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dc.creatorKhoshnaw, Sarbaz H.A.
dc.creatorShahzad, Muhammad
dc.creatorAli, Mehboob
dc.creatorSultan, Faisal
dc.date.accessioned2020-07-27T16:09:23Z
dc.date.available2020-07-27T16:09:23Z
dc.date.created2020-09
dc.identifier.issn0960-0779spa
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S0960077920303313?via%3Dihubspa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/11176
dc.format.extent10 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.publisherChaos, Solitons and Fractalseng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectModelos matemáticosspa
dc.subjectAnálisis de sensibilidadspa
dc.titleA quantitative and qualitative analysis of the COVID–19 pandemic modelspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.subject.keywordCoronavirus disease (COVID-19)spa
dc.subject.keywordMathematical modelingspa
dc.subject.keywordModel reductionspa
dc.subject.keywordSensitivity analysisspa
dc.subject.keywordComputational simulations Subject Classificationspa
dc.subject.keyword92D30spa
dc.subject.keyword92D25spa
dc.subject.keyword92C42spa
dc.subject.keyword34C60spa
dc.identifier.doihttps://doi.org/10.1016/j.chaos.2020.109932spa
dc.description.abstractenglishGlobal efforts around the world are focused on to discuss several health care strategies for minimizing the impact of the new coronavirus (COVID-19) on the community. As it is clear that this virus becomes a public health threat and spreading easily among individuals. Mathematical models with computational simulations are effective tools that help global efforts to estimate key transmission parameters and further improvements for controlling this disease. This is an infectious disease and can be modeled as a system of non-linear differential equations with reaction rates. This work reviews and develops some suggested models for the COVID-19 that can address important questions about global health care and suggest important notes. Then, we suggest an updated model that includes a system of differential equations with transmission parameters. Some key computational simulations and sensitivity analysis are investigated. Also, the local sensitivities for each model state concerning the model parameters are computed using three different techniques: non-normalizations, half normalizations, and full normalizations. Results based on the computational simulations show that the model dynamics are significantly changed for different key model parameters. Interestingly, we identify that transition rates between asymptomatic infected with both reported and unreported symptomatic infected individuals are very sensitive parameters concerning model variables in spreading this disease. This helps international efforts to reduce the number of infected individuals from the disease and to prevent the propagation of new coronavirus more widely on the community. Another novelty of this paper is the identification of the critical model parameters, which makes it easy to be used by biologists with less knowledge of mathematical modeling and also facilitates the improvement of the model for future development theoretically and practically.spa


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