Abstract

In the current COVID-19 pandemic, a significant proportion of cases shed SARS-Coronavirus-2 (SARS-CoV-2) with their faeces. To determine if SARS-CoV-2 RNA was present in sewage during the emergence of COVID-19 in The Netherlands, sewage samples of six cities and the airport were tested using four qRT-PCR assays, three targeting the nucleocapsid gene (N1-N3) and one the envelope gene (E). No SARS-CoV-2 RNA was detected on February 6, 3 weeks before the first Dutch case was reported. On March 4/5, one or more gene fragments were detected in sewage of three sites, in concentrations of 2.6-30 gene copies per mL. In Amersfoort, N3 was detected in sewage 6 days before the first cases were reported. As the prevalence of COVID-19 in these cities increased in March, the RNA signal detected by each qRT-PCR assay increased, for N1-N3 up to 790-2200 gene copies per mL. This increase correlated significantly with the increase in reported COVID-19 prevalence. The detection of the virus RNA in sewage, even when the COVID-19 prevalence is low, and the correlation between concentration in sewage and reported prevalence of COVID-19, indicate that sewage surveillance could be a sensitive tool to monitor the circulation of the virus in the population.

Keywords

SewageCoronavirusCoronavirus disease 2019 (COVID-19)VirologyBiologyPopulationPandemicFecesRNASevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Veterinary medicineGeneMedicineMicrobiologyInternal medicineEnvironmental healthEnvironmental scienceGeneticsEnvironmental engineering

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Publication Info

Year
2020
Type
article
Volume
7
Issue
7
Pages
511-516
Citations
1667
Access
Closed

Citation Metrics

1667
OpenAlex
97
Influential
1351
CrossRef

Cite This

Gertjan Medema, Leo Heijnen, Goffe Elsinga et al. (2020). Presence of SARS-Coronavirus-2 RNA in Sewage and Correlation with Reported COVID-19 Prevalence in the Early Stage of the Epidemic in The Netherlands. Environmental Science & Technology Letters , 7 (7) , 511-516. https://doi.org/10.1021/acs.estlett.0c00357

Identifiers

DOI
10.1021/acs.estlett.0c00357
PMID
37566285
PMCID
7254611

Data Quality

Data completeness: 86%