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The Markovian Pattern of Social Deprivation for Mexicans with Diabetes

Journal
Mathematics
ISSN
2227-7390
Date Issued
2021
Author(s)
Ramírez Sánchez, José Carlos 
Mata, Leovardo
Type
Resource Types::text::journal::journal article
DOI
10.3390/math9070780
URL
https://scripta.up.edu.mx/handle/20.500.12552/1784
Abstract
This paper aims to determine the Markovian pattern of the factors influencing social deprivation in Mexicans with Type 2 diabetes mellitus (DM2). To this end, we develop a methodology to meet the theoretical and practical considerations involved in applying a Hidden Markov Model that uses non-panel data. After estimating the latent states and ergodic vectors for diabetic and nondiabetic populations, we find that the long-term state-dependent probabilities for people with DM2 show a darker perspective of impoverishment than the rest of the Mexican population. In the absence of extreme events that modify the present probability structure, the Markovian pattern confirms that people with DM2 will most likely become the poorest of Mexico’s poor. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects

Diabetes mellitus

Ergodic vectors

Hidden markov model

Social deprivation

State-dependent proba...

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