2019-20冠状病毒爆发
2019年冠状病毒病(COVID-19)
病毒学
废水
倍他科诺病毒
Sars病毒
荟萃分析
冠状病毒
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
冠状病毒感染
生物
环境科学
医学
环境工程
疾病
内科学
爆发
传染病(医学专业)
作者
Xuan Li,Shuxin Zhang,Samendra P. Sherchan,Gorka Orive,Unax Lertxundi,Eiji Haramoto,Ryo Honda,Manish Kumar,Sudipti Arora,Masaaki Kitajima,Guangming Jiang
标识
DOI:10.1016/j.jhazmat.2022.129848
摘要
Wastewater-based epidemiology (WBE) has been considered as a promising approach for population-wide surveillance of coronavirus disease 2019 (COVID-19). Many studies have successfully quantified severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA concentration in wastewater (CRNA). However, the correlation between the CRNA and the COVID-19 clinically confirmed cases in the corresponding wastewater catchments varies and the impacts of environmental and other factors remain unclear. A systematic review and meta-analysis were conducted to identify the correlation between CRNA and various types of clinically confirmed case numbers, including prevalence and incidence rates. The impacts of environmental factors, WBE sampling design, and epidemiological conditions on the correlation were assessed for the same datasets. The systematic review identified 133 correlation coefficients, ranging from -0.38 to 0.99. The correlation between CRNA and new cases (either daily new, weekly new, or future cases) was stronger than that of active cases and cumulative cases. These correlation coefficients were potentially affected by environmental and epidemiological conditions and WBE sampling design. Larger variations of air temperature and clinical testing coverage, and the increase of catchment size showed strong negative impacts on the correlation between CRNA and COVID-19 case numbers. Interestingly, the sampling technique had negligible impact although increasing the sampling frequency improved the correlation. These findings highlight the importance of viral shedding dynamics, in-sewer decay, WBE sampling design and clinical testing on the accurate back-estimation of COVID-19 case numbers through the WBE approach.
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