Introducción de factores de riesgo en los Métodos de Knox y Grimson para el Estudio de Conglomerados Espacio Temporales

There are not infallible disease clusters methods, so it is necessary to know exactly when their results are reliable. In this paper space data were simulated using two uniform distributions and time data, following the pattern of simple epidemic model. Behaviour of both tests: Knox and Grimson were...

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Autores Principales: Casas Cardoso, Gladys M., Grau Abalo, Ricardo, Cardoso Romero, Gladys
Formato: Artículo
Idioma: Español
Publicado: 2015
Acceso en línea: http://revistas.ucr.ac.cr/index.php/matematica/article/view/238
http://hdl.handle.net/10669/12882
Sumario: There are not infallible disease clusters methods, so it is necessary to know exactly when their results are reliable. In this paper space data were simulated using two uniform distributions and time data, following the pattern of simple epidemic model. Behaviour of both tests: Knox and Grimson were studied. Besides the conduct of both tests with risks factors were analysed. Numerical computing were done with Mathematica software.