Temporal Multivariate Structure of Disease Burden in Latin America (2000–2023): An HJ-Biplot and Clustering Approach

DOI

10.2991/978-94-6239-803-0_4How to use a DOI?

Keywords

HJ-Biplot; Burden of Disease; Multivariate Analysis; Clustering; Latin America

Abstract

This study analyses the multivariate structure of the disease burden in Latin America between 2000 and 2023, employing HJ-Biplot and clustering techniques. Data from the Global Burden of Disease (GBD) project were employed, considering key indicators such as deaths, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life years (DALYs), and incidence and prevalence rates. The data were organised and standardised, and the analysis was conducted across three sub-periods to identify changes in the epidemiological landscape. The results revealed two main axes: one associated with premature mortality, and the other with morbidity. The first dimension was dominated by mortality indicators, particularly YLLs and deaths, whilst the second dimension was concentrated around prevalence, YLDs and incidence. Furthermore, three groups of diseases with distinct patterns were identified: mortality-associated, morbidity-associated and mixed. The temporal analysis suggests a transition towards greater influence from chronic and disabling diseases. This study provides a comprehensive, multivariate perspective that facilitates an understanding of the complex patterns of disease burden and offers relevant evidence to inform public health decision-making in the region.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jessica Ponce Ordoñez
AU  - Ariosto Vicuña Pino
AU  - Bryan Steven Cortez Chichande
AU  - Carlos Luis Muñoz Mendoza
AU  - Randy Jimmy Rodríguez Padilla
PY  - 2026
DA  - 2026/10/16
TI  - Temporal Multivariate Structure of Disease Burden in Latin America (2000–2023): An HJ-Biplot and Clustering Approach
BT  - Proceedings of the VI International Conference on Communication and Applied Technologies 2026 (ICOMTA 2026)
PB  - Atlantis Press
SP  - 25
EP  - 36
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-803-0_4
DO  - 10.2991/978-94-6239-803-0_4
ID  - Ordoñez2026
ER  -