Correlation between SARS-CoV-2 RNA concentration in wastewater and COVID-19 cases in community: A systematic review and meta-analysis.
Correlation between SARS-CoV-2 RNA concentration in wastewater and COVID-19 cases in community: A systematic review and meta-analysis.
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DOI：
10.1016/j.jhazmat.2022.129848
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发表时间：
2023-01-05
影响因子：
13.6
通讯作者：
Jiang, Guangming
中科院分区：
文献类型：
--
作者：
Li, Xuan;Zhang, Shuxin;Sherchan, Samendrdra;Orive, Gorka;Lertxundi, Unax;Haramoto, Eiji;Honda, Ryo;Kumar, Manish;Arora, Sudipti;Kitajima, Masaaki;Jiang, Guangming
关键词：
基于水的流行病学（WBE）被认为是2019冠状病毒病（COVID-19）全人群监测的一种有前途的方法。许多研究已经成功量化了废水中严重急性呼吸道综合征冠状病毒2（SARS-CoV-2）RNA浓度（CRNA）。然而，CRNA与相应污水集水区的COVID-19临床确诊病例之间的相关性各不相同，环境和其他因素的影响仍不清楚。进行了系统回顾和荟萃分析，以确定CRNA与各种类型的临床确诊病例数（包括患病率和发病率）之间的相关性。环境因素的影响，WBE抽样设计，和流行病学条件的相关性进行了评估相同的数据集。系统评价确定了133个相关系数，范围从-0.38到0.99。CRNA与新发病例（每日新发、每周新发或未来病例）的相关性强于活动性病例和累积病例。这些相关系数可能受到环境和流行病学条件以及WBE抽样设计的影响。气温和临床检测覆盖率的较大变化以及集水区面积的增加对CRNA与COVID-19病例数之间的相关性产生了强烈的负面影响。有趣的是，采样技术的影响可以忽略不计，虽然增加采样频率提高了相关性。这些发现强调了病毒脱落动力学、下水道衰变、WBE采样设计和临床测试对通过WBE方法准确反估计COVID-19病例数的重要性。
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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影响因子：
11.8
作者：
Ahmed W;Bivins A;Simpson SL;Bertsch PM;Ehret J;Hosegood I;Metcalfe SS;Smith WJM;Thomas KV;Tynan J;Mueller JF
通讯作者：
Mueller JF
影响因子：
7
作者：
Carrillo-Reyes J;Barragán-Trinidad M;Buitrón G
通讯作者：
Buitrón G
影响因子：
12.8
作者：
Acosta N;Bautista MA;Hollman J;McCalder J;Beaudet AB;Man L;Waddell BJ;Chen J;Li C;Kuzma D;Bhatnagar S;Leal J;Meddings J;Hu J;Cabaj JL;Ruecker NJ;Naugler C;Pillai DR;Achari G;Ryan MC;Conly JM;Frankowski K;Hubert CR;Parkins MD
通讯作者：
Parkins MD
DOI：
10.1021/acsestwater.1c00160
发表时间：
2021-07-09
期刊：
ACS ES&T WATER
影响因子：
--
作者：
Feng, Shuchen;Roguet, Adelaide;McLellan, Sandra L.
通讯作者：
McLellan, Sandra L.
影响因子：
11.4
作者：
Graham, Katherine E.;Loeb, Stephanie K.;Boehm, Alexandria B.
通讯作者：
Boehm, Alexandria B.