Differences in COVID-19 Mortality: Implications of Imperfect and Diverse Data Collection Systems
Differences in COVID-19 Mortality: Implications of Imperfect and Diverse Data Collection Systems
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DOI：
10.3917/popu.2101.0035
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发表时间：
2021-01-01
期刊：
影响因子：
3.8
通讯作者：
Robine, Jean-Marie
中科院分区：
文献类型：
--
作者：
Garcia, Jenny;Torres, Catalina;Robine, Jean-Marie
全球COVID-19紧急情况导致各国在数据收集过程中存在巨大差异，各国争相提供实时信息，导致死亡统计数据不完善。为了解决这一问题，我们分析了COVID-19死亡人口统计数据库（https://dc-covid.site.ined.fr/en/）中的COVID-19死亡人数，并讨论了其局限性。我们描述和说明可能阻碍国际比较的重要数据相关问题。为了减轻这些困难，我们根据数据的完整性对来源进行分类，然后分析和比较16个国家的死亡人数。最后，我们讨论了理解数据收集特征的重要性，并提供了处理不完全统计的建议。
The worldwide COVID-19 emergency has led to substantial variations in the data collection process across countries scrambling to produce real-time information, resulting in imperfect mortality statistics. To address this problem, we analyze COVID-19 death counts from the Demography of COVID-19 Deaths database (https://dc-covid.site.ined.fr/en/) and discuss their limitations. We describe and illustrate important data-related issues that may hinder international comparisons. To alleviate these difficulties, we classify sources according to their data's completeness then analyze and compare death counts for 16 countries. Finally, we discuss the importance of understanding data collection characteristics and provide recommendations for dealing with imperfect statistics.