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

Author:

Šúri Timotej1,Pfeiferová Lucie2,Bezdíček Matěj3,Svatoň Jan3,Hampl Vladimír4,Berka Karel5,Jiřincová Helena1,Lengerová Martina3,Kolísko Martin6,Nagy Alexander1,Tachezy Ruth4,Kolář Michal2,Pačes Jan2

Affiliation:

1. National Institute of Public Health

2. Institute of Molecular Genetics of the Czech Academy of Sciences

3. University Hospital Brno, Masaryk University

4. Charles University - BIOCEV

5. Palacký University in Olomouc

6. Biological Center of the Academy of Sciences of the Czech Republic

Abstract

Abstract Molecular surveillance was widely used during the COVID-19 pandemic to rapidly detect 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 enabled accurate detection of changes in major variant dominance within 48 h of sample collection during the Delta/Omicron transition. WGS detected novel mutations and infection clusters, including several genetic lineages and clades of the virus, some of which were unique to the Czech Republic, such as AY.20.1. Molecular surveillance informed the implementation of public health measures and contributed to reduced cases and mortality, however further areas for improvement have been identified for monitoring and managing future pandemics.

Publisher

Research Square Platform LLC

Reference24 articles.

1. Ministry of Health of the Czech Republic [Internet]. [cited 2023 Nov 10]. Available from: https://onemocneni-aktualne.mzcr.cz/covid-19

2. Institute of Health Information and Statistics of the Czech Republic. Podání žádosti O export, Analýzu Dat Z NZIS [Internet]. [cited 2023 Nov 10]. Available from: https://www.uzis.cz/index.php?pg=kontakt--zadosti-o-data-analyzy

3. Global initiative on sharing all influenza data – from vision to reality;Shu Y;Eurosurveillance,2017

4. A dynamic nomenclature proposal for SARS-COV-2 lineages to assist genomic epidemiology;Rambaut A;Nature Microbiology,2020

5. Quick J. NCoV-2019 Sequencing Protocol V3 (locost) [Internet]. protocols.io; 2020 [cited 2023 Nov 10]. Available from: https://www.protocols.io/view/ncov-2019-sequencing-protocol-v3-locost-bp2l6n26rgqe/v3

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3