关于COVID-19的国际科学沟通数据:管理陷理解理解
Lilian Tzivian1, Arriel Benis2, Agnese Rusakova3
1Institute of Clinical and Preventive Medicine, University of Latvia, Riga LV-1586, Latvia.
Journal of public health (Oxford, England)
|December 23, 2023
概括
国际COVID-19数据报告在各国之间存在很大差异,阻碍了全球合作. 标准化数据呈现对于准确的比较和未来的流行病应对工作至关重要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 全球各国都采用了各种统计方法来估计2019年新冠病毒病 (COVID-19) 的影响.
- 国家数据库数据收集和报告中的差异对直接的国际比较和解释COVID-19影响提出了挑战.
- 数据的可用性和呈现的变化阻碍了有效的全球科学合作和公共卫生监测.
研究的目的:
- 评估各国对COVID-19数据报告和统计估计的具体方法.
- 确定卫生当局如何向公众和科学界呈现COVID-19数据的关键差异.
- 为未来在流行病学数据共享方面的国际合作推改进.
主要方法:
- 来自英国 (NHS),以色列 (卫生部),拉脱维亚 (疾病预防和控制中心) 和美国 (CDC) 官方卫生当局的COVID-19报告的比较分析.
- 检查关键指标的数据呈现,包括感染病例,测试数量,阳性率,严重病例,疫苗接种状况和死亡率.
- 评估不同国家健康报告平台的数据可访问性和一致性.
主要成果:
- 在COVID-19统计数据的呈现方面观察到显著差异,包括感染病例,测试数据和阳性率.
- 在评估国家报告的严重病例,疫苗接种人数和死亡率数据中也发现了差异.
- 该研究发现,国家卫生当局如何向公众和科学界提供流行病学数据存在严重的不一致性.
结论:
- 这些发现突显了对COVID-19数据报告的标准化全球方法的迫切需要,以促进准确的国际比较.
- 实施可查找性,可访问性,互操作性和可重复使用性 (FAIR) 原则可以指导制定基本的全球数据标准.
- 建立共同标准将加强科学界内外的沟通和合作,以应对未来的公共卫生挑战.
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