Publicación: Impacto de la conciencia de los enfermos en la transmisión de enfermedades en un modelo SIR
dc.audience | ||
dc.contributor.advisor | Arenas Tawil, Abraham José | |
dc.contributor.author | Navarro Benítez, Daniela | |
dc.contributor.jury | Pérez Reyes, Edgardo Enrique | |
dc.contributor.jury | Banquet Brango, Carlos Alberto | |
dc.date.accessioned | 2024-04-06T13:35:06Z | |
dc.date.available | 2027-02-04 | |
dc.date.available | 2024-04-06T13:35:06Z | |
dc.date.issued | 2024-04-05 | |
dc.description.abstract | En el presente trabajo, se llevó a cabo un análisis de un modelo matemático, el cual establece cinco subpoblaciones definidas como: susceptibles conscientes, susceptibles inconscientes, infectados consientes, infectados inconsciente y recuperados. Se realizó un análisis exhaustivo del nuevo sistema que permitió demostrar propiedades fundamentales del sistema que amplían la comprensión teórica de la propagación de enfermedades, tales como la existencia, unicidad, positividad y acotamiento de sus soluciones. Además, encontramos los puntos de equilibrio del modelo y se llevó a cabo un estudio detallado sobre la estabilidad local del punto de equilibrio que describe la ausencia de enfermedad en este sistema. Por último, se efectuaron simulaciones numéricas implementando el comando ode45 en el software MATLAB que permitieron comparar y sustentar la precisión de los resultados previamente obtenidos mediante métodos analíticos. | spa |
dc.description.abstract | In the present work, an analysis of a mathematical model was carried out, which establishes five subpopulations defined as: conscious susceptible, unconscious susceptible, conscious infected, unconscious infected and recovered. An exhaustive analysis of the system was carried out that allowed us to demonstrate fundamental properties of the system that expand the theoretical understanding of the spread of diseases, such as the existence, uniqueness, positivity and delimitation of its solutions. Furthermore, we found the equilibrium points of the model and a detailed study was carried out on the local stability of the equilibrium point that describes the absence of disease in this system. Finally, numerical simulations were carried out by implementing the $ode45$ command in the MATLAB software, which allowed us to compare and support the precision of the results previously obtained through analytical methods. | |
dc.description.degreelevel | Pregrado | |
dc.description.degreename | Matemático(a) | |
dc.description.modality | Trabajos de Investigación y/o Extensión | |
dc.description.tableofcontents | Declaración de autoria....................6 | |
dc.description.tableofcontents | Agradecimientos....................7 | |
dc.description.tableofcontents | Resumen....................8 | |
dc.description.tableofcontents | Abstrat....................9 | |
dc.description.tableofcontents | Índice de figuras....................12 | |
dc.description.tableofcontents | Índice de tablas....................13 | |
dc.description.tableofcontents | Introducción....................14 | |
dc.description.tableofcontents | Preliminares....................17 | |
dc.description.tableofcontents | Modelo propuesto....................20 | |
dc.description.tableofcontents | Existencia , unicidad, positividad y acotación de las soluciones del modelo planteado....................24 | |
dc.description.tableofcontents | Positividad y acotación....................24 | |
dc.description.tableofcontents | Positividad....................25 | |
dc.description.tableofcontents | Acotación....................27 | |
dc.description.tableofcontents | Existencia y unicidad del sistema planteado....................28 | |
dc.description.tableofcontents | Análisis de estabilidad local....................34 | |
dc.description.tableofcontents | Existencia de puntos críticos....................35 | |
dc.description.tableofcontents | Número de reproducción básico R_{0}....................38 | |
dc.description.tableofcontents | Estabilidad local del punto libre de enfermedad....................41 | |
dc.description.tableofcontents | Simulaciones....................45 | |
dc.description.tableofcontents | Conclusiones y trabajos futuros....................53 | |
dc.description.tableofcontents | Conclusiones....................53 | |
dc.description.tableofcontents | Trabajos futuros....................54 | |
dc.description.tableofcontents | Apendice A....................55 | |
dc.description.tableofcontents | Apendice B....................58 | |
dc.description.tableofcontents | Referencias....................63 | |
