Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey
Background Human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) have evolved into a global development burden, with nearly 40 million infections and 25 million deaths. Compared to other age groups, youth have increased risks of contracting the disease due to social and he...
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| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Global Health Action |
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| Online Access: | http://dx.doi.org/10.1080/16549716.2024.2438070 |
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| author | Alejandro Aybar-Flores Alvaro Talavera Elizabeth Espinoza-Portilla |
| author_facet | Alejandro Aybar-Flores Alvaro Talavera Elizabeth Espinoza-Portilla |
| author_sort | Alejandro Aybar-Flores |
| collection | DOAJ |
| description | Background Human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) have evolved into a global development burden, with nearly 40 million infections and 25 million deaths. Compared to other age groups, youth have increased risks of contracting the disease due to social and health structural factors; thus, additional efforts are needed to effectively tackle the challenges associated with this age group. Epidemiological studies employing unsupervised learning techniques are essential for shaping public health policies. Objective This study aimed to describe the Peruvian youth population based on their sociodemographic, health, and economic characteristics using an unsupervised learning approach through the development of a neural network model based on Kohonen’s self-organizing maps (SOMs), allowing the identification of social profiles in the study population. Methods This quantitative study used data from the 2019 Peruvian Demographic and Family Health Survey. An SOM network model for clustering individuals with similar attributes and clustering prototype vectors based on the agglomerative hierarchical clustering (AHC) method and their visualization on an SOM was applied to the study sample. Results Clustering of prototype vectors yielded four clusters, each of which represented a profile of Peruvian youths based on their knowledge of HIV/AIDS and structural health determinants. Conclusions Kohonen’s neural networks allowed the identification of patterns and behaviors among youths in Peru, quantifying and characterizing the four social clusters regarding HIV/AIDS and their social determinants. Kohonen’s maps may benefit healthcare professionals and policymakers by offering a useful method for tailoring interventions and policies based on the detected profiles, thereby enhancing the visibility of these focal points at the national level. |
| format | Article |
| id | doaj-art-139d79114cf64227ba7e0961bc4647d2 |
| institution | Kabale University |
| issn | 1654-9880 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Global Health Action |
| spelling | doaj-art-139d79114cf64227ba7e0961bc4647d22025-02-05T12:46:14ZengTaylor & Francis GroupGlobal Health Action1654-98802024-12-0117110.1080/16549716.2024.24380702438070Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health surveyAlejandro Aybar-Flores0Alvaro Talavera1Elizabeth Espinoza-Portilla2Universidad del PacificoUniversidad del PacificoUniversidad ContinentalBackground Human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) have evolved into a global development burden, with nearly 40 million infections and 25 million deaths. Compared to other age groups, youth have increased risks of contracting the disease due to social and health structural factors; thus, additional efforts are needed to effectively tackle the challenges associated with this age group. Epidemiological studies employing unsupervised learning techniques are essential for shaping public health policies. Objective This study aimed to describe the Peruvian youth population based on their sociodemographic, health, and economic characteristics using an unsupervised learning approach through the development of a neural network model based on Kohonen’s self-organizing maps (SOMs), allowing the identification of social profiles in the study population. Methods This quantitative study used data from the 2019 Peruvian Demographic and Family Health Survey. An SOM network model for clustering individuals with similar attributes and clustering prototype vectors based on the agglomerative hierarchical clustering (AHC) method and their visualization on an SOM was applied to the study sample. Results Clustering of prototype vectors yielded four clusters, each of which represented a profile of Peruvian youths based on their knowledge of HIV/AIDS and structural health determinants. Conclusions Kohonen’s neural networks allowed the identification of patterns and behaviors among youths in Peru, quantifying and characterizing the four social clusters regarding HIV/AIDS and their social determinants. Kohonen’s maps may benefit healthcare professionals and policymakers by offering a useful method for tailoring interventions and policies based on the detected profiles, thereby enhancing the visibility of these focal points at the national level.http://dx.doi.org/10.1080/16549716.2024.2438070hiv/aidssocial determinants of healthunsupervised learningkohonenself-organizing mapsagglomerative hierarchical clusteringyouthperu |
| spellingShingle | Alejandro Aybar-Flores Alvaro Talavera Elizabeth Espinoza-Portilla Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey Global Health Action hiv/aids social determinants of health unsupervised learning kohonen self-organizing maps agglomerative hierarchical clustering youth peru |
| title | Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey |
| title_full | Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey |
| title_fullStr | Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey |
| title_full_unstemmed | Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey |
| title_short | Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey |
| title_sort | cluster analysis of social determinants of health and hiv aids knowledge among peruvian youths using kohonen s self organized maps a data exploration study based on a demographic and health survey |
| topic | hiv/aids social determinants of health unsupervised learning kohonen self-organizing maps agglomerative hierarchical clustering youth peru |
| url | http://dx.doi.org/10.1080/16549716.2024.2438070 |
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