https://socictopen.socict.org/files/original/852efb19f188498ede0103ef7a631ac3.pdf 593573f30bf0267419864c3e37dd94c6 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 SEIR Modeling of the Italian Epidemic of SARS-CoV-2 Using Computational Swarm Intelligence Creator An entity primarily responsible for making the resource Alberto Godio, Francesca Pace, Andrea Vergnano Description An account of the resource We applied a generalized SEIR epidemiological model to the recent SARS-CoV-2 outbreak in the world, with a focus on Italy and its Lombardy, Piedmont, and Veneto regions. We focused on the application of a stochastic approach in fitting the model parameters using a Particle Swarm Optimization (PSO) solver, to improve the reliability of predictions in the medium term (30 days). We analyzed the official data and the predicted evolution of the epidemic in the Italian regions, and we compared the results with the data and predictions of Spain and South Korea. We linked the model equations to the changes in people’s mobility, with reference to Google’s COVID-19 Community Mobility Reports. We discussed the effectiveness of policies taken by different regions and countries and how they have an impact on past and future infection scenarios. 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, stochastic modeling, swarm intelligence, SARS-CoV-2, COVID-19, SEIR modeling Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17103535 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine