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dc.creatorSantini, Giunio
dc.creatorFordellone, Mario
dc.creatorBoffo, Silvia
dc.creatorSignoriello, Simona
dc.creatorde Vito, Danila
dc.creatorChiodini, Paolo
dc.date.accessioned2022-08-29T17:20:40Z
dc.date.available2022-08-29T17:20:40Z
dc.date.issued2022-05-25
dc.identifier.citationSantini 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.2022.872704
dc.identifier.issn2296-2565
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/8056
dc.identifier.urihttp://hdl.handle.net/20.500.12613/8084
dc.description.abstractBackground: 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.
dc.format.extent9 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofCOVID-19 Research
dc.relation.haspartFrontiers in Public Health, Vol. 10
dc.relation.isreferencedbyFrontiers Media
dc.rightsAttribution CC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLock-down modeling
dc.subjectSocio economic impact
dc.subjectContainment policies
dc.subjectCOVID-19
dc.subjectSARS-CoV-2 pandemic
dc.subjectHealthcare services
dc.titleModeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic
dc.typeText
dc.type.genreJournal article
dc.description.departmentBiology
dc.relation.doihttps://doi.org/10.3389/fpubh.2022.872704
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Science and Technology
dc.creator.orcidBoffo|0000-0002-6352-160X
dc.temple.creatorBoffo, Silvia
refterms.dateFOA2022-08-29T17:20:40Z


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