Bayesian spatial modeling of adolescent pregnancy risk through integrated nested Laplace approximation in Chiapas, 2015
में बचाया:
लेखक: | |
---|---|
स्वरूप: | artículo original |
स्थिति: | Versión publicada |
प्रकाशन तिथि: | 2019 |
विवरण: | The objective of the study is to analyze the spatial distribution of adolescent municipal fertility in Chiapas during 2015. Method: from the use of estimated structural additive models through the integrated nested approach of Laplace. Results: A first model identifies the non-random spatial patterns of fertility, while a second model analyzes the effect of cofactors such as poverty, marginalization and illiteracy on the spatial distribution of adolescent fertility. Discussion: The results seem to confirm that the spaces where higher rates of marginalization, illiteracy and poverty are registered increase the risk of setting up a cluster where the adolescent fertility rates observed are on average higher than those presented by neighboring municipalities. |
देश: | Portal de Revistas UCR |
संस्थान: | Universidad de Costa Rica |
Repositorio: | Portal de Revistas UCR |
भाषा: | Español |
OAI Identifier: | oai:portal.ucr.ac.cr:article/37783 |
ऑनलाइन पहुंच: | https://revistas.ucr.ac.cr/index.php/psm/article/view/37783 |
Access Level: | acceso abierto |
संकेत शब्द: | Gaussian Markov Random Field additive linear models marginalization poverty illiteracy INLA México Chiapas Campo aleatorio de Gauss Markov modelos lineales aditivos marginación pobreza analfabetismo |