Spatial regression models to describe gastric cancer behavior in Colombia 2005-2012

Authors

  • Francisco Javier Sarmiento Parra Universidad Distrital Francisco José de Caldas. Author
  • Cristhian Eduardo Murcia Galeano Universidad Distrital Francisco José de Caldas. Author
  • Luis Fernando Santa Guzmán Universidad Distrital Francisco José de Caldas. Author
  • Luis Fernando Gómez Rodríguez Universidad Distrital Francisco José de Caldas. Author

Keywords:

generalized linear mixed model, negative binomial regression, Moran eigenvectors, gastric cancer

Abstract

Gastric cancer heads the list of deaths caused by diseases in Colombia, and therefore, its prevention, early detection, and treatment, has become a State policy. This research describes the behavior of gastric cancer in Colombia at the municipal level for the period 2005-2012, using classic spatial regression models, that allowed to identify potential risk factors associated with the phenomenon, and maps of the disease. Through this analysis was possible to determine spatial patterns and clusters, and to classify the territory by zones according to level of risk of prevalence of the disease.

Downloads

Download data is not yet available.

Downloads

Published

2017-12-29

Issue

Section

Artículos

How to Cite

Spatial regression models to describe gastric cancer behavior in Colombia 2005-2012. (2017). Análisis Geográficos, 52, 155-173. https://digital.dossiersoluciones.com/digital/ojsigac/index.php/analisisgeo/article/view/81

Similar Articles

1-10 of 25

You may also start an advanced similarity search for this article.