Post-pandemic mortality patterns and COVID-19 burden considering multiple death causes is a research paper (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
ABSTRACT Background Post-pandemic mortality rates can explore the residual COVID-19 burden and changes in other causes of death. Considering weighted multiple causes of death from death certificates (underlying and others) may help compare post-versus pre-pandemic mortality patterns, while potentially reducing the impact of cause misattribution. Estimates of post-pandemic impact are critical also for proper continuing public health policies (e.g. vaccinations). Methods We retrospectively analyse national all-cause mortality rate ratios between 2024 and pre-pandemic years (2017-2019) for gender-stratified 10-year age groups in Austria. In weighted analyses, the underlying death cause was weighted 50% and other causes shared the remaining 50%. Sensitivity analyses explored different weightings. Death-specific causes were also compared between 2024 and 2019. Lastly, number needed to vaccinate (NNV) was estimated for 5-year age groups in hypothetical scenarios. Results Despite 1,212 reported COVID-19 deaths in 2024, all-cause mortality rates were equal or lower in 2024 compared to 2019 in all strata at risk from COVID-19 (i.e., aged 60 years and over). All-cause mortality rates in 2024 were higher than in 2019 in adolescent and young adult strata. The ratio of weighted over unweighted COVID-19 death rates was 0.52-0.58 for age strata 60 years and older and even lower in sensitivity analyses, indicating that COVID-19 deaths were likely overestimated. Estimated NNV exceeded 1,700 up to 80 years old, even with 100% assumed vaccine effectiveness. Conclusions Post-pandemic COVID-19 deaths had no visible impact on mortality patterns in Austria and were likely overcounted. Increased post-pandemic mortality patterns in the young are particularly worrisome.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.