关键词: COVID-19 Epidemiology Genomics Haplotype network Pandemic SARS-CoV-2

Mesh : Poland / epidemiology COVID-19 / epidemiology virology prevention & control Humans SARS-CoV-2 / genetics isolation & purification COVID-19 Vaccines Pandemics Retrospective Studies Genome, Viral Genomics / methods Vaccination

来  源:   DOI:10.1038/s41598-024-65468-5   PDF(Pubmed)

Abstract:
The COVID-19 pandemic has profoundly affected all aspects of our lives. Through real-time monitoring and rapid vaccine implementation, we succeeded in suppressing the spread of the disease and mitigating its consequences. Finally, conclusions can be summarized and drawn. Here, we use the example of Poland, which was seriously affected by the pandemic. Compared to other countries, Poland has not achieved impressive results in either testing or vaccination, which may explain its high mortality (case fatality rate, CFR 1.94%). Through retrospective analysis of data collected by the COVID-19 Data Portal Poland, we found significant regional differences in the number of tests performed, number of cases detected, number of COVID-19-related deaths, and vaccination rates. The Masovian, Greater Poland, and Pomeranian voivodeships, the country\'s leaders in vaccination, reported high case numbers but low death rates. In contrast, the voivodeships in the eastern and southern parts of Poland (Subcarpathian, Podlaskie, Lublin, Opole), which documented low vaccination levels and low case numbers, had higher COVID-19-related mortality rates. The strong negative correlation between the CFR and the percentage of the population that was vaccinated in Poland supports the validity of vaccination. To gain insight into virus evolution, we sequenced more than 500 genomes and analyzed nearly 80 thousand SARS-CoV-2 genome sequences deposited in GISAID by Polish diagnostic centers. We showed that the SARS-CoV-2 variant distribution over time in Poland reflected that in Europe. Haplotype network analysis allowed us to follow the virus transmission routes and identify potential superspreaders in each pandemic wave.
摘要:
COVID-19大流行深刻地影响了我们生活的各个方面。通过实时监测和快速实施疫苗,我们成功地抑制了疾病的传播并减轻了其后果。最后,结论可以总结和得出。这里,我们以波兰为例,受到大流行的严重影响。与其他国家相比,波兰在检测或疫苗接种方面都没有取得令人印象深刻的成果,这可以解释其高死亡率(病死率,CFR1.94%)。通过对COVID-19数据门户波兰收集的数据进行回顾性分析,我们发现执行的测试数量存在显著的区域差异,发现的病例数,与COVID-19相关的死亡人数,和疫苗接种率。Masovian,大波兰,和波美拉尼亚省,该国的领导人在疫苗接种,报告病例数量高,但死亡率低。相比之下,波兰东部和南部的省(Subcarpathian,Podlaskie,卢布林,Opole),记录了低疫苗接种水平和低病例数,COVID-19相关死亡率较高。CFR与波兰接种疫苗的人口比例之间的强烈负相关支持疫苗接种的有效性。为了深入了解病毒的进化,我们对500多个基因组进行了测序,并分析了波兰诊断中心保存在GISAID的近8万份SARS-CoV-2基因组序列.我们表明,随着时间的推移,SARS-CoV-2变体在波兰的分布反映了欧洲的分布。单倍型网络分析使我们能够跟踪病毒传播途径,并在每次大流行浪潮中识别潜在的超级传播者。
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