Data fitting approach more critical than exposure scenarios and treatment of censored data for quantitative microbial risk assessment

• Main Authors: Poma, Hugo Ramiro, Kundu, Arti, Wuertz, Stefan, Rajal, Verónica Beatriz
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Environmental engineering; Quantitative Microbial Risk Assessment; Enteric Virus
• Online Access: https://hdl.handle.net/10356/151626
• Institution: Nanyang Technological University

Recreational waters are a source of many diseases caused by human viral pathogens, including norovirus genogroup II (NoV GII) and enterovirus (EV). Water samples from the Arenales river in Salta, Argentina, were concentrated by ultrafiltration and analyzed for the concentrations of NoV GII and EV by...