Item talk:Q228283

From geokb

{

 "@context": "http://schema.org/",
 "@type": "WebPage",
 "additionalType": "Project",
 "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center/science/environmental-factors-and-risk-estimation",
 "headline": "Environmental factors and risk estimation for waterborne pathogens at three Great Lakes beaches",
 "datePublished": "March 10, 2019",
 "author": [
   {
     "@type": "Person",
     "name": "Steven R Corsi",
     "url": "https://www.usgs.gov/staff-profiles/steven-r-corsi",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0003-0583-5536"
     }
   },
   {
     "@type": "Person",
     "name": "Michelle A Nott",
     "url": "https://www.usgs.gov/staff-profiles/michelle-a-nott",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0003-3968-7586"
     }
   }
 ],
 "description": [
   {
     "@type": "TextObject",
     "text": "Water samples were collected and concentrated using a novel and inexpensive glass-wool filtration technique developed by the Laboratory for Infectious Disease and the Environment (LIDE), and then analyzed for 22 pathogens using qPCR analyses and bacterial culture. Environmental factors like water temperature and turbidity were also measured. Linear regression models were developed to examine environmental factors that may influence pathogen prevalence. A QMRA was done for the three most prevalent human pathogens (Campylobacter jejuni, Salmonella spp., and enteroviruses) to estimate risk of infection and illness and to investigate factors that most influence those estimates."
   },
   {
     "@type": "TextObject",
     "text": "Waterborne pathogens were detected in 96% of the samples, and all three beaches had detections of all three categories, indicating multiple contamination sources. Wave direction, cloud cover, water currents, and water temperature were the most influential environmental factors."
   },
   {
     "@type": "TextObject",
     "text": "Recreational waters are often influenced by complex watersheds that have multiple sources and transport pathways of fecal contamination and enteric (intestinal) pathogens. The goals of this study were to quantify concentrations of three categories of pathogens (human viruses, bovine viruses, and pathogenic bacteria) at three Lake Michigan beaches, identify environmental factors that influence pathogen occurrence and variability at these beaches, and to estimate health risks for recreational swimmers."
   },
   {
     "@type": "TextObject",
     "text": "The goals of this study were to quantify pathogen concentrations in water at three Lake Michigan beaches, identify environmental factors that influence pathogen occurrence and variability, and to estimate health risks for recreational swimmers."
   },
   {
     "@type": "TextObject",
     "text": "The QMRA revealed that median probabilities of illness for all three pathogens were below the U.S Environmental Protection Agency recreational water benchmarks. Ingestion rate was the strongest individual factor determining illness risk for enteroviruses and C. jejuni, and pathogen concentration was the strongest factor for Salmonella spp."
   }
 ],
 "funder": {
   "@type": "Organization",
   "name": "Upper Midwest Water Science Center",
   "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center"
 },
 "about": [
   {
     "@type": "Thing",
     "name": "Geology"
   },
   {
     "@type": "Thing",
     "name": "Wisconsin"
   },
   {
     "@type": "Thing",
     "name": "Energy"
   },
   {
     "@type": "Thing",
     "name": "Great Lakes"
   },
   {
     "@type": "Thing",
     "name": "Lake Water Quality"
   },
   {
     "@type": "Thing",
     "name": "Water"
   },
   {
     "@type": "Thing",
     "name": "Science Technology"
   },
   {
     "@type": "Thing",
     "name": "QMRA"
   },
   {
     "@type": "Thing",
     "name": "qPCR"
   },
   {
     "@type": "Thing",
     "name": "Climate"
   },
   {
     "@type": "Thing",
     "name": "Water Quality"
   },
   {
     "@type": "Thing",
     "name": "pathogens"
   },
   {
     "@type": "Thing",
     "name": "Contaminants and Pathogens"
   },
   {
     "@type": "Thing",
     "name": "Environmental Health"
   },
   {
     "@type": "Thing",
     "name": "Human and Animal Pathogens"
   },
   {
     "@type": "Thing",
     "name": "Methods and Analysis"
   },
   {
     "@type": "Thing",
     "name": "Information Systems"
   },
   {
     "@type": "Thing",
     "name": "Advanced Capabilities and Research"
   },
   {
     "@type": "Thing",
     "name": "Science by State"
   }
 ]

}