Density model for a pesticide exposure index applied to rural workers
Since agriculture is one of the main productive activities in Córdoba province, Argentina, it is necessary that special attention be paid to the use of pesticides and their effect on the health of agro-applicators. One way to measure the consequences of the application of this type of substances is...
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Escuela de Perfeccionamiento en Investigación Operativa
2021
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/epio/article/view/35541 |
| Aporte de: |
| id |
I10-R359-article-35541 |
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ojs |
| institution |
Universidad Nacional de Córdoba |
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I-10 |
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R-359 |
| container_title_str |
Revista de la Escuela de Perfeccionamiento en Investigación Operativa |
| language |
Español |
| format |
Artículo revista |
| topic |
pesticide exposure goodness of fit life variables distribution generalized birnbaum-saunders inverse gaussian generalized Exposición de plaguicidas Bondad de ajuste Distribución de variables de vida Birnbaum-Saunders Generalizada Inversa Gaussiana Tipo |
| spellingShingle |
pesticide exposure goodness of fit life variables distribution generalized birnbaum-saunders inverse gaussian generalized Exposición de plaguicidas Bondad de ajuste Distribución de variables de vida Birnbaum-Saunders Generalizada Inversa Gaussiana Tipo Pradró, Olga E. Stimolo, María I. Díaz, María D. P. Density model for a pesticide exposure index applied to rural workers |
| topic_facet |
pesticide exposure goodness of fit life variables distribution generalized birnbaum-saunders inverse gaussian generalized Exposición de plaguicidas Bondad de ajuste Distribución de variables de vida Birnbaum-Saunders Generalizada Inversa Gaussiana Tipo |
| author |
Pradró, Olga E. Stimolo, María I. Díaz, María D. P. |
| author_facet |
Pradró, Olga E. Stimolo, María I. Díaz, María D. P. |
| author_sort |
Pradró, Olga E. |
| title |
Density model for a pesticide exposure index applied to rural workers |
| title_short |
Density model for a pesticide exposure index applied to rural workers |
| title_full |
Density model for a pesticide exposure index applied to rural workers |
| title_fullStr |
Density model for a pesticide exposure index applied to rural workers |
| title_full_unstemmed |
Density model for a pesticide exposure index applied to rural workers |
| title_sort |
density model for a pesticide exposure index applied to rural workers |
| description |
Since agriculture is one of the main productive activities in Córdoba province, Argentina, it is necessary that special attention be paid to the use of pesticides and their effect on the health of agro-applicators. One way to measure the consequences of the application of this type of substances is through the Index Level of Intensity at Exposure (IE), built by the Group of Environmental Epidemiology of Cancer in Córdoba, Faculty of Medical Sciences, UNC (GEACC), for the population of rural workers in Córdoba.
From a sample of rural workers, the empirical characteristics of the index were analyzed to infer about its population distribution. In the search for an adequate distribution for the intensity index, the models of the life variables were taken into account from the most traditional (exponential, Weibull, lognormal, gamma, Birnbaum-Saunders and inverse Gaussian) to the new distributions (Generalized Birnbaum-Saunders and Inverse Gaussian Type). In this work, the best fit for IE was achieved with the Weibull distribution. Once the best fit was defined, the percentiles were estimated, and three risk levels were defined (low, medium, and high). Based on these risk levels, sociodemographic and health characteristics of the workers within each group were studied. The following factors resulted the most significant to determine the risk of the applicators: the seniority (greater than 10 years) in the tasks of mixing, to apply or be present while it is handling pesticides, not to have an agronomist prescription, to inject animals and to present signs of irritation. |
| publisher |
Escuela de Perfeccionamiento en Investigación Operativa |
| publishDate |
2021 |
| url |
https://revistas.unc.edu.ar/index.php/epio/article/view/35541 |
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2024-09-03T22:23:34Z |
