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Correlation between SARS-CoV-2 RNA concentration in wastewater and COVID-19 cases in community: A systematic review and meta-analysis.

Authors :
Li, Xuan
Zhang, Shuxin
Sherchan, Samendrdra
Orive, Gorka
Lertxundi, Unax
Haramoto, Eiji
Honda, Ryo
Kumar, Manish
Arora, Sudipti
Kitajima, Masaaki
Jiang, Guangming
Source :
Journal of Hazardous Materials. Jan2023, Vol. 441, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

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 (C RNA). However, the correlation between the C RNA 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 C RNA 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 C RNA 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 C RNA 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. [Display omitted] • A systematic review of WBE performance in estimating COVID prevalence or incidence. • Differentiating the outbreak stage can improve the correlation between COVID-19 cases and C RNA. • Large temperature fluctuation and catchment size correlated with reduced WBE performance. • Sampling frequency and epidemiological factors are essential to improve WBE estimation. • WBE studies should report a minimum set of data for cross-study comparability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03043894
Volume :
441
Database :
Academic Search Index
Journal :
Journal of Hazardous Materials
Publication Type :
Academic Journal
Accession number :
159415320
Full Text :
https://doi.org/10.1016/j.jhazmat.2022.129848