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

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      <subfield code="a">Analyzing municipal patterns of suicide and depression in Mexico</subfield>
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      <subfield code="c">Jorge Manuel Pool Cen...[et al.]</subfield>
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      <subfield code="a">This 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</subfield>
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      <subfield code="g">08/12/2025 Volume 28 Number  76 - December 2025 , p. 1 - 12</subfield>
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      <subfield code="d"> : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-</subfield>
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