Relationship between air quality and incidence of respiratory diseases in communes 4, 6, 7 and 8 of the municipality of Cúcuta, Norte de Santander

Background Acute respiratory infections (ARI) in Cúcuta -Colombia, have a comparatively high burden of disease associated with high public health costs. However, little is known about the epidemiology of these diseases in the city and its distribution within suburban areas. This study addresses this gap by estimating and mapping the risk of ARI in Cúcuta and identifying the most relevant risk factors. Methods A spatial epidemiological analysis was designed to investigate the association of sociodemographic and environmental risk factors with the rate of ambulatory consultations of ARI in urban sections of Cúcuta, 2018. The ARI rate was calculated using a method for spatial estimation of disease rates. A Bayesian spatial model was implemented using the Integrated Nested Laplace Approximation approach and the Besag-York-Mollié specification. The risk of ARI per urban section and the hotspots of higher risk were also estimated and mapped. Results A higher risk of IRA was found in central, south, north and west areas of Cúcuta after adjusting for sociodemographic and environmental factors, and taking into consideration the spatial distribution of the city’s urban sections. An increase of one unit in the percentage of population younger than 15 years; the Index of Multidimensional Poverty and the rate of ARI in the migrant population was associated with a 1.08 (1.06—1.1); 1.04 (1.01—1.08) and 1.25 (1.22—1.27) increase of the ARI rate, respectively. Twenty-four urban sections were identified as hotspots of risk in central, south, north and west areas in Cucuta. Conclusion Sociodemographic factors and their spatial patterns are determinants of acute respiratory infections in Cúcuta. Bayesian spatial hierarchical models can be used to estimate and map the risk of these infections in suburban areas of large cities in Colombia. The methods of this study can be used globally to identify suburban areas and or specific communities at risk to support the implementation of prevention strategies and decision-making in the public and private health sectors.

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Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia

Cortes-Ramirez

Gatton

Wilches-Vega

et al. 2023

BMC Public Health

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Modelación matemática de la hylocereus undatus (Haworth) D.R. Hunt (pitahaya) para el aprovechamiento agroindustrial en el Ecuador

González

Campo

Mullo

et al. 2023

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Introducción. Los productos hortofrutícolas de la amazonia ecuatoriana, los cambios, tecnológicos, las transformaciones actuales y las exigencias del mercado nacional e internacional, atribuyen a una dinámica productiva a la normativa del CODEX STAN 237-2003. Y se enfoca en la modelación matemática para resolver los problemas del aprovechamiento industrial que acarrean en el comercio. El Objetivo. Desarrollar la modelación matemática basado en parámetros de volumen, densidad, peso de sus componentes principales de la fruta exótica entera con su categorización de la Hylocereus undatus (Haworth) D.R. Hunt (pitahaya). Metodología se desarrolló en los dos cantones Pastaza y Provincia, Cantón Palora de la provincia de Morona Santiago, considerando su potencial productivo y las Normas del Codex Alimentario y Colombiana I CONTEC. La aplicación fue según la categorización, para el cálculo integral con balances de masas, volumen y densidad mediante análisis estadístico obtenido. Resultados. El modelo matemático fue en base a sus categorías extra, primera, segunda y residuo de volumen y masa, obteniendo las medias y el coeficiente de variación del 6.05% y con un margen confiabilidad del 99 % y con R2 ajustado del 98%. Logrando la obtención de nueve fórmulas matemáticas con todas sus constantes (25 – 35), y con una alta confiabilidad del 99%, para su aprovechamiento industrial de esta materia prima, por parte de productores, comerciantes e industriales y estudiantes interesado en esta investigación desarrollada en la amazonia ecuatoriana.

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Relationship between air quality and incidence of respiratory diseases in communes 4, 6, 7 and 8 of the municipality of Cúcuta, Norte de Santander

Cited by 2 publications

References 12 publications

Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia

Mapping the risk of respiratory infections using suburban district areas in a large city in Colombia

Modelación matemática de la hylocereus undatus (Haworth) D.R. Hunt (pitahaya) para el aprovechamiento agroindustrial en el Ecuador

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