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tesis de grado
Objetivo. Valorar el nivel de conocimientos sobre el dengue, signos de alarma y prevención en pobladores con la finalidad de mejorar las medidas preventivas y la identificación prematura de la enfermedad. Metodología. Estudio cuantitativo, descriptivo transversal. Diseño no experimental. El estudio se realizó en 618 pobladores del distrito de José Leonardo Ortiz – Chiclayo en el 2018 en adultos de uno u otro sexo. Seleccionados mediante muestreo probabilístico aleatorio por conglomerados multietápico. Se utilizó un instrumento que evalúa los conocimientos globales comprendidos por conocimientos generales, signos de alarma, y prevención. Se utilizó la prueba Chi cuadrado para asociar nivel de conocimientos con características sociodemográficas. Resultados. El nivel de conocimientos sobre el dengue es bajo en el 76,2% de pobladores. Sobre el nivel de conocimientos generales...
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tesis de grado
Displasia broncopulmonar es una patología respiratoria secuelar con relación directa con a prematuridad y bajo peso, con asociación estrecha a la duración de Ventilación mecánica y uso prolongado de oxigenoterapia. Se ha vinculado a la displasia broncopulmonar, con múltiples factores asociados, aumentando el riesgo, sin poder determinar la verdadera multifactorialidad de la misma, intentando orientar mecanismos fisiopatológicos inespecíficos, y por tal motivo no existe aún consenso aceptado universalmente para su tratamiento, llegando a recomendaciones. Este trabajo se elabora mediante el análisis, observación y lectura, clasificación de 168 casos y controles, con una muestra de casos y controles, completando con 84 de ellos con diagnóstico confirmado de Displasia broncopulmonar, En la estructura del estudio, los FACTORES DE REISGO, se sistematiza con variables independient...
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artículo
“Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the ...
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artículo
“Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the ...
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artículo
Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the “...
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