Introduction: This study quantifies excess mortality in Spain during and after the COVID-19 pandemic and assesses whether mortality levels are returning to pre-pandemic patterns. Methods: Expected mortality was estimated using stochastic forecasting models calibrated on pre-pandemic data (1990–2019) and compared with observed mortality over the period 2020–2023. The analysis relies on a multi-model framework including the Lee–Carter, Cairns–Blake–Dowd, and age–period–cohort models. Results: The results show a substantial excess mortality during the pandemic years, with the proportion of ages exhibiting punctual excess mortality increasing from around 65% before the pandemic to approximately 85% during 2020–2022. Excess mortality declined sharply in 2023, when indicators returned to levels comparable to those observed prior to COVID-19, suggesting a transition toward near-normal mortality. The Lee–Carter model showed superior short-term performance in detecting abrupt mortality deviations, while APC and CBD models captured longer-term structural patterns. Conclusions: These findings highlight the usefulness of multi-model stochastic approaches for monitoring excess mortality and assessing recovery trajectories following major epidemiological shocks.
Ibáñez-Soriano et al. (Tue,) studied this question.