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

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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Bibliographic Details
Published in:Revista de matemática, teoria y aplicaciones Vol. 11; no. 1; pp. 69 - 80
Main Authors: Gladys M. Casas Cardoso, Ricardo Grau Abalo, Gladys Cardoso Romero
Format: Journal Article
Language:English
Published: Universidad de Costa Rica 01-04-2011
Online Access:Get full text
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Summary: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.
ISSN:2215-3373
DOI:10.15517/rmta.v11i1.238