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识别 COVID-19 直接影响指标的方法学问题:发病率、严重程度和死亡率的快速范围综述。

Identification of methodological issues regarding direct impact indicators of COVID-19: a rapid scoping review on morbidity, severity and mortality.

机构信息

National Centre for Epidemiology, Carlos III Health Institute, Madrid, Spain.

Neurodegenerative Diseases of the Centre for Biomedical Network Research (CIBERNED), Madrid, Spain.

出版信息

Eur J Public Health. 2024 Jul 1;34(Supplement_1):i3-i10. doi: 10.1093/eurpub/ckae072.

Abstract

BACKGROUND

During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers.

METHODS

We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe.

RESULTS

After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%).

CONCLUSIONS

The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations.

摘要

背景

在第一波疫情期间,COVID-19 监测侧重于量化不断增长的全球卫生危机的规模和升级。科学界首先通过基本指标评估风险,如病例数或新病例和死亡人数的增长率,后来开始使用其他直接影响指标进行更详细的分析。我们旨在综合科学界通过研究论文中报告的指标评估 COVID-19 大流行对人口健康的直接影响的贡献。

方法

我们进行了快速范围审查,以确定和描述 2020 年 1 月至 2021 年 6 月期间发表的文章中包含的健康指标,使用一种策略在 PubMed、EMBASE 和世卫组织 COVID-19 数据库中搜索。来自欧洲公共卫生机构的 16 名专家筛选了论文并检索了指标特征。我们还在在线调查中询问了这些健康指标如何被添加到并在欧洲的政策文件中使用。

结果

在审查了 3891 条记录后,我们选择了 67 篇文章和 233 个指标的最终样本。我们从 33 篇文章中确定了 52 个(22.3%)发病率指标,27 篇文章中的 105 个严重程度指标(45.1%)和 51 篇文章中的 68 个死亡率指标(29.2%)。来自 22 个国家的 22 名受访者完成了 31 份问卷,大多数报告了发病率指标(29 个,93.5%),其次是死亡率指标(26 个,83.9%)。

结论

这里整理的指标可能有助于评估未来大流行的影响。因此,应该对其进行标准化测量,以便在不同环境、国家和不同人群之间进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f06b/11215319/1ecefffd4d45/ckae072f1.jpg

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