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2024-09-03T22:23:34Z |
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| spelling |
I10-R359-article-355412021-12-30T10:00:27Z Density model for a pesticide exposure index applied to rural workers Modelo de densidad para un índice de exposición a plaguicidas aplicado en trabajadores rurales Pradró, Olga E. Stimolo, María I. Díaz, María D. P. pesticide exposure goodness of fit life variables distribution generalized birnbaum-saunders inverse gaussian generalized Exposición de plaguicidas Bondad de ajuste Distribución de variables de vida Birnbaum-Saunders Generalizada Inversa Gaussiana Tipo Since agriculture is one of the main productive activities in Córdoba province, Argentina, it is necessary that special attention be paid to the use of pesticides and their effect on the health of agro-applicators. One way to measure the consequences of the application of this type of substances is through the Index Level of Intensity at Exposure (IE), built by the Group of Environmental Epidemiology of Cancer in Córdoba, Faculty of Medical Sciences, UNC (GEACC), for the population of rural workers in Córdoba. From a sample of rural workers, the empirical characteristics of the index were analyzed to infer about its population distribution. In the search for an adequate distribution for the intensity index, the models of the life variables were taken into account from the most traditional (exponential, Weibull, lognormal, gamma, Birnbaum-Saunders and inverse Gaussian) to the new distributions (Generalized Birnbaum-Saunders and Inverse Gaussian Type). In this work, the best fit for IE was achieved with the Weibull distribution. Once the best fit was defined, the percentiles were estimated, and three risk levels were defined (low, medium, and high). Based on these risk levels, sociodemographic and health characteristics of the workers within each group were studied. The following factors resulted the most significant to determine the risk of the applicators: the seniority (greater than 10 years) in the tasks of mixing, to apply or be present while it is handling pesticides, not to have an agronomist prescription, to inject animals and to present signs of irritation. Dado que la agricultura es una de las principales actividades productivas de la provincia de Córdoba (Argentina), es importante el estudio del uso de los plaguicidas y su efecto en la salud de los trabajadores rurales. En particular, los agroaplicadores cuya salud está más expuesta al riesgo de uso de los plaguicidas. En este sentido el Grupo de Epidemiología Ambiental del Cáncer en Córdoba, Facultad de Ciencias Médicas, UNC (GEACC) definió un índice del Nivel de Intensidad a la Exposición (IE), de los plaguicidas para medir el riesgo de exposición de los agroaplicadores de la provincia de Córdoba. A partir de una muestra de trabajadores rurales, se buscó una distribución adecuada para el índice, se tuvieron en cuenta los modelos de las variables de vida desde los más tradicionales (exponencial, Weibull, lognormal, gamma, Birnbaum-Saunders y Gaussiana inversa) hasta las nuevas distribuciones (Birnbaum-Saunders Generalizada e Inversa Gaussiana Tipo). En este trabajo, el mejor ajuste para el IE se logró con la distribución Weibull. A partir del ajuste definido se estimaron los percentiles y se delimitaron tres niveles de riesgo (bajo, medio y alto). En función a estos niveles de riesgo se estudiaron características sociodemográficas y de salud de los trabajadores dentro de cada grupo. Los factores que resultaron más significativos para determinar el riesgo de los aplicadores fueron: la antigüedad (mayor a 10 años) en las tareas de mezclar, aplicar o estar presente mientras se manipulan plaguicidas, no tener receta de ingeniero agrónomo, inyectar animales y la presencia de signos de irritación. ARK CAICYT: http://id.caicyt.gov.ar/ark:/s18539777/abueifk1q Escuela de Perfeccionamiento en Investigación Operativa 2021-11-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://revistas.unc.edu.ar/index.php/epio/article/view/35541 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 29 Núm. 50 (2021): NOVIEMBRE 1853-9777 0329-7322 spa https://revistas.unc.edu.ar/index.php/epio/article/view/35541/35674 https://revistas.unc.edu.ar/index.php/epio/article/view/35541/35695 Derechos de autor 2021 Olga E. Pradró, María I. Stimolo, María D. P. Díaz https://creativecommons.org/licenses/by-nc-sa/4.0 |