https://socictopen.socict.org/files/original/5b6886384ed9c1788e7f37d877a52fe3.pdf 2faec96978769d20abba8621daebfd72 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 COVID-19 propagation mathematical modeling: the case of Senegal Creator An entity primarily responsible for making the resource Mouhamadou Diaby, Oumar Diop, Almamy Konte, Abdou Sene Description An account of the resource The outburst of the COVID-19 pandemic has raised several questions leading to a complex system in terms of modeling. Indeed, the modeling of the epidemic, at the level of a country, needs considering each of the different sources of contamination as well as the public health authorities strategy, in a specific way. With this in mind, in the present paper, we develop a mathematical model of the COVID-19 epidemic in Senegal. In the model, the population is subdivided into five compartments: susceptible, infected but asymptomatic, symptomatic, quarantined, and recovered immune people. In addition, due to its important impact in the propagation of the disease, we add one more variable: the number of infected objects. Therefore, the model corresponds to a system of six non-linear ordinary differential equations we submit to an analytical study to prove the relevancy of the model,? simulate the evolution of the epidemic, and retrieve epidemiological parameters, namely the infection rate and the basic reproduction number Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, mathematical model, reproduction number, fitting strategy Identifier An unambiguous reference to the resource within a given context 10.11145/j.biomath.2020.09.037 Source A related resource from which the described resource is derived Biomath Publisher An entity responsible for making the resource available Biomath Forum Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Mathematics