Suppr超能文献

评估 COVID-19 四种变异株和疫苗接种覆盖率对马耳他两年内死亡率的影响:一项观察性病例研究。

Assessing the impact of the four COVID-19 variants and the vaccine coverage on mortality in Malta over 2 years: An observational case study.

机构信息

Department of Anatomy, University of Malta, Msida, Malta.

Mater Dei Hospital, Msida, Malta.

出版信息

Front Public Health. 2022 Sep 23;10:1018505. doi: 10.3389/fpubh.2022.1018505. eCollection 2022.

Abstract

BACKGROUND

Mortality may quantify a population's disease burden. Malta, like other European countries, experienced COVID-19 surges in cases and mortality across the pandemic. This study assesses COVID-19's mortality impact, while exploring the effects of the four dominant COVID-19 variants and that of the vaccination coverage on the Maltese population.

METHODS

COVID-19 data (cases, mortality, positivity, and vaccination rates) was obtained from the websites of the European Center for Disease Prevention and Control and the Malta Ministry of Health. Data was categorized into the four periods according to reported dominant COVID-19 variant. Years of life lost (YLL) and Case-Fatality-Ratio (CFR) for each period were estimated. CFR was also estimated for the pre-vaccine and post-vaccine periods.

RESULTS

The original COVID-19 period (36 weeks) had the highest YLL (4,484), followed by the Omicron variant period (12 weeks; 1,398). The Alpha variant period (7 weeks) had the highest CFR (1.89%) followed by the Original COVID-19 (1.35%). The pre-vaccine (1.59%) period had higher CFR than the post-vaccine period (0.67%).

CONCLUSION

Various factors contributed to mortality, but the variant's infectivity, transmissibility, and the effectiveness of the vaccine against the variant play an important role. Reducing mortality by embracing mass vaccination that targets current variants along with other non-pharmaceutical interventions remains paramount.

摘要

背景

死亡率可以量化一个人群的疾病负担。马耳他与其他欧洲国家一样,在整个大流行期间经历了 COVID-19 病例和死亡率的激增。本研究评估了 COVID-19 的死亡率影响,同时探讨了四种主要 COVID-19 变体的影响以及疫苗接种覆盖率对马耳他人口的影响。

方法

从欧洲疾病预防控制中心和马耳他卫生部的网站获取 COVID-19 数据(病例、死亡率、阳性率和疫苗接种率)。根据报告的主要 COVID-19 变体,将数据分为四个时期。估计每个时期的生命损失年 (YLL) 和病例病死率 (CFR)。还估计了疫苗接种前和疫苗接种后的 CFR。

结果

原始 COVID-19 期(36 周)的 YLL 最高(4484),其次是奥密克戎变体期(12 周;1398)。阿尔法变体期(7 周)的 CFR 最高(1.89%),其次是原始 COVID-19 期(1.35%)。疫苗接种前(1.59%)时期的 CFR 高于疫苗接种后(0.67%)时期。

结论

各种因素导致了死亡率,但变体的传染性、传播性以及疫苗对变体的有效性起着重要作用。通过接种针对当前变体的大规模疫苗接种以及其他非药物干预措施来降低死亡率仍然至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3764/9541139/d0fa946df4ed/fpubh-10-1018505-g0001.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