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Detection and quantification of SARS-CoV-2 RNA in wastewater influent in relation to reported COVID-19 incidence in Finland.
Tiwari, Ananda; Lipponen, Anssi; Hokajärvi, Anna-Maria; Luomala, Oskari; Sarekoski, Anniina; Rytkönen, Annastiina; Österlund, Pamela; Al-Hello, Haider; Juutinen, Aapo; Miettinen, Ilkka T; Savolainen-Kopra, Carita; Pitkänen, Tarja.
  • Tiwari A; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, Agnes Sjöbergin katu 2, Helsinki FI-00014, Finland. Electronic address: ananda.
  • Lipponen A; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anssi.lipponen@thl.fi.
  • Hokajärvi AM; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anna-maria.hokajarvi@thl.fi.
  • Luomala O; Finnish Institute for Health and Welfare, Infectious Disease Control and Vaccinations Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: oskari.luomala@thl.fi.
  • Sarekoski A; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anniina.sarekoski@thl.fi.
  • Rytkönen A; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, Agnes Sjöbergin katu 2, Helsinki FI-00014, Finland. Electronic address: annasti
  • Österlund P; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: pamela.osterlund@thl.fi.
  • Al-Hello H; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: haider.al-hello@thl.fi.
  • Juutinen A; Finnish Institute for Health and Welfare, Infectious Disease Control and Vaccinations Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: aapo.juutinen@thl.fi.
  • Miettinen IT; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: ilkka.miettinen@thl.fi.
  • Savolainen-Kopra C; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: carita.savolainen-kopra@thl.fi.
  • Pitkänen T; Finnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, Agnes Sjöbergin katu 2, Helsinki FI-00014, Finland. Electronic address: tarja.p
Water Res ; 215: 118220, 2022 May 15.
Article in English | MEDLINE | ID: covidwho-1700357
ABSTRACT
Wastewater-based surveillance is a cost-effective concept for monitoring COVID-19 pandemics at a population level. Here, SARS-CoV-2 RNA was monitored from a total of 693 wastewater (WW) influent samples from 28 wastewater treatment plants (WWTP, N = 21-42 samples per WWTP) in Finland from August 2020 to May 2021, covering WW of ca. 3.3 million inhabitants (∼ 60% of the Finnish population). Quantity of SARS-CoV-2 RNA fragments in 24 h-composite samples was determined by using the ultrafiltration method followed by nucleic acid extraction and CDC N2 RT-qPCR assay. SARS-CoV-2 RNA signals at each WWTP were compared over time to the numbers of confirmed COVID-19 cases (14-day case incidence rate) in the sewer network area. Over the 10-month surveillance period with an extensive total number of samples, the detection rate of SARS-CoV-2 RNA in WW was 79% (including 6% uncertain results, i.e., amplified only in one out of four, two original and two ten-fold diluted replicates), while only 24% of all samples exhibited gene copy numbers above the quantification limit. The range of the SARS-CoV-2 detection rate in WW varied from 33% (including 10% uncertain results) in Pietarsaari to 100% in Espoo. Only six out of 693 WW samples were positive with SARS-COV-2 RNA when the reported COVID-19 case number from the preceding 14 days was zero. Overall, the 14-day COVID-19 incidence was 7.0, 18, and 36 cases per 100 000 persons within the sewer network area when the probability to detect SARS-CoV-2 RNA in wastewater samples was 50%, 75% and 95%, respectively. The quantification of SARS-CoV-2 RNA required significantly more COVID-19 cases the quantification rate was 50%, 75%, and 95% when the 14-day incidence was 110, 152, and 223 COVID-19 cases, respectively, per 100 000 persons. Multiple linear regression confirmed the relationship between the COVID-19 incidence and the SARS-CoV-2 RNA quantified in WW at 15 out of 28 WWTPs (overall R2 = 0.36, p < 0.001). At four of the 13 WWTPs where a significant relationship was not found, the SARS-CoV-2 RNA remained below the quantification limit during the whole study period. In the five other WWTPs, the sewer coverage was less than 80% of the total population in the area and thus the COVID-19 cases may have been inhabitants from the areas not covered. Based on the results obtained, WW-based surveillance of SARS-CoV-2 could be used as an indicator for local and national COVID-19 incidence trends. Importantly, the determination of SARS-CoV-2 RNA fragments from WW is a powerful and non-invasive public health surveillance measure, independent of possible changes in the clinical testing strategies or in the willingness of individuals to be tested for COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Water Res Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Water Res Year: 2022 Document Type: Article