https://www.socictopen.socict.org/files/original/faed1c2608d3493dffe9db966703f967.pdf 7906f388f441233881aa37496e9a5cff 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 Efficient Prediction and Analysis of the possible evolution of the SARS-CoV-2 in COVID-19 applying the SEIR model in Santo Domingo de los Tsáchilas, Ecuador Creator An entity primarily responsible for making the resource Moisés Filiberto Mora Murillo, Walter Alfredo Mora Murillo, Digvijay Pandey Description An account of the resource In Ecuador, in the Santo Domingo de los Tsáchilas province, a Special Operations Committee (SOC) was created to take containment measures against severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). This research deals with an analysis of the possible spread of the SARS-COV-2 virus causing the infectious disease caused by new coronavirus (2019-nCoV) using the Susceptible, Exposed, Infected and Recovered (SEIR) model as a prediction method according to the rigor of the containment measures evaluated. with the acceptability of people through a survey (95 %, CI) in which three parameters (α) severity of containment measures, (k) social impact of the pandemic and (β) transmission rate, are determined, which we then used as β (t) with initial value of β = 1. All this considering the rapid proliferation of the virus in the province and having an average of α = 3.23 (95 % CI: 3 - 4) and for k = 4.10 (95 % CI: 4 - 5) that the authorities will use to mitigate the spread of the virus, as well as future outbreaks of the disease. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, SARS-CoV-2, simulation, SIR model, modeling Identifier An unambiguous reference to the resource within a given context 10.29019/enfoqueute.v11n4.678 Source A related resource from which the described resource is derived Enfoqute Publisher An entity responsible for making the resource available Universidad Tecnológica Equinoccial Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General), Technology