Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.
Leuven Biostatistics and Statistical Bioinformatics Centre, I-Biostat, KU Leuven, Leuven, Belgium.
BMC Public Health. 2024 Oct 22;24(1):2916. doi: 10.1186/s12889-024-20415-x.
Over the past four years, the COVID-19 pandemic has exerted a profound impact on public health, including on mortality trends. This study investigates mortality patterns in Belgium by examining all-cause mortality, excess mortality, and cause-specific mortality.
We retrieved all-cause mortality data from January 1, 2009, to December 31, 2022, stratified by age group and sex. A linear mixed model, informed by all-cause mortality from 2009 to 2019, was used to predict non-pandemic all-cause mortality rates in 2020-2022 and estimate excess mortality. Further, we also analyzed trends in cause-specific and premature mortality.
Different all-cause mortality patterns could be observed between the younger (<45 years) and older age groups. The impact of the COVID-19 pandemic was particularly evident among older age groups. The highest excess mortality occurred in 2020, while a reversal in this trend was evident in 2022. We observed a notable effect of COVID-19 on cause-specific and premature mortality patterns over the three-year period.
Despite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead.
在过去的四年中,COVID-19 大流行对公共卫生产生了深远的影响,包括对死亡率趋势的影响。本研究通过考察全因死亡率、超额死亡率和死因特异性死亡率来研究比利时的死亡率模式。
我们检索了 2009 年 1 月 1 日至 2022 年 12 月 31 日的全因死亡率数据,按年龄组和性别分层。使用基于 2009 年至 2019 年全因死亡率的线性混合模型来预测 2020-2022 年非大流行全因死亡率,并估计超额死亡率。此外,我们还分析了死因特异性和过早死亡率的趋势。
在年轻(<45 岁)和老年年龄组之间可以观察到不同的全因死亡率模式。COVID-19 大流行的影响在老年年龄组中尤为明显。最高的超额死亡率发生在 2020 年,而这一趋势在 2022 年出现逆转。我们观察到 COVID-19 在三年期间对死因特异性和过早死亡率模式产生了显著影响。
尽管在过去的三年中 COVID-19 报告的死亡率持续下降,但在未来几年中仍必须仔细监测死亡率趋势。