https://socictopen.socict.org/files/original/1bdf9e2d8be8de10cb3ec4fd2ec94b84.pdf fc0e8d92c800e1e9f490d908e1a825f0 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 Spatial Analysis of Global Variability in Covid-19 Burden Creator An entity primarily responsible for making the resource Miller LE, Bhattacharyya R, Miller AL Description An account of the resource Larry E Miller, Ruemon Bhattacharyya, Anna L Miller Department of Biostatistics, Miller Scientific, Johnson City, TN, USACorrespondence: Larry E MillerMiller Scientific, Johnson City, TN, USATel +1 828-450-1895Email larry@millerscientific.comBackground: Since the first occurrence of coronavirus disease 2019 (Covid-19), a number of online tools have become available to assist with tracking Covid-19 prevalence. Yet we are unaware of resources that provide country-specific Covid-19 incidence data.Methods: We undertook a descriptive analysis of the global impact of Covid-19 using data reported on March 17, 2020. The prevalence of Covid-19 cases, fatalities attributed to Covid-19, and the case fatality rate for each of the 238 countries were accessed from the World Health Organization global Covid-19 tracking site, and we additionally calculated Covid-19 incidence based on country-specific population data. We determined the country-specific point prevalence and incidence of Covid-19 and associated deaths while using geocoded data to display their spatial distribution with geographic heat maps.Results: The analysis included 193,197 Covid-19 cases and 7859 associated deaths. The point prevalence was highest in China (80,881), Italy (31,506), Iran (16,169), and Spain (11,312); no other country reported more than 10,000 cases. The incidence (per million population) was highest in San Marino (3389) followed by Iceland (645) and Italy (521); no other country had an incidence above 400 per million population.Conclusion: Countries with a high Covid-19 prevalence may not have a high incidence, and vice versa. Public health agencies that provide real-time infection tracking tools should report country-specific Covid-19 incidence metrics, in addition to prevalence data.Keywords: coronavirus, Covid-19, incidence, prevalence Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Prevalence, incidence, coronavirus, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Risk Management and Healthcare Policy Publisher An entity responsible for making the resource available Dove Medical Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine