Epidemic transmission on SEIR stochastic models with nonlinear incidence rate
Our interest is to quantify the spread of an infective process with latency period and generic incidence rate that takes place in a Önite and homogeneous population. Within a stochastic framework, two random variables are deÖned to describe the variations of the number of secondary cases produced by...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/18200 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/18200 |
| Access Level: | acceso abierto |
| Palabra clave: | 519.216 57.087.1 Nonlinear incidence rate Stochastic SEIR epidemic model Index case Secondary cases Estadística Análisis Multivariante Medicina 1209 Estadística 1209.09 Análisis Multivariante 32 Ciencias Médicas |
| Sumario: | Our interest is to quantify the spread of an infective process with latency period and generic incidence rate that takes place in a Önite and homogeneous population. Within a stochastic framework, two random variables are deÖned to describe the variations of the number of secondary cases produced by an index case inside of a closed population. Computational algorithms are presented in order to characterize both random variables. Finally, theoretical and algorithmic results are illustrated by several numerical examples. |
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