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Analysis of Maternal Deaths in Oaxaca through Bayesian Networks

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Analysis of Maternal Deaths in Oaxaca through Bayesian Networks


Araceli Pinacho-Ríos | Guillermo De la Torre-Gea

https://doi.org/10.31142/ijtsrd10758



Araceli Pinacho-Ríos | Guillermo De la Torre-Gea "Analysis of Maternal Deaths in Oaxaca through Bayesian Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2, February 2018, pp.1658-1663, URL: https://www.ijtsrd.com/papers/ijtsrd10758.pdf

Maternal mortality has shown a considerable decrease in countries where the rate of development is higher. This is not the case for Mexico where a large number of annual maternal deaths are still perceived, which turns out to be a public health problem in which the World Health Organization (WHO) considers indigenous populations with a higher rate of maternal deaths, as is the case in the state of Oaxaca. The aim of this paper is to carry out an analysis of maternal deaths during the period 2014-2016 in the municipalities of this state in order to identify the main causes that cause it, factors that intervene in it and municipalities with the highest rate of this problem. The analysis has revealed that the National Institute of Social Security (IMSS) is the site where the highest number of deaths occurred, as well as identifying the main causes that lead to maternal mortality, determining that it is not enough to have Public and Private Health institutions, but they must have a better care system and equipment for care, without leaving aside the cultural aspect of the inhabitants of the municipalities of the state of Oaxaca.

Maternal mortality, public health, indigenous women, municipalities


IJTSRD10758
Volume-2 | Issue-2, February 2018
1658-1663
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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