Evidence map›Paper›PMID 36356735›Full record

ArticleThe Science of the total environment2023

Long-term SARS-CoV-2 surveillance in the wastewater of Stockholm: What lessons can be learned from the Swedish perspective?

Mariel Perez-Zabaleta, Amena Archer, Kasra Khatami, Mohammed Hakim Jafferali, Prachi Nandy, Merve Atasoy, Madeleine Birgersson, Cecilia Williams, Zeynep Cetecioglu

Abstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The potential of long-term wastewater-based surveillance to predict COVID-19 waves peak in Mexico.Water environment research : a research publication of the Water Environment Federation · 2025
    Article
  6. Article
  7. Article
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  9. Article
  10. Review
  11. Statistical Analysis of SARS-CoV-2 Using Wastewater-Based Data of Stockholm, Sweden.International journal of environmental research and public health · 2023
    Article
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

9 authors.

Mariel Perez-ZabaletaDepartment of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
Amena ArcherDepartment of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Kasra KhatamiDepartment of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
Mohammed Hakim JafferaliDepartment of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Prachi NandyDepartment of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
Merve AtasoyDepartment of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
Madeleine BirgerssonDepartment of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Cecilia WilliamsDepartment of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Zeynep CeteciogluDepartment of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden. Electronic address: zeynepcg@kth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) can be used to track the spread of SARS-CoV-2 in a population. This study presents the learning outcomes from over two-year long monitoring of SARS-CoV-2 in Stockholm, Sweden. The three main wastewater treatment plants in Stockholm, with a total of six inlets, were monitored from April 2020 until June 2022 (in total 600 samples). This spans five major SARS-CoV-2 waves, where WBE data provided early warning signals for each wave. Further, the measured SARS-CoV-2 content in the wastewater correlated significantly with the level of positive COVID-19 tests (r = 0.86; p << 0.0001) measured by widespread testing of the population. Moreover, as a proof-of-concept, six SARS-CoV-2 variants of concern were monitored using hpPCR assay, demonstrating that variants can be traced through wastewater monitoring. During this long-term surveillance, two sampling protocols, two RNA concentration/extraction methods, two calculation approaches, and normalization to the RNA virus Pepper mild mottle virus (PMMoV) were evaluated. In addition, a study of storage conditions was performed, demonstrating that the decay of viral RNA was significantly reduced upon the addition of glycerol to the wastewater before storage at -80 °C. Our results provide valuable information that can facilitate the incorporation of WBE as a prediction tool for possible future outbreaks of SARS-CoV-2 and preparations for future pandemics.

Indexed as

COVID-19WastewaterHumansSARS-CoV-2SwedenWastewaterCOVID-19hpPCRSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Sewage surveillanceStorage conditionsWastewater-based epidemiology (WBE)

Identifiers

PMID36356735
PMCPMC9640212

What OpenQuestion holds

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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 OpenQuestion graph.