dc.format.mimetype | application/pdf | |
dc.identifier.instname | Universidad de Córdoba | |
dc.identifier.reponame | Repositorio universidad de Córdoba | |
dc.identifier.repourl | https://repositorio.unicordoba.edu.co | |
dc.identifier.uri | https://repositorio.unicordoba.edu.co/handle/ucordoba/8275 | |
dc.language.iso | spa | |
dc.publisher | Universidad de Córdoba | |
dc.publisher.faculty | Facultad de Ciencias Básicas | |
dc.publisher.place | Montería, Córdoba, Colombia | |
dc.publisher.program | Matemática | |
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dc.relation.references | F. Brauer and C. Castillo, Mathematical Models in Population Biology and Epidemiology, Second edition, Texts in Applied Mathematics, 40, New York, (2012) | |
dc.relation.references | G. Gonzáles, M. Díaz and A. Arenas, Mathematical modeling to study the impact of immigration on the dynamics of the COVID-19 pandemic: A case study for Venezuela, Spatial and Spatio-temporal Epidemiology, 43, (2022), 1-7, https://doi.org/10.1016/j.sste.2022.100532 | |
dc.relation.references | G. Agaba, Modelling the Spread of COVID-19 with Impact of Awareness and Medical Assistance, Mathematical Theory and Modeling, 10, (2020), 2224-5804, oai:ojs.localhost:article/52937 | |
dc.relation.references | H. Purushwani and C. Purushwani, Stability analysis of Swine flu epidemics model with awareness and fear, Stability analysis of Swine flu epidemics model with awareness and fear, 13, (2022), 2881-2895, 10.22075/IJNAA.2022.24852.2840 | |
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dc.relation.references | K. Yan, Modeling the Effect of Human Behavior on Disease Transmission, Mathematics and Statistics Theses, 1, (2022), 1-48, https://creativematter.skidmore.edu/math_stu_schol | |
dc.relation.references | K. Goel and R. Nilam, A nonlinear SAIR epidemic model: Effect of awareness class, nonlinear incidences, saturated treatment and time delay, Ricerche di Matematica, (2022), 1-35, https://doi.org/10.1007/s11587-022-00720-6 | |
dc.relation.references | L. Perko, Differential equations and dynamical systems, Springer Science & Business Media, 7, USA, (2013) | |
dc.relation.references | M. Martcheva, An Introduction to Mathematical Epidemiology, Texts in Applied Mathematics, Springer Science & Business Media, 61, New York, (2015) | |
dc.relation.references | N. Lebovitz, Ordinary differential equation, cengage learning, 2, New York, (2019) | |
dc.relation.references | P. Van den Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Mathematical Biosciences, 180, (2002), 29-48, http://www.math.unb.ca/ watmough | |
dc.relation.references | R. Thomas, Knowledge Aware and Culturally Sensitive SIR Models for Infectious Disease Spread, Scholarship at UWindsor, 105, (2012), 1-97, https://scholar.uwindsor.ca/etd/105 | |
dc.relation.references | Y. Tesfaye, On the comparason between picard's iteration method and adomian decomposition method in solving linear & non-lineal differential equations, MSc Graduate Seminar, (2015), 1-31, http://ir.haramaya.edu.et/hru/bitstream/handle/123456789/1454/yohannes%20tesfaye.pdf?sequence=1 | |
dc.relation.references | U. Fatima, D. Baleanua, N. Ahmed and S. Azan, Numerical Study of Computer Virus Reaction Diffusion Epidemic Model, Tech Science Press, 66, (2021), 3184-3197, 10.32604/cmc.2021.012666 | |
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dc.rights | Copyright Universidad de Córdoba, 2024 | |
dc.rights.accessrights | info:eu-repo/semantics/embargoedAccess | |
dc.rights.coar | http://purl.org/coar/access_right/c_f1cf | |
dc.rights.license | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.keywords | Models | |
dc.subject.keywords | Unconscious | |
dc.subject.keywords | Infectious diseases | |
dc.subject.keywords | Aware | |
dc.subject.keywords | Awareness | |
dc.subject.keywords | Stability | |
dc.subject.keywords | Endemic | |
dc.subject.keywords | Disease free | |
dc.subject.proposal | Modelos | |
dc.subject.proposal | Inconsciente | |
dc.subject.proposal | Enfermedades infecciosas | |
dc.subject.proposal | Consciente | |
dc.subject.proposal | Conciencia | |
dc.subject.proposal | Estabilidad | |
dc.subject.proposal | Endémico | |
dc.subject.proposal | Libre de enfermedad | |
dc.title | Impacto de la conciencia de los enfermos en la transmisión de enfermedades en un modelo SIR | spa |
dc.type | Trabajo de grado - Pregrado | |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
dc.type.content | Text | |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |
dspace.entity.type | Publication |
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