Evidence map›Paper›PMID 35248908›Full record

ArticleWater research2022

Detection and quantification of SARS-CoV-2 RNA in wastewater influent in relation to reported COVID-19 incidence in Finland.

Ananda Tiwari, Anssi Lipponen, Anna-Maria Hokajärvi, Oskari Luomala, Anniina Sarekoski, Annastiina Rytkönen, Pamela Österlund, Haider Al-Hello, Aapo Juutinen, Ilkka T Miettinen and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Ananda TiwariFinnish 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.tiwari@thl.fi.
Anssi LipponenFinnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anssi.lipponen@thl.fi.
Anna-Maria HokajärviFinnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anna-maria.hokajarvi@thl.fi.
Oskari LuomalaFinnish Institute for Health and Welfare, Infectious Disease Control and Vaccinations Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: oskari.luomala@thl.fi.
Anniina SarekoskiFinnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: anniina.sarekoski@thl.fi.
Annastiina RytkönenFinnish 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: annastiina.rytkonen@helsinki.fi.
Pamela ÖsterlundFinnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: pamela.osterlund@thl.fi.
Haider Al-HelloFinnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: haider.al-hello@thl.fi.
Aapo JuutinenFinnish Institute for Health and Welfare, Infectious Disease Control and Vaccinations Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: aapo.juutinen@thl.fi.
Ilkka T MiettinenFinnish Institute for Health and Welfare, Expert Microbiology Unit, Neulaniementie 4, Kuopio FI-70701, Finland. Electronic address: ilkka.miettinen@thl.fi.
Carita Savolainen-KopraFinnish Institute for Health and Welfare, Expert Microbiology Unit, Mannerheimintie 166, Helsinki FI-00271, Finland. Electronic address: carita.savolainen-kopra@thl.fi.
Tarja PitkänenFinnish 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.pitkanen@thl.fi.
Finnish Institute for Health and Welfare · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 R

Indexed as

COVID-19WastewaterFinlandHumansIncidenceRNA, ViralSARS-CoV-2RNA, ViralWastewaterCommunity sewageCoronavirusNational surveillanceRT-qPCR assayWastewater-based epidemiology

Identifiers

PMID35248908
PMCPMC8865022
OpenAlexW4225547405

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.