Max Planck Institute for Demographic Research.
Institut national d'études démographiques.
Popul Stud (Camb). 2022 Mar;76(1):99-118. doi: 10.1080/00324728.2021.1984551. Epub 2021 Nov 9.
Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.
意大利在 COVID-19 大流行中受到严重打击,在 2020 年 2 月至 7 月期间登记的 COVID-19 死亡人数超过 35000 人。在这一疫情的第一波中,病毒在全国范围内传播不均,北部地区的病例和死亡人数更多。我们调查了人口统计学和社会经济因素,这些因素导致了病毒在第一波期间对不同地区的不同影响。使用广义加性混合模型,我们发现区域层面的 COVID-19 死亡率与代际同居程度、每千人重症监护病床数以及疫情爆发的延迟呈负相关。相反,我们没有发现最近文献中强调的几个变量(如人口密度或年龄较大或至少患有一种慢性病的人口比例)与 COVID-19 死亡率之间存在很强的关联。我们的研究结果强调了针对大流行进行具体情况具体分析的重要性。