Profiling bathing waters supported by Quantitative Microbial Risk Assessment (QMRA) is key to the WHO's recommendations for the 2020/2021 revision of the European Bathing Water Directive. We developed an areaspecific QMRA model on four pathogens, using fecal indicator concentrations (E. coil, enterococci) for calculating pathogen loads. The predominance of illness was found to be attributable to Human Adenovirus, followed by Salmonella, Vibrio, and Norovirus. Overall, the cumulative illness risk showed a median of around 1 case/10000 exposures. The risk estimates were strongly influenced by the indicators that were used, suggesting the need for a more detailed investigation of the different sources of fecal contamination. Area-specific threshold values for fecal indicators were estimated on a risk-basis by modelling the cumulative risk against E. coll. and enterococci concentrations. To improve bathing waters assessment, we suggest considering source apportionment locally estimating of pathogen/indicator ratios, and calculating site-specific indicators thresholds based on risk assessment.

Quantitative Microbial Risk Assessment as support for bathing waters profiling

Federigi, Ileana
Primo
;
Verani, Marco
Penultimo
;
Carducci, Annalaura
Ultimo
2020-01-01

Abstract

Profiling bathing waters supported by Quantitative Microbial Risk Assessment (QMRA) is key to the WHO's recommendations for the 2020/2021 revision of the European Bathing Water Directive. We developed an areaspecific QMRA model on four pathogens, using fecal indicator concentrations (E. coil, enterococci) for calculating pathogen loads. The predominance of illness was found to be attributable to Human Adenovirus, followed by Salmonella, Vibrio, and Norovirus. Overall, the cumulative illness risk showed a median of around 1 case/10000 exposures. The risk estimates were strongly influenced by the indicators that were used, suggesting the need for a more detailed investigation of the different sources of fecal contamination. Area-specific threshold values for fecal indicators were estimated on a risk-basis by modelling the cumulative risk against E. coll. and enterococci concentrations. To improve bathing waters assessment, we suggest considering source apportionment locally estimating of pathogen/indicator ratios, and calculating site-specific indicators thresholds based on risk assessment.
2020
Federigi, Ileana; Bonadonna, Lucia; Bonanno Ferraro, Giusy; Briancesco, Rossella; Cioni, Lorenzo; Coccia, Anna Maria; Della Libera, Simonetta; Ferretti, Emanuele; Gramaccioni, Liana; Iaconelli, Marcello; La Rosa, Giuseppina; Lucentini, Luca; Mancini, Pamela; Suffredini, Elisabetta; Vicenza, Teresa; Veneri, Carolina; Verani, Marco; Carducci, Annalaura
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1044502
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