Bayesian spatial modeling of adolescent pregnancy risk through integrated nested Laplace approximation in Chiapas, 2015
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | artículo original |
| Durum: | Versión publicada |
| Yayın Tarihi: | 2019 |
| Diğer Bilgiler: | 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. |
| Ülke: | Portal de Revistas UCR |
| Kurum: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Dil: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/37783 |
| Online Erişim: | https://revistas.ucr.ac.cr/index.php/psm/article/view/37783 |
| Anahtar Kelime: | Gaussian Markov Random Field additive linear models marginalization poverty illiteracy INLA México Chiapas Campo aleatorio de Gauss Markov modelos lineales aditivos marginación pobreza analfabetismo |