Evidence map›Paper›PMID 40467653›Full record

ArticleScientific reports2025

Developing molecular surveillance of SARS-CoV-2 in the Czech Republic (2021-2022).

Timotej Šúri, Lucie Pfeiferová, Matěj Bezdíček, Jan Svatoň, Vladimír Hampl, Karel Berka, Helena Jiřincová, Martina Lengerová, Martin Kolísko, Alexander Nagy and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

14 authors.

Timotej ŠúriNational Institute of Public Health, Prague, Czech Republic. surit@vscht.cz.
Lucie PfeiferováInstitute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
Matěj BezdíčekUniversity Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Jan SvatoňUniversity Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Vladimír HamplFaculty of Science, Charles University - BIOCEV, Prague, Czech Republic.
Karel BerkaDepartment of Physical Chemistry, Faculty of Science, Palacký University in Olomouc, Olomouc, Czech Republic.
Helena JiřincováNational Institute of Public Health, Prague, Czech Republic.
Martina LengerováUniversity Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Martin KolískoBiological Center of the Academy of Sciences of the Czech Republic, České Budějovice, Czech Republic.
Alexander NagyNational Institute of Public Health, Prague, Czech Republic.
Ruth TachezyFaculty of Science, Charles University - BIOCEV, Prague, Czech Republic.
Czech COVID-19 Genomics Consortium
Michal Kolář *Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
Jan Pačes *Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic. jan.paces@img.cas.cz.

Funding

European Centre for Disease Prevention and Control ECDC/HERA/2021/004 ECD.12218European Commission 101102733European Commission CZ.02.1.01/0.0/0.0/16_019/0000785European Commission HERA2CZMinistry of Education, Youth and Sports of the Czech Republic ELIXIR CZ, LM2023055
6 · The paper itself

Abstract

Molecular surveillance was widely used during the COVID-19 pandemic to detect rapidly emerging variants and monitor the transmission of SARS-CoV-2 within communities. In 2021, the Czech COVID-19 Genomics Consortium (COG-CZ) was set up to coordinate a new SARS-CoV-2 molecular surveillance network. In the Czech Republic, molecular surveillance employed whole genome sequencing (WGS) and variant discrimination polymerase chain reaction (VD-PCR) on samples collected through passive, active and sentinel surveillance. All WGS data was uploaded to GISAID and the PANGO lineages used by GISAID were compared to the main variants determined by VD-PCR. To assess the effectiveness and reliability of the gathered data in adapting pandemic responses, the capabilities and turnaround times of the molecular surveillance methods are evaluated. VD-PCR results were available within 48 h of sample collection for 81.5% of cases during the Delta/Omicron transition. WGS enabled the detection of low-frequency novel variants in infection clusters. WGS surveillance showed there was community spread of AY.20.1, a variant that gained novel mutations within the Czech Republic. Molecular surveillance informed the implementation of public health measures; temporal comparisons of restrictions and outcomes are described. Further areas for improvement have been identified for monitoring and managing future pandemics.

Indexed as

COVID-19SARS-CoV-2Czech RepublicGenome, ViralHumansPandemicsWhole Genome SequencingCzech RepublicMolecular surveillanceSARS-CoV-2 variantsVariant discrimination PCR

Identifiers

PMID40467653
PMCPMC12137580

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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.