Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic
Genre
Journal articleDate
2022-05-25Author
Santini, GiunioFordellone, Mario
Boffo, Silvia

Signoriello, Simona
de Vito, Danila
Chiodini, Paolo
Department
BiologySubject
Lock-down modelingSocio economic impact
Containment policies
COVID-19
SARS-CoV-2 pandemic
Healthcare services
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http://hdl.handle.net/20.500.12613/8084
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https://doi.org/10.3389/fpubh.2022.872704Abstract
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 via 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.Citation
Santini G, Fordellone M, Boffo S, Signoriello S, De Vito D and Chiodini P (2022) Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic. Front. Public Health 10:872704. doi: 10.3389/fpubh.2022.872704Citation to related work
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