Norovirus detection in wastewater and its correlation with human gastroenteritis: a systematic review and meta-analysis.
Yue HuangNan ZhouShihan ZhangYouqin YiYing HanMinqi LiuYue HanNaiyang ShiLiuqing YangQiang WangTingting CuiHui JinPublished in: Environmental science and pollution research international (2022)
Norovirus (NoV) is a major cause of sporadic cases and outbreaks of acute gastroenteritis (AGE), thereby imposing threat to health globally. It is unclear how quantitation of wastewater NoV reflects the incidence of human AGE infections; therefore, we conducted this systematic review and meta-analysis of published NoV wastewater surveillance studies. A literature search was performed, and all studies on NoV wastewater surveillance were identified. Quantitative results were evaluated. The results showed that the overall detection rate of NoV in wastewater was 82.10% (95% confidence interval [CI]: 74.22-89.92%); NoV concentration was statistically significant in terms of season (P < 0.001), with higher concentration in spring and winter. There were positive correlations between NoV GII concentration in wastewater and GII AGE cases (r s = 0.51, 95% CI: 0.18-0.74, I 2 = 0%), total AGE cases (r s = 0.40, 95% CI: 0.15-0.61, I 2 = 23%) and NoV outbreaks (r s = 0.47, 95% CI: 0.30-0.62, I 2 = 0%). Results of cross-correlation analysis of partial data indicated that variations in GII concentration were consistent with or ahead of those in the number of AGE cases. The diversity of NoV genotypes in wastewater was elucidated, and the dominant strains in wastewater showed a consistent temporal distribution with those responsible for human AGE. Our study demonstrated the potential association of NoV detected in wastewater with AGE infections, and further studies are needed to confirm this conclusion.
Keyphrases
- wastewater treatment
- systematic review
- anaerobic digestion
- endothelial cells
- public health
- escherichia coli
- healthcare
- induced pluripotent stem cells
- mental health
- randomized controlled trial
- machine learning
- liver failure
- high resolution
- intensive care unit
- ms ms
- risk assessment
- climate change
- late onset
- big data
- early onset
- liquid chromatography
- liquid chromatography tandem mass spectrometry
- acute respiratory distress syndrome
- human health
- mechanical ventilation
- sensitive detection
- respiratory failure
- artificial intelligence
- amyotrophic lateral sclerosis