El presente trabajo de investigación buscó determinar la relación entre la Violencia Familiar (físico, psicológico y sexual) en la Inteligencia Emocional de los niños y adolescentes Institucionalizados en el Instituto Nacional de Bienestar Infantil Familiar de la Ciudad de Lima - Metropolitana del Perú en función al sexo, grado de instrucción, motivo de ingreso y tiempo de permanencia en la Institución del INABIF. El método de investigación es Descriptivo Correlaciona! - Asociativo, donde el diseño de estudio es el Observacional o No Experimental, siendo el método de investigación el cuantitativo. La población existente en las casas hogares del Instituto Nacional de Bienestar Infantil Familiar son 205 adolescentes de 12 a 18 años de edad los que varían según los ingresos y egresos de la Institución en 12 centros de Lima Metropolitana, se toma como muestra censal a 205...

During pandemic times, difficulties and problems related to the health sector are evident as the number of patients coming to health centers is higher compared to normal situations. This increase in the number of patients is typical of the pandemic, due to the high level of contagion in the population. Health personnel have a higher risk of infection, due to their sharing the work of caring for positive patients, so the infection rate is much higher. Hence, it remains necessary to understand the behavior of infection of health personnel, in order to be prepared to deal with the care of patients. Accordingly, in this research, we present a method to estimate different scenarios of infection and assess the probability of occurrence, so we can estimate the infection rate of health personnel. We present a simulation of 21 possible scenarios with 100 workers and a minimum of 80% needed to gua...

During pandemic times, difficulties and problems related to the health sector are evident as the number of patients coming to health centers is higher compared to normal situations. This increase in the number of patients is typical of the pandemic, due to the high level of contagion in the population. Health personnel have a higher risk of infection, due to their sharing the work of caring for positive patients, so the infection rate is much higher. Hence, it remains necessary to understand the behavior of infection of health personnel, in order to be prepared to deal with the care of patients. Accordingly, in this research, we present a method to estimate different scenarios of infection and assess the probability of occurrence, so we can estimate the infection rate of health personnel. We present a simulation of 21 possible scenarios with 100 workers and a minimum of 80% needed to gua...