Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings

Juan Carlos Bazo-Alvarez; Darwin Del Castillo; Luis Piza; Antonio Bernabé-Ortiz; Rodrigo M. Carrillo-Larco; Liam Smeeth; Robert H. Gilman; William Checkley; J. Jaime Miranda

doi:10.1093/aje/kwae466

Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings

Juan Carlos Bazo-Alvarez
, Darwin Del Castillo
, Luis Piza
, Antonio Bernabé-Ortiz
, Rodrigo M. Carrillo-Larco
, Liam Smeeth
, Robert H. Gilman
, William Checkley
, J. Jaime Miranda

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Original language	English
Pages (from-to)	901-911
Number of pages	11
Journal	American Journal of Epidemiology
Volume	195
Issue number	4
DOIs	https://doi.org/10.1093/aje/kwae466
State	Published - 1 Apr 2026
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1093/aje/kwae466

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@article{8d6598c891234ee2a79af08239234df8,

title = "Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings",

keywords = "cluster analysis, low- and middle-income countries, mortality risk, multimorbidity patterns, sociodemographic characteristics, unsupervised machine learning",

author = "Bazo-Alvarez, \{Juan Carlos\} and \{Del Castillo\}, Darwin and Luis Piza and Antonio Bernab{\'e}-Ortiz and Carrillo-Larco, \{Rodrigo M.\} and Liam Smeeth and Gilman, \{Robert H.\} and William Checkley and Miranda, \{J. Jaime\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].",

year = "2026",

month = apr,

day = "1",

doi = "10.1093/aje/kwae466",

language = "English",

volume = "195",

pages = "901--911",

journal = "American Journal of Epidemiology",

issn = "0002-9262",

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TY - JOUR

T1 - Multimorbidity patterns, sociodemographic characteristics, and mortality

T2 - Data science insights from low-resource settings

AU - Bazo-Alvarez, Juan Carlos

AU - Del Castillo, Darwin

AU - Piza, Luis

AU - Bernabé-Ortiz, Antonio

AU - Carrillo-Larco, Rodrigo M.

AU - Smeeth, Liam

AU - Gilman, Robert H.

AU - Checkley, William

AU - Miranda, J. Jaime

N1 - Publisher Copyright: © The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].

PY - 2026/4/1

Y1 - 2026/4/1

KW - cluster analysis

KW - low- and middle-income countries

KW - mortality risk

KW - multimorbidity patterns

KW - sociodemographic characteristics

KW - unsupervised machine learning

UR - https://www.scopus.com/pages/publications/105010373503

U2 - 10.1093/aje/kwae466

DO - 10.1093/aje/kwae466

M3 - Article

C2 - 39703173

AN - SCOPUS:105010373503

SN - 0002-9262

VL - 195

SP - 901

EP - 911

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

IS - 4

ER -

Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings

UN SDGs

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