Modelling SARS-CoV-II impact

Barrabés Roura, Guillem

dc.contributor.author	Barrabés Roura, Guillem
dc.date.accessioned	2021-06-15T13:42:46Z
dc.date.available	2021-06-15T13:42:46Z
dc.date.issued	2021-05-18
dc.identifier.uri	http://hdl.handle.net/20.500.12328/2630
dc.description.abstract	SARS-CoV-II has affected all of us, the aim of this project was to provide a mathematical model to understand the complex reality and merging two powerful branches of mathematics stochastic processes and dynamical systems. By implementing the model it will be able to show us the dynamics of the current situation and enable policymakers as well as economic agents to understand the current complex reality. This model it is fully designed to be able to provide qualitative valuable information that will be transformed into better decisions and hopefully less demographic as well as economic impact.	en
dc.format.extent	41	ca
dc.language.iso	eng	ca
dc.publisher	Universitat Internacional de Catalunya	ca
dc.rights	Aquest treball està subjecte a la llicència Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ca
dc.subject.other	Procés estocàstic	ca
dc.subject.other	Model matemàtic	ca
dc.subject.other	Cadena Markov	ca
dc.subject.other	Sistemes dinàmics	ca
dc.subject.other	COVID-19 (Malaltia)	ca
dc.subject.other	Proceso estocástico	es
dc.subject.other	Modelo matemático	es
dc.subject.other	Cadena de Markov	es
dc.subject.other	Sistemas dinámicos	es
dc.subject.other	COVID-19	es
dc.subject.other	Stochastic process	en
dc.subject.other	Mathematical model	en
dc.subject.other	Markov chain	en
dc.subject.other	Dynamical systems	en
dc.subject.other	COVID-19	en
dc.title	Modelling SARS-CoV-II impact	en
dc.type	info:eu-repo/semantics/bachelorThesis	ca
dc.description.version	info:eu-repo/semantics/publishedVersion	ca
dc.rights.accessLevel	info:eu-repo/semantics/openAccess
dc.embargo.terms	cap	ca
dc.subject.udc	51	ca

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