https://www.socictopen.socict.org/files/original/695b100d8aa6089677c833c4535afbd5.pdf f275b18d81c39e3477ad6b97f7935d4d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Geographical analyses of Covid-19's spreading contagion in the challenge of global health risks Creator An entity primarily responsible for making the resource Beniamino Murgante, Giuseppe Borruso, Ginevra Balletto, Paolo Castiglia, Marco Dettori, Giuseppe Las Casas Description An account of the resource This research develops from a set of basic geographical questions about the outbreak of Covid-19 out of China in Europe. The questions dealt with why and why with such strength Italy has been seriously hit, one of the most important cases in terms of death toll out of Hubei Province and mainland China, in the world, making the country a worldwide study case for epidemic concentration and diffusion. Questions were also related to geographical similarities among the areas hit, and particularly the Po Valley region and Wuhan metropolitan region in Hubei province, and also related to why such a divide of the virus spreading was identified in Italy between Northern and Central and Southern regions and provinces. In order to try to give an answer these questions, authors realized a vast and articulated database of indicators at provincial level in Italy, performing several geographical analyses - ecological approach - based on Spatial autocorrelation and Geographical Weighted Regression, coming to the conclusion that aspects such as land take, pollution can seriously influence the phenomenon and justify a pattern as that observable in Italy. The analyses and observation of the phenomenon also suggests that policies based on urban regeneration, sustainable mobility, green infrastructures, ecosystem services can create a more sustainable scenario able to support the quality of public health. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Italy, pollution, Particulate matter, Land Take, Po Valley, COVID-19, spatial diffusion processes Identifier An unambiguous reference to the resource within a given context DOI: 10.6092/1970-9870/6849 Source A related resource from which the described resource is derived TeMA: Journal of Land Use, Mobility and Environment Publisher An entity responsible for making the resource available Università di Napoli Federico II Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Transportation engineering, Urbanization. City and country