A5068488617- SARS-CoV-2 detection and testing
- Biosensors and Analytical Detection
- SARS-CoV-2 and COVID-19 Research
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Soil and Water Nutrient Dynamics
- Advanced biosensing and bioanalysis techniques
- Fecal contamination and water quality
- Machine Learning and Algorithms
- Water Quality Monitoring Technologies
- Agriculture, Soil, Plant Science
- Mobile Crowdsensing and Crowdsourcing
- Data-Driven Disease Surveillance
- Recycling and Waste Management Techniques
- Mine drainage and remediation techniques
University of North Carolina at Chapel Hill
2021-2024
The global spread of SARS-CoV-2 has continued to be a serious concern after WHO declared the virus causative agent coronavirus disease 2019 (COVID-19) pandemic. Monitoring wastewater is useful tool for assessing community prevalence given that fecal shedding occurs in high concentrations by infected individuals, regardless whether they are asymptomatic or symptomatic. Using tools part wastewater-based epidemiology (WBE) approach, combined with molecular analyses, monitoring becomes key piece...
Wastewater based epidemiology (WBE) is useful for tracking and monitoring the level of disease prevalence in a community has been used extensively to complement clinical testing during current COVID-19 pandemic. Despite numerous benefits, sources variability sample storage, handling, processing methods can make WBE data difficult generalize. We performed an experiment determine including impact storage time, techniques on concentration SARS-CoV-2 wastewater influent from three treatment...
Wastewater monitoring has provided health officials with early warnings for new COVID-19 outbreaks, but to date, no approach been validated distinguish signal (sustained surges) from noise (background variability) in wastewater data alert the need heightened public response. We analyzed 62 wk of 19 sites participating North Carolina Monitoring Network characterize metrics around Delta and Omicron surges. found that identified outbreaks 4 5 d before case (reported on earlier symptom start...
The shellfish aquaculture industry is one of the fastest-growing sectors global food production, but it currently facing major challenges stemming from microbial pathogens. This study presents an optimized and validated suite droplet digital PCR (ddPCR) assays using water samples proximal to oyster farms in North Carolina quantify pathogens relevant industry. Two molecular enable quantification pathogens, Vibrio parahaemolyticus Perkinsus marinus, that threaten human health performance,...
Estuarine water quality is declining worldwide due to increased tourism, coastal development, and a changing climate. Although well-established methods are in place monitor quality, municipalities struggle use the data prioritize infrastructure for monitoring repair determine sources of contamination when they occur. The objective this study was assess within Town Creek Estuary (TCE), Beaufort, North Carolina, by combining culture, molecular, geographic information systems (GIS) into novel...
Abstract Wastewater monitoring has shown promise in providing an early warning for new COVID-19 outbreaks, but to date, no approach been validated reliably distinguish signal from noise wastewater data and thereby alert officials when the show a need heightened public health response. We analyzed 62 weeks of 19 sites participating North Carolina Monitoring Network characterize metrics before around Delta Omicron surges. found that, on average, identified outbreaks four five days case...
Wastewater surveillance emerged during the COVID-19 pandemic as a novel strategy for tracking burden of illness in communities. Previous work has shown that trends wastewater SARS-CoV-2 viral loads correlate well with reported case over longer time periods (i.e., months). We used detrending series to reveal shorter sub-trend patterns weeks) identify leads or lags temporal alignment wastewater/case relationship. Daily incident cases and twice-weekly measured at 20 North Carolina sewersheds...
ABSTRACT The global spread of SARS-CoV-2 has continued to be a serious concern after WHO declared the virus causative agent coronavirus disease 2019 (COVID-19) pandemic. Monitoring wastewater is useful tool for assessing community prevalence given that fecal shedding occurs in high concentrations by infected individuals, regardless whether they are asymptomatic or symptomatic. Using tools part wastewater-based epidemiology (WBE) approach, combined with molecular analyses, monitoring becomes...
Abstract Background Wastewater monitoring data can be used to estimate disease trends inform public health responses. One commonly estimated metric is the rate of change in pathogen quantity, which typically correlates with clinical surveillance retrospective analyses. However, accuracy estimation approaches has not previously been evaluated. Objectives We assessed performance for estimating rates wastewater loads by generating synthetic time series were known. Each approach was also...
Wastewater surveillance emerged during the COVID-19 pandemic as a novel strategy for tracking burden of illness in communities. Previous work has shown that trends wastewater SARS-CoV-2 viral loads correlate well with reported case over longer time periods (i.e., months). We used detrending series to reveal shorter sub-trend patterns weeks) identify leads or lags temporal alignment wastewater/case relationship. Daily incident cases and twice-weekly measured at 20 North Carolina sewersheds...