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scopus(7)
A watershed study assessing effects of commercial hog operations on microbial water quality in North Carolina, USA
ArticleAbstract: Commercial Hog Operations (CHOs) produce large amounts of fecal waste, which is often treated in lagPalabras claves:Antimicrobial Resistance, Commercial hog operations, Fecal indicator bacteria, Microbial source tracking, Surface water, WatershedAutores:Christenson E., Jacob M., Jill R. Stewart, Wickersham L.Fuentes:scopusCharacterizing Differences in Sources of and Contributions to Fecal Contamination of Sediment and Surface Water with the Microbial FIT Framework
ArticleAbstract: Surface water monitoring and microbial source tracking (MST) are used to identify host sources of fePalabras claves:animal feeding operations, land-use regression, molecular microbial source tracking, river networks, sediment, septic systems, Surface waterAutores:Beattie R.E., Hristova K.R., Jill R. Stewart, Serre M.L., Wiesner-Friedman C.Fuentes:scopusGeostatistical Prediction of Microbial Water Quality Throughout a Stream Network Using Meteorology, Land Cover, and Spatiotemporal Autocorrelation
ArticleAbstract: Predictive modeling is promising as an inexpensive tool to assess water quality. We developed geostaPalabras claves:Autores:Holcomb D.A., Jill R. Stewart, Messier K., Rowny J., Serre M.L.Fuentes:scopusGreener residential environment is associated with increased bacterial diversity in outdoor ambient air
ArticleAbstract: In urban areas, exposure to greenspace has been found to be beneficial to human health. The biodiverPalabras claves:16S RRNA, Aerobiome, Airborne Bacteria, Greenspace, microbiome, Outdoor airAutores:Arnold J.W., Brinkman N.E., Egorov A.I., Griffin S.M., Hudgens E., Jaspers I., Jill R. Stewart, Keely S.P., Klein J., Lu K., Mugford C., Sams E.A., Scott J.W., Styles J.N., Wade T.J.Fuentes:scopusTracking Major Sources of Water Contamination Using Machine Learning
ArticleAbstract: Current microbial source tracking techniques that rely on grab samples analyzed by individual endpoiPalabras claves:Fecal contamination, Land use, Machine learning, Microbial source tracking, rainfall, XGBoostAutores:Dubinsky E.A., Jill R. Stewart, Song C., Wu J.Fuentes:scopusTransmission of antimicrobial-resistant staphylococcus aureus clonal complex 9 between pigs and humans, United States
ArticleAbstract: Transmission of livestock-associated Staphylococcus aureus clonal complex 9 (LA-SA CC9) between pigsPalabras claves:Autores:Aziz M., Carroll K.C., Davis M.F., Hall D., Heaney C.D., Jill R. Stewart, Kaya H., Larsen J., Love D.C., Miller L.S., Mohr D., Nadimpalli M.L., Ordak C., Perl T.M., Pisanic N., Price L.B., Randad P.R., Rhodes S.Fuentes:scopusMicrobial Find, Inform, and Test Model for Identifying Spatially Distributed Contamination Sources: Framework Foundation and Demonstration of Ruminant Bacteroides Abundance in River Sediments
ArticleAbstract: Microbial pollution in rivers poses known ecological and health risks, yet causal and mechanistic liPalabras claves:ground hauling manure, land-use regression, molecular microbial source tracking, river networksAutores:Beattie R.E., Hristova K.R., Jill R. Stewart, Serre M.L., Wiesner-Friedman C.Fuentes:scopus