Evidence map›Paper›PMID 38628304›Full record

ArticleWater research X2024

SARS-CoV-2 wastewater surveillance in the Czech Republic: Spatial and temporal differences in SARS-CoV-2 RNA concentrations and relationship to clinical data and wastewater parameters.

Kateřina Sovová, Petra Vašíčková, Vojtěch Valášek, David Výravský, Věra Očenášková, Eva Juranová, Milena Bušová, Milan Tuček, Vladimír Bencko, Hana Zvěřinová Mlejnková

Open access · goldAbstract read
In one paragraph

Article in Water research X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 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

10 authors at 3 institutions in 1 country.

Kateřina SovováT. G. Masaryk Water Research Institute p.r.i., Brno Branch, Mojmírovo náměstí 16, 612 00 Brno, Czech Republic.
Petra VašíčkováMasaryk University, Faculty of Science, Kotlářská 267/2, 611 37 Brno, Czech Republic.
Vojtěch ValášekT. G. Masaryk Water Research Institute, Podbabská 30, 160 00 Prague, Czech Republic.
David VýravskýT. G. Masaryk Water Research Institute p.r.i., Brno Branch, Mojmírovo náměstí 16, 612 00 Brno, Czech Republic.
Věra OčenáškováT. G. Masaryk Water Research Institute, Podbabská 30, 160 00 Prague, Czech Republic.
Eva JuranováT. G. Masaryk Water Research Institute, Podbabská 30, 160 00 Prague, Czech Republic.
Milena BušováCharles University, First Faculty of Medicine, Institute of Hygiene and Epidemiology, Studničkova 7, 128 00 Prague, Czech Republic.
Milan TučekCharles University, First Faculty of Medicine, Institute of Hygiene and Epidemiology, Studničkova 7, 128 00 Prague, Czech Republic.
Vladimír BenckoCharles University, First Faculty of Medicine, Institute of Hygiene and Epidemiology, Studničkova 7, 128 00 Prague, Czech Republic.
Hana Zvěřinová MlejnkováT. G. Masaryk Water Research Institute, Podbabská 30, 160 00 Prague, Czech Republic.
T. G. Masaryk Water Research Institute · CZCharles University · CZMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the results of systematic wastewater monitoring of SARS-CoV-2 RNA and basic wastewater parameters from four different wastewater treatment plants (WWTPs) in the Czech Republic over the 2020-2022 epidemic. Two-step reverse-transcription quantitative PCR targeting genes encoding the N and Nsp12 proteins was employed to detect SARS-CoV-2 RNA loading in 420 wastewater samples. The results obtained were used to evaluate the potential of wastewater analysis for describing the epidemiological situation in cities of different sizes and determining temporal differences based on the prevailing SARS-CoV-2 variant. Strong correlations between the number of active and hospitalised COVID-19 cases in each WWTP catchment area and the concentration of SARS-CoV-2 RNA detected in the wastewater clearly demonstrated the suitability of this wastewater-based epidemiological approach for WWTPs of different sizes and characteristics, despite differences in SARS-CoV-2 variant waves, with some WWTPs showing high predictive potential. This study demonstrated on the data from the Czech Republic that targeted systematic monitoring of wastewater provides sufficiently robust data for surveillance of viral loads in sample populations, and thus contributes to preventing the spread of infection and subsequent introduction of appropriate measures.

Indexed as

COVID-19PCRVirusWastewater-based epidemiologyWastewater treatment plant

Identifiers

PMID38628304
PMCPMC11017050
OpenAlexW4393281946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.