title: Quantitative risk analysis for potentially resistant E. coli in surface waters caused by antibiotic use in agricultural systems.
abstract: Antibiotics are frequently used in agricultural systems to promote livestock health and to control bacterial contaminants. Given the upsurge of the resistant fecal indicator bacteria (FIB) in the surface waters, a novel statistical method namely, microbial risk assessment (MRA) was performed, to evaluate the probability of infection by resistant FIB on populations exposed to recreational waters. Diarrheagenic Escherichia coli, except E. coli O157:H7, were selected for their prevalence in aquatic ecosystem. A comparative study between a typical E. coli pathway and a case scenario aggravated by antibiotic use has been performed via Crystal Ball® software in an effort to analyze a set of available inputs provided by the US institutions including E. coli concentrations in US Great Lakes through using random sampling and probability distributions. Results from forecasting a possible worst-case scenario dose-response, accounted for an approximate 50% chance for 20% of the exposed human populations to be infected by recreational water in the U.S. However, in a typical scenario, there is a 50% chance of infection for only 1% of the exposed human populations. The uncertain variable, E. coli concentration accounted for approximately 92.1% in a typical scenario as the major contributing factor of the dose-response model. Resistant FIB in recreational waters that are exacerbated by a low dose of antibiotic pollutants would increase the adverse health effects in exposed human populations by 10 fold.
authors: a Department of Cell Biology, Microbiology and Molecular Biology , University of South Florida , Tampa , Florida , USA.
authors: Alya
authors: A
authors: Limayem
authors: Elizabeth M
authors: EM
authors: Martin
mesh_terms: D000822:Animal Husbandry; D000900:Anti-Bacterial Agents / Q000494:pharmacology* / Q000627:therapeutic use; D024881:Drug Resistance, Bacterial; D004926:Escherichia coli / Q000187:drug effects* / Q000502:physiology; D004927:Escherichia coli Infections / Q000453:epidemiology / Q000382:microbiology*; D006114:Great Lakes Region / Q000453:epidemiology; D006801:Humans; D060106:Lakes / Q000382:microbiology*; D008954:Models, Biological; D012307:Risk Factors; D062065:Wastewater / Q000382:microbiology*; D014873:Water Pollutants / Q000494:pharmacology*; D014887:Weather
chemical_list: D000900:Anti-Bacterial Agents; D062065:Wastewater; D014873:Water Pollutants