On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain.

IF 3.6
Álvaro Briz-Redón, Ángel Serrano-Aroca
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引用次数: 5

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19), has led to the deepest global health and economic crisis of the current century. This dramatic situation has forced the public health authorities and pharmaceutical companies to develop anti-COVID-19 vaccines in record time. Currently, almost 80% of the population are vaccinated with the required number of doses in Spain. Thus, in this paper, COVID-19 incidence and lethality rates are analyzed through a segmented spatio-temporal regression model that allows studying if there is an association between a certain vaccination level and a change (in mean) in either the incidence or the lethality rates. Spatial dependency is included by considering the Besag-York-Mollié model, whereas natural cubic splines are used for capturing the temporal structure of the data. Lagged effects between the exposure and the outcome are also taken into account. The results suggest that COVID-19 vaccination has not allowed yet (as of September 2021) to observe a consistent reduction in incidence levels at a regional scale in Spain. In contrast, the lethality rates have displayed a declining tendency which has associated with vaccination levels above 50%.

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西班牙地区COVID-19疫苗接种水平与发病率和死亡率之间的关系
导致2019冠状病毒病(COVID-19)的严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)导致了本世纪最严重的全球卫生和经济危机。这种戏剧性的情况迫使公共卫生当局和制药公司在创纪录的时间内开发抗covid -19疫苗。目前,西班牙近80%的人口接种了所需剂量的疫苗。因此,本文通过分段时空回归模型对COVID-19的发病率和死亡率进行分析,研究一定的疫苗接种水平与发病率或死亡率的平均变化之间是否存在关联。通过考虑besag - york - molli模型包括空间依赖性,而使用自然三次样条来捕获数据的时间结构。暴露和结果之间的滞后效应也被考虑在内。结果表明,COVID-19疫苗接种尚未允许(截至2021年9月)观察到西班牙区域范围内发病率水平的持续下降。相比之下,死亡率呈现下降趋势,这与疫苗接种水平超过50%有关。
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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