Evidence map›Paper›PMID 36901194›Full record

ArticleInternational journal of environmental research and public health2023

Statistical Analysis of SARS-CoV-2 Using Wastewater-Based Data of Stockholm, Sweden.

Aashlesha Chekkala, Merve Atasoy, Cecilia Williams, Zeynep Cetecioglu

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

4 authors.

Aashlesha ChekkalaDepartment of Chemical Engineering, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.ORCID 0000-0002-3821-5352
Merve AtasoyDepartment of Chemical Engineering, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.ORCID 0000-0003-4046-1592
Cecilia WilliamsScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, 17121 Solna, Sweden.ORCID 0000-0002-0602-2062
Zeynep CeteciogluDepartment of Chemical Engineering, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.ORCID 0000-0002-8170-379X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An approach based on wastewater epidemiology can be used to monitor the COVID-19 pandemic by assessing the gene copy number of SARS-CoV-2 in wastewater. In the present study, we statistically analyzed such data from six inlets of three wastewater treatment plants, covering six regions of Stockholm, Sweden, collected over an approximate year period (week 16 of 2020 to week 22 of 2021). SARS-CoV-2 gene copy number and population-based biomarker PMMoV, as well as clinical data, such as the number of positive cases, intensive care unit numbers, and deaths, were analyzed statistically using correlations and principal component analysis (PCA). Despite the population differences, the PCA for the Stockholm dataset showed that the case numbers are well grouped across wastewater treatment plants. Furthermore, when considering the data from the whole of Stockholm, the wastewater characteristics (flow rate m

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRNA, ViralSwedenWastewaterRNA, ViralWastewaterPMMoVSARS-CoV-2statistical analysiswastewater-based epidemiology

Identifiers

PMID36901194
PMCPMC10002411

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Registered trials

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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.