Coharie Tribe, are eager to develop a more nuanced understanding of the temporal and spatial dynamics of contamination in the river to ensure human safety during cultural and recreational activities on the river. We propose to conduct high temporal resolution sampling at 4 sites along the river during different seasons and rainfall conditions. Water samples will be analyzed for nutrients, E. coli (fecal indicator bacteria) and source-specific molecular markers of fecal contamination (e.g., human, swine, and poultry). Forecast models will be develop to predict contamination with environmental covariates (e.g., temperature, rainfall, discharge). Working with Coharie Tribe leaders and other community members and applying insights from this research, we will support the development of long-term monitoring plans and decision-making tools for protecting and using the river.
Floods impact a series of interconnected urban systems (referred to in this project as the Urban Multiplex) that include the power grid and transportation networks, surface water and groundwater, sewerage and drinking water systems, inland navigation and dams, and other system, all of which are intertwined with the socioeconomic and public health sectors. This project uses a convergent approach to integrate these multiple interconnected systems and merges state-of-the-art practices in hydrologic and hydraulic engineering; systems analysis, optimization and control; machine learning, data and computer science; epidemiology; socioeconomics; and transportation and electrical engineering to develop an Urban Flood Open Knowledge Network (UF-OKN). The UF-OKN will be built by bringing together academic and non-academic researchers from engineering, computer science, social science, and economics. The UF-OKN is envisioned to empower decision makers and the general public by providing information not just on how much flooding may occur from a future event, but also to show the cascading impact of a flood event on natural and engineered infrastructure of an urban area, so that more effective planning and decision-making can occur.
The purpose of this contract is to conduct SARS-CoV-2 variant quantification and sequence analysis on wastewater samples collected twice a week throughout the state of North Carolina as part of NCWMN. Results will be shared weekly with NCDHHS for submission to CDC NWSS. Additionally, these results will supplement other COVID-19 surveillance strategies for NCDHHS and be shared with academic partners of the NC WW Path for further development of predictive models and spatial applications for public health surveillance.
North Carolina (NC) has launched the NC Wastewater Monitoring Network as part of the Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS). This system provides information on the presence and persistence of SARS-CoV-2-like viruses in wastewater systems as a metric of community COVID-19 prevalence. This approach provides a relatively low-cost way to measure both symptomatic and asymptomatic COVID-19 infections in a community-wide sample. Wastewater surveillance can demonstrate trends in COVID-19 prevalence, direct action to protect public health, and allay concerns about the burden of disease when SARS-CoV-2 concentrations are low. The NC Wastewater Monitoring Network builds on an existing collaboration between NCDHHS and the NC Wastewater Pathogen Research Network (NC WW PATH) led by Dr. Rachel Noble in collaboration with University of North Carolina (UNC) system researchers including those from North Carolina State University, UNC Chapel Hill, UNC Charlotte, UNC Wilmington, and East Carolina University. NC WW PATH has developed laboratory methods for measuring the SARS- CoV-2 virus in samples from wastewater treatment plant influent wastewater and primary solids and completed weekly sampling at 20 wastewater treatment plants representative of urban, semi-urban, and rural wastewater sources across nine counties in 2020. NC WW PATH continues to compare wastewater and solids concentrations with data from NCDHHS and other community prevalence studies while applying epidemiological and geospatial tools to develop statewide interactive mapping to better inform public health decisions.
The project is to support the state of North Carolina in surveillance of SARS-CoV-2 variants in the population. We will sequence SARS-CoV-2 from clinical specimens collected as part of the NCSU surveillance lab (surveillance lab director Megan Jacob is a co-PI) and partner WakeMed hospitals. We estimate to sequence 3700 samples over the course of the project.