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与2021/2022赛季相比,2022/2023赛季欧洲新冠病毒病病例数与哪些因素相关?

Which Factors Were Related to the Number of COVID-19 Cases in the 2022/2023 Season Compared to the 2021/2022 Season in Europe?

作者信息

Sobczak Marharyta, Pawliczak Rafał

机构信息

Department of Immunopathology, Division of Biomedical Science, Faculty of Medicine, Medical University of Lodz, 90-752 Lodz, Poland.

出版信息

J Clin Med. 2023 Jul 6;12(13):4517. doi: 10.3390/jcm12134517.

DOI:10.3390/jcm12134517
PMID:37445552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10342371/
Abstract

The number of COVID-19 cases was greater in early autumn 2022 in contrast to in autumn 2021. Therefore, we decided to examine the factors that may have affected differences in the number of COVID-19 cases between the time periods 2021/2022 and 2022/2023 with consideration of the occurrence of influenza. In this cross-sectional study, we conducted a multiple factor analysis using data from publicly available databases for weeks 35-14 in 2022/2023 and 2021/2022 for Austria, Germany, Greece, Italy, and Slovenia. In the 2021/2022 season, the analyzed countries had similar profiles and were characterized by restrictions, health system policies, and SARS-CoV-2 variants, such as Alpha, Beta, Delta, Kappa, Eta, as well as Omicron sublineages (BA.1, BA.2), which were positively correlated with the number of new cases of COVID-19 per million people. However, in the 2022/2023 season, the analyzed countries were described by groups of variables corresponding to vaccination, influenza, the number of flights, and the Omicron SARS-CoV-2 subvariant. In summary, crucial factors correlated with the increasing of number of COVID-19 cases in the 2021/2022 season were the presence of dominant SARS-CoV-2 variants as well as the lifting of restrictions and strict health system policies.

摘要

与2021年秋季相比,2022年秋初的新冠病毒病病例数更多。因此,我们决定研究在考虑流感发生情况的前提下,可能影响2021/2022年和2022/2023年期间新冠病毒病病例数差异的因素。在这项横断面研究中,我们使用来自奥地利、德国、希腊、意大利和斯洛文尼亚2022/2023年第35 - 14周以及2021/2022年公开可用数据库的数据进行了多因素分析。在2021/2022赛季,所分析的国家具有相似特征,其特点是存在限制措施、卫生系统政策以及新冠病毒变异株,如阿尔法、贝塔、德尔塔、卡帕、埃塔以及奥密克戎亚谱系(BA.1、BA.2),这些与每百万人口中新冠病毒病新病例数呈正相关。然而,在2022/2023赛季,所分析的国家由与疫苗接种、流感、航班数量以及奥密克戎新冠病毒变异亚型相对应的变量组来描述。总之,与2021/2022赛季新冠病毒病病例数增加相关的关键因素是主要新冠病毒变异株的存在以及限制措施的解除和严格的卫生系统政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/955c3964f539/jcm-12-04517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/a6309ef11994/jcm-12-04517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/69dabd41c08a/jcm-12-04517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/b67be661b33c/jcm-12-04517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/955c3964f539/jcm-12-04517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/a6309ef11994/jcm-12-04517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/69dabd41c08a/jcm-12-04517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/b67be661b33c/jcm-12-04517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1974/10342371/955c3964f539/jcm-12-04517-g004.jpg

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