COVID-19 大流行的地理分布和主要决定因素:西班牙不同波次的演变

IF 2.9 2区 社会学 Q1 GEOGRAPHY Geographical Research Pub Date : 2024-08-27 DOI:10.1111/1745-5871.12669
Rosina Moreno, Esther Vayá
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引用次数: 0

摘要

在 COVID-19 大流行期间,大多数研究都对特定的时间快照进行了研究。而本研究则不同,它对西班牙各省 COVID-19 的发病率进行了全面分析,贯穿了大流行的六个不同阶段。利用空间探索技术,我们发现大流行并不是单一的,而是一波又一波。病例和死亡人数在六个波次中的空间分布存在显著差异,这表明每个波次都具有独特的特征。在全国范围内无法得出相同的结论。大流行病在空间分布上的显著地区差异表明,有必要采取国家以下一级的应对措施,以反映气候、经济活力、部门专业化和社会卫生资源的差异。空间回归模型显示,COVID-19 发病率的主要决定因素取决于阶段。流行病学研究中常见的传统因素,如气温,在大流行开始时产生了重大影响。然而,随着流动限制的实施和疫苗接种活动的开展,经济条件,尤其是经济活动水平,成为越来越重要的决定因素。
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Geographical distribution of the COVID‐19 pandemic and key determinants: Evolution across waves in Spain
Amidst the COVID‐19 pandemic, most research has examined specific temporal snapshots. This study diverges by offering a comprehensive analysis of COVID‐19 incidence across the Spanish provinces throughout six distinct waves of the pandemic. Using spatial exploratory techniques, we find no single pandemic; rather, there have been waves. Significant differences in the spatial distribution of cases and deaths across six waves show that each has unique characteristics. Homogeneous conclusions cannot be drawn at the national level. Notable regional differences in the pandemic’s spatial distribution suggest a need for subnational responses, reflecting variations in climate, economic dynamism, sectoral specialisation, and socio‐health resources. Spatial regression models show that the main determinants of COVID‐19 incidence depend on stage. Traditional factors commonly associated with epidemiological studies, such as temperature, exerted significant influence during the pandemic’s onset. However, as mobility restrictions were enforced and vaccination campaigns were rolled out, economic conditions, and especially levels of economic activity, emerged as increasingly significant determinants.
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CiteScore
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12.10%
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