Suppr超能文献

中国济南奥密克戎BA.5毒株流行后小区中老年人群的流行病学和免疫学特征

Epidemiological and immunological characteristics of middle-aged and elderly people in housing estates after Omicron BA.5 wave in Jinan, China.

作者信息

Zhao Xin-Jing, Li Min, Zhang Sheng, Li Ke, Wei Wang-Qian, Chen Jin-Jin, Xu Qiang, Lv Chen-Long, Liu Ti, Wang Guo-Lin, Fang Li-Qun

机构信息

State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.

Department of Epidemiology and Biotatistics, School of Public Health, Anhui Medical University, Hefei, China.

出版信息

Heliyon. 2024 Sep 25;10(19):e38382. doi: 10.1016/j.heliyon.2024.e38382. eCollection 2024 Oct 15.

Abstract

A great number of COVID-19 patients was caused by Omicron BA.5 subvariant between December 2022 and January 2023 after the end of the zero-COVID-19 policy in China. In this study, we clarified the epidemiological and immunological characteristics of 457 enrolled middle-aged and elderly population in two housing estates after Omicron BA.5 wave. A total of 89.9 % (411/457) individuals have suffered Omicron BA.5 infection, among which 78.1 % (321/411) were symptomatic. The elderly patients were more likely to show fatigue and had longer symptomatic period than that of middle-aged patients post Omicron BA.5 infection. Omicron XBB and BA.2.86 subvariants extensively escaped the immunity elicited by Omicron BA.5 infection. The level of neutralizing antibody was mostly affected by vaccination doses rather than underlying disease status in these participants. It is very important to strengthen the epidemiological investigation and immune resistance assessment among elderly population for control of emerging SARS-CoV-2 variants.

摘要

在中国结束新冠疫情防控政策后,2022年12月至2023年1月期间,大量新冠病毒感染病例由奥密克戎BA.5亚变体引起。在本研究中,我们阐明了奥密克戎BA.5毒株感染高峰后两个居民区457名纳入研究的中老年人群的流行病学和免疫学特征。共有89.9%(411/457)的个体感染了奥密克戎BA.5,其中78.1%(321/411)出现症状。奥密克戎BA.5感染后,老年患者比中年患者更容易出现疲劳,且症状期更长。奥密克戎XBB和BA.2.86亚变体广泛逃逸了奥密克戎BA.5感染所诱导的免疫力。在这些参与者中,中和抗体水平主要受疫苗接种剂量影响,而非基础疾病状态。加强老年人群的流行病学调查和免疫抵抗力评估对于控制新出现的新冠病毒变种非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64a1/11467590/77cfe1b65d5f/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验