Occurrence of norovirus in raw sewage - A systematic literature review and meta-analysis

WATER RESEARCH

卷:111

Review

关键词: Wastewater;    Norovirus;    Systematic review;    Waterborne pathogen density;    Bootstrap;    Microbial risk assessment;   

DOI  :  10.1016/j.watres.2017.01.017

来源: Elsevier

【 摘 要 】

Human noroviruses (NoV) are a leading cause of recreational waterborne illnesses and responsible for the majority of viral-associated gastrointestinal illnesses nationwide. We conducted a systematic literature review of published peer-reviewed publications to identify NoV density data in wastewater influent, and provided an approach for developing pathogen density distributions, using the NoV data. Literature review inclusion criteria included scope, study quality, and data availability. A non-parametric bootstrap statistical model was used to estimate the NoV distribution in wastewater influent. The approach used accounts for heterogeneity in study-specific distribution curves, sampling locations, and sampling season and provides a comprehensive representation of the data. Study results illustrate that pooling all of the available NoV data together in a meta-analysis provides a more comprehensive understanding of the technical literature than what could be appreciated from individual studies. The studies included in this analysis indicate a high density of NoV in wastewater influent (overall mean = 4.6 log(10) genome copies (GC)/liter (L)), with a higher density of NoV genogroup (G) II (overall mean = 4.9 log(10) GC/L) than for GI (overall mean = 4.4 log(10) GC/L for GI). The bootstrapping approach was also used to account for differences in seasonal and geographical occurrences of NoV GI and GII. The methods presented are reproducible and can be used to develop QMRA-ready density distributions for other viral pathogens in wastewater influent, effluent, and ambient waters. To our knowledge, our results are the first to quantitatively characterize seasonal and geographic differences, which could be particularly useful for future risk assessments. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free