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An intersectionality perspective on tuberculosis

Social determinants affecting tuberculosis mortality rate in Ecuador

Datos Bibliográficos

ID22080312
AutoresÁngel Sebastián Rodríguez-Pazmiño (0009-0006-1153-0156, Universidad de Las Américas), Darwin Paredes-Núñez (Universidad de Las Américas), Daniel Ramos-Sarmiento (Universidad Autónoma de Santo Domingo), Karina Lalangui (0000-0001-8506-4107, Universidad UTE), Karina Lalangui-Vivanco, Solon Alberto Orlando-Narváez (0000-0002-5787-3115, Instituto Nacional de Investigación en Salud Pública), Solon Alberto Orlando, Alexandra Narvaez (Universidad de Especialidades Espíritu Santo), Greta Franco-Sotomayor (0000-0002-3068-2546, Universidad Católica de Santiago de Guayaquil), Miguel Ángel García-Bereguiain (0000-0003-0025-3609, Universidad de Las Américas, autor de correspondencia)
Año2025
Volumen13
Páginas1659887-1659887
Fecha de publicación2025-10-24
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1659887
PMID41211375
OpenAlexW4415494750
IdiomaEN
Citas recibidas1
Referencias citadas29

Introduction: The Intersectionality approach to studying tuberculosis (TB) is a complex one. While historical data and indicators consistently suggest a positive correlation between social determinants, such as poverty, and TB mortality, the strength of this association varies across different regions and countries. Overcrowding and population density are also recognized as risk factors for TB transmission. Methods: In this study, we conducted a descriptive and observational statistical analysis of TB mortality in Ecuador using the most recent public data from 2010. We examined the association between TB mortality and poverty, as well as territorial distribution, population density, and overcrowding. Results: Our univariate analysis results indicate that the rural parishes or canton capitals in the first quintile of poverty (Q1) had the highest average mortality rates (14.23 per 100,000 inhabitants). Furthermore, the average TB mortality ratio was substantially higher in rural areas compared to urban ones (12.72 vs. 7.5 per 100,000 inhabitants). Interestingly, zones with the highest population density had a significantly lower average TB mortality ratio than those with the lowest density (4.82 vs. 15.19 per 100,000 inhabitants). Likewise, overcrowding analysis reveals a significant difference between the group with the highest level (O1) vs. the lowest one (O5; 14.3 vs. 6.8 per 100,000 inhabitants). On the other hand, a multivariate linear regression model agrees that three of the four independent variables evaluated had statistically significant associations with tuberculosis mortality rate. The percentage of poverty, living in a rural area, and population density were significant predictors of higher mortality. In contrast, the level of overcrowding, as determined by multivariate analysis, did not show a significant association when the other independent variables were taken into account. Discussion: These findings reinforce the strong link between TB mortality and poverty, rurality, a discreet relationship with overcrowding, and an inverse relationship with population density in the Ecuadorian context, highlighting the need for targeted public health interventions in rural underserved communities. Future research should explore how changes in socioeconomic conditions and healthcare access have influenced TB incidence

Health care · Health equity · Intersectionality · Population · Psychological intervention · Public health · Social determinants of health · Socioeconomic status · Tuberculosis · Diagnosis and treatment of tuberculosis · Healthcare Facilities Design and Sustainability · Tuberculosis Research and Epidemiology

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    Open Access•Moisés Obaco, Juan Pablo Díaz-Sánchez•REGION•2018

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    Open Access•Otavio T Ranzani, Júlia Moreira Pescarini et al.•BMJ Global Health•2021

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Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
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