Max Planck Institute for Demographic Research, Rostock, Germany.
Research University Higher School of Economics, Moscow, Russia.
Sci Data. 2021 Sep 6;8(1):235. doi: 10.1038/s41597-021-01019-1.
The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org ) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.
COVID-19 大流行暴露了现有国际和国家统计监测系统在覆盖范围和质量方面的巨大差距。令人震惊的是，为了能够对意外的流行病学威胁做出充分反应，及时、准确、并且在国家间具有可比性地获取数据极具挑战性。定量评估短期风险因素导致的死亡负担的最可靠和最可靠的方法是基于估计每周的超额死亡人数。与监测 COVID-19 诊断相关的死亡人数或计算受众多问题（例如检测范围和诊断方法的可比性）影响的发病率或病死率相比，这种方法更可靠。为了应对新出现的数据挑战，已经建立了一个关于每周死亡率的新数据资源。短期死亡率波动（STMF，可在 www.mortality.org 上获得）数据系列是第一个提供开放获取、协调、统一和全面记录的关于每周全因死亡率的国际数据库。STMF 在线可视化工具提供了一个机会，可以通过交互式图形界面快速评估一个或多个国家的每周超额死亡率。
