Seguridad alimentaria, Covid-19 y crisis: una aplicación del modelo de regresión logística binomial para su estudio
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Fecha
2021
Autores
Mazuera-Arias, Rina
Albornoz-Arias, Neida
Briceño-León, Roberto
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Universidad Nacional Autónoma de México
Resumen
La pandemia por Covid-19 ha generado impactos de serias consecuencias, y si bien en el caso venezolano resultan agravantes, es especial-mente importante en el ámbito de la seguridad alimentaria. La investigación descriptiva cuantitativa tuvo por objetivo estudiar la percepción e identificación de indicadores sobre el estado de seguridad alimentaria venezolana, aportan-do conocimiento para definir o reorientar las políticas públicas dirigidas a las personas más vulnerables. Se aplicaron 507 encuestas a personas residentes en el municipio Fernández Feo, estado Táchira, próximo a la frontera con Colombia. El modelo de análisis empleado fue el de Regresión Logística Binaria, con spss®, identificándose nueve hallazgos, explicativos y predictivos, que determinaron la presencia o ausencia de determinadas características en los programas sociales de alimentación del Estado venezolano, así como grupos con mayor o menos posibilidades de acceso a tales programas. Se concluyó —dejando nuevas perspectivas para investigaciones más específicas— cómo una emergencia sanitaria por pandemia incide exponencialmente en la demanda de grupos poblacionales de escasos recursos económicos, de ayudas sociales, de carácter público o privado, para satisfacer, en lo posible, sus necesidades vitales de alimentación.
The Covid-19 pandemic has caused serious consequences, especially regarding food security, particularly dire in the Venezuelan case. Quantitative descriptive research aimed at studying the perception and identification of indicators of food security in Venezuela provided knowledge for defining or reorienting public policy for the most vulnerable population. 507 surveys were carried out in the municipality of Fernández Feo in Táchira, near the Colombian border. The analysis model used was that of Binary Logistic Regression, with spss®, which produced nine key findings, both explanatory and predictive, that determined the presence or absence of specific characteristics in social food programs in Venezuela and groups with more or less possibilities of accessing these programs. Aside from new perspectives for the future, more specific research, it shows the way a sanitary emergency induced by a pandemic exponentially affects the demand of low-income populations for social aid, whether public or private, to meet their vital need for food as adequately as possible.
The Covid-19 pandemic has caused serious consequences, especially regarding food security, particularly dire in the Venezuelan case. Quantitative descriptive research aimed at studying the perception and identification of indicators of food security in Venezuela provided knowledge for defining or reorienting public policy for the most vulnerable population. 507 surveys were carried out in the municipality of Fernández Feo in Táchira, near the Colombian border. The analysis model used was that of Binary Logistic Regression, with spss®, which produced nine key findings, both explanatory and predictive, that determined the presence or absence of specific characteristics in social food programs in Venezuela and groups with more or less possibilities of accessing these programs. Aside from new perspectives for the future, more specific research, it shows the way a sanitary emergency induced by a pandemic exponentially affects the demand of low-income populations for social aid, whether public or private, to meet their vital need for food as adequately as possible.
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Palabras clave
Covid-19, Pandemia, Seguridad alimentaria, Regresión logística binaria, Políticas públicas, Pandemic, Food security, Binary logistic regression, Public policy