

@article {13675,
	title = {{Discharge-based QMRA for estimation of public health risks from exposure to stormwater-borne pathogens in recreational waters in the United States}},
	journal = {Water Research},
	volume = {47},
	number = {14},
	year = {2013},
	pages = {5282{\textendash}5297},
	abstract = {This study is the first to report a quantitative microbial risk assessment (QMRA) on path- ogens detected in stormwater discharges-of-concern, rather than relying on pathogen measurements in receiving waters. The pathogen concentrations include seven {\textquotedblleft}Reference Pathogens{\textquotedblright} identified by the U.S. EPA: Cryptosporidium, Giardia, Salmonella, Norovirus, Rotavirus, Enterovirus, and Adenovirus. Data were collected from 12 sites representative of seven discharge types (including residential, commercial/industrial runoff, agricultural runoff, comMcBride, G. B., Stott, R., Miller, W., Bambic, D., {\&} Wuertz, S. (2013). Discharge-based QMRA for estimation of public health risks from exposure to stormwater-borne pathogens in recreational waters in the United States. Water Research, 1{\textendash}16. doi:10.1016/j.watres.2013.06.001bined sewer overflows, and forested land), mainly during wet weather condi- tions during which times human health risks can be substantially elevated. The risks calculated herein therefore generally apply to short-term conditions (during and just after rainfall events) and so the results can be used by water managers to potentially inform the public, even for waters that comply with current criteria (based as they are on a 30-day mean risk). Using an example waterbody and mixed source, pathogen concentrations were used in QMRA models to generate risk profiles for primary and secondary water contact (or inhalation) by adults and children. A number of critical assumptions and considerations around the QMRA analysis are highlighted, particularly the harmonization of the pathogen concentrations measured in discharges during this project with those measured (using different methods) during the published doseeresponse clinical trials. Norovirus was the most dominant predicted health risk, though further research on its doseeresponse for illness (cf. infection) is needed. Even if the example mixed-source concentrations of pathogens had been reduced 30 times (by inactivation and mixing), the predicted swimming-associated illness rates e largely driven by Norovirus infections e can still be appreciable. Rotavirus generally induced the second-highest incidence of risk among the tested pathogens while risks for the other Reference Pathogens (GiardiaCryptosporidium, Adenovirus, Enterovirus and Salmonella) were considerably lower. Sec- ondary contact or inhalation resulted in considerable reductions in risk compared to pri- mary contact. Measurements of Norovirus and careful incorporation of its concentrations into risk models (harmonization) should be a critical consideration for future QMRA efforts. The discharge-based QMRA approach presented herein is particularly relevant to cases where pathogens cannot be reliably detected in receiving waters with detection limits relevant to human health effects.},
	keywords = {bacteria, Health, Norovirus, Pathogens, Protozoa, QMRA, QPCR, rotavirus, Stormwater, USA, Virus},
	author = {McBride, Graham B. and Stott, Rebecca and Miller, Woutrina and Bambic, Dustin and Wuertz, Stefan}
}
