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Analyzing municipal patterns of suicide and depression in Mexico : a Multilayer Network Approach

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Tag12Value
LDR  00000cab a2200000 4500
001  MAP20260002675
003  MAP
005  20260211190620.0
008  260205e20251208ury|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎931
24500‎$a‎Analyzing municipal patterns of suicide and depression in Mexico‎$b‎: a Multilayer Network Approach‎$c‎Jorge Manuel Pool Cen...[et al.]
520  ‎$a‎This article analyzes the spatial and temporal patterns of suicide and depression in municipalities in Mexico during the period 20152020 using a multilayer network approach. Based on a panel of indicators related to mental health, substance use, medical consultations, and healthcare infrastructure, the authors construct a multilayer graph using cosine similarity and apply the Infomap algorithm to detect communities with similar profiles. The study identifies five clusters with differentiated behaviors, revealing territories with higher rates of substance use and worse mental health outcomes. The findings show how network-based methods can detect municipal groupings at risk and provide useful information for guiding public health policies and interventions
650 4‎$0‎MAPA20110010515‎$a‎Salud mental
650 4‎$0‎MAPA20080550400‎$a‎Depresión
650 4‎$0‎MAPA20080549138‎$a‎Suicidio
650 4‎$0‎MAPA20090033023‎$a‎Estadística matemática
650 4‎$0‎MAPA20080610708‎$a‎Estadística de muestreo
650 4‎$0‎MAPA20080540821‎$a‎Drogas
651 1‎$0‎MAPA20080637781‎$a‎México
7102 ‎$0‎MAPA20260002095‎$a‎IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial
7730 ‎$w‎MAP20200034445‎$g‎08/12/2025 Volume 28 Number 76 - December 2025 , p. 1 - 12‎$x‎1988-3064‎$t‎Revista Iberoamericana de Inteligencia Artificial‎$d‎ : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-
856  ‎$u‎https://journal.iberamia.org/index.php/intartif/article/view/2504