Bayesian spatial modeling of adolescent pregnancy risk through integrated nested Laplace approximation in Chiapas, 2015
সংরক্ষণ করুন:
| লেখক: | |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2019 |
| বিবরন: | 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. |
| দেশ: | Portal de Revistas UCR |
| প্রতিষ্ঠান: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| ভাষা: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/37783 |
| অনলাইন ব্যবহার করুন: | https://revistas.ucr.ac.cr/index.php/psm/article/view/37783 |
| মুখ্য শব্দ: | Gaussian Markov Random Field additive linear models marginalization poverty illiteracy INLA México Chiapas Campo aleatorio de Gauss Markov modelos lineales aditivos marginación pobreza analfabetismo |