建模锁定政策的严格程度：应对 COVID-19 大流行的宏观经济和医疗变量的影响。
Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic.
机构信息
Parliamentary Assembly of the Mediterranean Naples, Naples, Italy.
Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy.
出版信息
Front Public Health. 2022 May 25;10:872704. doi: 10.3389/fpubh.2022.872704. eCollection 2022.
BACKGROUND
The spread of COVID-19 has been characterized by unprecedented global lock-downs. Although, the extent of containment policies cannot be explained only through epidemic data. Previous studies already focused on the relationship between the economy and healthcare, focusing on the impact of diseases in countries with a precarious economic situation. However, the pandemic caused by SARS-CoV-2 drew most countries of the world into a precarious economic situation mostly caused by the global and local lock-downs policies.
METHODS
A discriminant analysis performed partial least squares procedure was applied to evaluate the impact of economic and healthcare variables on the containment measures adopted by 39 countries. To collect the input variables (macroeconomic, healthcare, and medical services), we relied on official databases of international organizations, such as The World Bank and WHO.
RESULTS
The stringency lock-down policies could not only be influenced by the epidemical data, but also by previous features of the selected countries, such as economic and healthcare conditions.
CONCLUSIONS
Indeed, economic and healthcare variables also contributed to shaping the implemented lock-down policies.
背景
COVID-19 的传播以史无前例的全球封锁为特征。然而，遏制政策的程度不能仅通过疫情数据来解释。先前的研究已经关注经济和医疗保健之间的关系，重点是在经济状况不稳定的国家中疾病的影响。然而，由 SARS-CoV-2 引起的大流行使世界上大多数国家陷入了由全球和地方封锁政策造成的不稳定经济状况。
方法
应用判别分析偏最小二乘程序来评估 39 个国家采取的遏制措施的经济和医疗保健变量的影响。为了收集输入变量（宏观经济、医疗保健和医疗服务），我们依赖于世界银行和世卫组织等国际组织的官方数据库。
结果
严格的封锁政策不仅受到疫情数据的影响，还受到所选国家先前特征的影响，如经济和医疗保健状况。
结论
实际上，经济和医疗保健变量也有助于塑造实施的封锁政策。
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