An investigation of the effects of lockdowns and COVID-19 vaccinations in Ireland

Niloufar Pourshir Sefidi, Amin Shoari Nejad, P. Mooney
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Abstract

Abstract. The COVID-19 pandemic resulted in many deaths and much upheaval worldwide. Public health responses to the pandemic differed greatly between countries. In 2023, as we emerge from the aftermath of the pandemic, it is now timely to assess the impact of specific public health response measures such as lockdowns and vaccinations. This assessment can help inform the development of evidence-based strategies for future public health responses in pandemic scenarios. We describe the implementation of a Bayesian Hierarchical Poisson Regression (BHPR) model to estimate the impact of pandemic response measures and vaccination on all-cause deaths, including COVID-19, in Ireland. We find that the implementation of lockdown measures and an appropriate vaccination timeline were effective in reducing the number of deaths in Ireland by, most likely, reducing the COVID- 19 mortality rate. We believe our approach could be used to assess the impact of pandemic response measures and vaccination in other countries as well where similar data is available.
对爱尔兰封锁和COVID-19疫苗接种效果的调查
摘要2019冠状病毒病大流行导致全球许多人死亡和动荡。各国对大流行的公共卫生反应差异很大。2023年,随着我们从大流行的余波中走出来,现在是时候评估封锁和疫苗接种等具体公共卫生应对措施的影响了。这一评估有助于为未来大流行情景下的公共卫生应对提供循证战略。我们描述了贝叶斯层次泊松回归(BHPR)模型的实施,以估计大流行应对措施和疫苗接种对爱尔兰全因死亡(包括COVID-19)的影响。我们发现,实施封锁措施和适当的疫苗接种时间表有效地减少了爱尔兰的死亡人数,很可能降低了COVID- 19的死亡率。我们认为,我们的方法可用于评估其他国家的大流行应对措施和疫苗接种的影响,以及可获得类似数据的国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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