Unmasking the COVID-19 Pandemic Prevention Gains: Excess Mortality Reversal in 2022 - Publikacja - MOST Wiedzy

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Unmasking the COVID-19 Pandemic Prevention Gains: Excess Mortality Reversal in 2022

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Objectives: The purpose of this study was to assess the long-term effectiveness of COVID-19 pandemic prevention measures in saving lives after European governments began to lift restrictions. 
Study design: Excess mortality interrupted time series.
Methods: Country-level weekly data on deaths were fitted to the Poisson mixed linear model to estimate excess deaths. Based on this estimate, the percentage of excess deaths above the baseline during the pandemic (week 11 in 2020 to week 15 in 2022) (when public health interventions were in place) and during the post-pandemic period (week 16 in 2022 to week 52 in 2022) were calculated. These results were fitted to the linear regression model to determine any potential relationship between mortality
during these two periods.
Results: The model used in this study had high predictive value (adjusted R2 ¼ 59.4%). Mortality during the endemic (post-pandemic) period alone increased by 7.2% (95% confidence interval [CI]: 5.7, 8.6) above baseline, while each percentage increase in mortality during the pandemic corresponded to a 0.357% reduction (95% CI: 0.243, 0.471) in mortality during the post-pandemic period.
Conclusions: The most successful countries in terms of protective measures also experienced the highest mortality rates after restrictions were lifted. The model used in this study clearly shows a measure of bidirectional mortality displacement that is sufficiently clear to mask any impact of long COVID on overall mortality. Results from this study also seriously impact previous cost-benefit analyses of pandemic prevention measures, since, according to the current model, 12.2% (95% CI: 8.3, 16.1) of the
gains achieved in pandemic containment were lost after restrictions were lifted.

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Kategoria:
Publikacja w czasopiśmie
Typ:
Publikacja w czasopiśmie
Opublikowano w:
PUBLIC HEALTH nr 223, strony 193 - 201,
ISSN: 0033-3506
Rok wydania:
2023
Opis bibliograficzny:
https://www.sciencedirect.com/science/article/pii/S0033350623002871
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) https://doi.org/10.1016/j.puhe.2023.08.004.
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