@unfv.edu.pe
DOCENTE INVESTIGADOR PRINCIPAL - DEPARTAMENTO DE ECONOMÍA / FACULTAD DE CIENCIAS ECONÓMICAS
UNIVERSIDAD NACIONAL FEDERICO VILLARREAL
Reforma y modernización del Estado
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
The objective of this study was to determine the impact of monitoring the HIV viral load in the Laboratory of the Sergio E. Bernales National Hospital during the period 2019 to 2021. A descriptive, quantitative, observational, retrospective, comparative, and analytical study was carried out. We worked with 490 patients who had follow-up viral load. The findings revealed a predominance of males with 64% of HIV cases and 36% of females. During the monitoring period, 14.9% of the patients were admitted as new HIV cases, while 8% started antiretroviral treatment (ART). Regarding the viral load results, 14.9% of the patients had a viral load greater than 1000 copies/ml, 5 patients had between 200 and 1000 cp/ml. 70 patients had a viral load greater than 40 to ≤ 1000 cp/mL, 173 patients had a viral load less than 40 cp/mL, and 174 patients had an undetectable viral load. At the end of the monitoring study, a statistical significance of 0.00 and a Pearson correlation coefficient of 0.450 were found, indicating a weak to moderate correlation between the final viral load and the monitoring result. These findings highlight the crucial importance of timely monitoring of viral load in patients with HIV. It was evidenced that 38.3% of the patients who had adequate viral load follow-up achieved viral suppression, 43.5% maintained viral suppression, 14.9% experienced virological failure, and 1% presented resistant viremia.
Yoni Magali Flores-Sotelo William Sebastián Maita-Cruz Maita-Cruz
Grupo Compas
El uso de inteligencia artificial ha superado el enfoque académico, y transciende por sus beneficios, que están orientados al desarrollo de la gestión pública. La presente investigación se realizó con el propósito de analizar la inteligencia artificial en la gestión pública en tiempos de Covid-19, específicamente se abordó la relevancia de las oportunidades, evaluación del impacto y el gran potencial ofrecido por la inteligencia artificial. La metodología que se utilizó refiere a una revisión documental en las siguientes bases científicas Scopus, Taylor & Francis, Wos, Ebsco y Scielo, lo cual proporciona un amplio e importante panorama general de la inteligencia artificial y su impacto sobre la gestión pública en tiempos de pandemia. Los resultados marcan ciertas claves para diseñar políticas y estrategias de uso de la inteligencia artificial en diferentes contextos de la gestión pública, mostrando las bondades y desafíos. Se concluye que la llegada de avances tecnológicos devela el alcance de la tecnología a la gestión pública, una diversidad de medios o instrumentos para su eficiencia e impacto colocan en funcionamiento, dando apoyo en el desarrollo de sistemas de control que otorgan legalidad y generan procesos democratizadores para la dirección pública.Alternate :The use of artificial intelligence has surpassed the academic approach, and transcends due to its benefits, which are oriented to the development of public management. This research was carried out with the purpose of analyzing artificial intelligence in public management in times of Covid-19, specifically addressing the relevance of opportunities, impact assessment and the great potential offered by artificial intelligence. The methodology that was used refers to a documentary review in the following scientific bases Scopus, Taylor & Francis, Wos, Ebsco and Scielo, which provides a broad and important overview of artificial intelligence and its impact on public management in times of crisis. pandemic. The results mark certain keys to design policies and strategies for the use of artificial intelligence in different contexts of public management, showing the benefits and challenges. It is concluded that the arrival of technological advances reveals the scope of technology to public management, a diversity of means or instruments for its efficiency and impact put into operation, giving support in the development of control systems that grant legality and generate democratizing processes. for public address.
Jessica Paola Palacios Garay, Willian Sebastián Flores-Sotelo, Rafael Alan Castillo-Sáenz, Yolanda Maribel Mercedes Chipana-Fernández, Gladys Beatriz García Quispe, and José Joaquín Diaz-Pérez
Bonfring
The aim of this article is to know the attitude of university students towards e-learning having age and gender as sociodemographic variables. It describes important aspects about virtual education, connectivism, e-learning model and factors about attitude towards e-learning, b-learning and its advantages. In this basic, descriptive level study, the scale of attitudes towards e-learning proposed by Mehra and Omidian (2012) consisting of 92 items (distributed on a dichotomous yes/no scale) was used, with a reliability, through Kr-20, of 0.995. The sample comprised a total of 330 medical students from a private university from the first to the fifth cycle of the degree. It was demonstrated that e-learning is a tool at the service of the teaching-learning processes that seeks interaction between the teacher and the student, developing cognitive, collaborative and self-regulatory skills in the university student. The conclusions of the research were that, regarding the sex of the students, 38.5% of the women perceived an unfavorable level and 34.2% of the men, a favorable level of attitude towards e-learning. As for the intervening variable age, 23% of the students fewer than 21 years of age perceived an unfavorable level of attitude towards e-learning. In the ease of use dimension, 44.4% of the students perceived an unfavorable level. Finally, 40.3% perceived an unfavorable level; 34.8% perceived a fair level and 24.8% a favorable level of attitude towards e-learning.
José Luis Valdez Asto, Luciano Pérez Guevara, Yrene Cecilia Uribe-Hernández, Willian Sebastián Flores-Sotelo, José Antonio Arévalo-tuesta, and Rosales León Tomas-Francisco
Bonfring
The present research aimed to establish the association between personal factors (age, sex, hours connected and school of origin) and the digital competencies of university students, which have been originated and developed with a greater degree of intensity during the pandemic, generating as a consequence the need for distance education. The study was basic, explanatory, and quantitative, with a non-experimental and cross-sectional design. The sample consisted of 1242 students of the Faculty of Medicine from the tenth to the fourth cycle: 658 males (53.0%) and 584 females (47.0%). A probabilistic sampling by strata was performed and the questionnaire of Gutiérrez et al. (2017), an instrument for the evaluation of the digital competence of the university student with a reliability of 0.997, was used. It was concluded that personal factors are associated with digital competencies in students of a private university because the personal factors of sex, age, school of origin and hours connected to social networks presented p < 0.05. Regarding descriptive results, 52.3% of male students presented ineffective level. Of students aged 22 years or younger, 58.2% presented an ineffective level. It was observed that 57.7% of the students who come from private schools presented an ineffective level, and 57.1% of the students who connect for 3 hours or less presented an ineffective level.