Mostrando 1 - 6 Resultados de 6 Para Buscar 'Chinchay-Barragán, Carlos Enrique', tiempo de consulta: 0.21s Limitar resultados
1
tesis de maestría
El propósito de la investigación fue despertar interés en la Vigilancia Tecnológica e Inteligencia Competitiva y sirva a los funcionarios de hospitales como una herramienta para mejorar el desempeño organizacional. El objetivo del trabajo es determinar el efecto de un observatorio de Vigilancia Tecnológica sobre el desempeño organizacional del servicio de farmacia del Centro Médico Naval Cirujano Mayor Santiago Távara, conocido como Hospital Naval. Callao, 2016. Es un estudio de enfoque cuantitativo, de alcance correlacional de diseño cuasi experimental y de corte longitudinal. La población está constituida por 45 profesionales del área de farmacia del Centro Médico Naval Cirujano Mayor Santiago Távara y la muestra está constituida por 20 profesionales de farmacia de dicho servicio. Se realizó un pre test y después de la instalación del observatorio de vigilancia tecno...
2
tesis doctoral
La investigación tuvo como objetivo determinar la asociación entre la seguridad alimentaria y los determinantes de la salud en riesgo en hogares de escolares con índice de pobreza del distrito de Puerto Bermúdez, 2023. Es un estudio de diseño no experimental, de tipo correlacional y enfoque cuantitativo. La población estuvo constituida por 651 y una muestra de 242 jefes de hogares. El instrumento trabajado fue el Cuestionario Escala Latinoamericana y Caribeña de Seguridad Alimentaria (ELCSA) validada por la Organización de las Naciones Unidas para la Alimentación y Agricultura (FAO) y el cuestionario sociodemográfico y económico validado por juicio de expertos. Se encontró como resultados que el 48.30 % de los hogares se encuentran en inseguridad alimentaria severa, el 43% en nivel de inseguridad alimentaria moderada y el 8.70% en inseguridad alimentaria leve. La prueba de ch...
3
artículo
OBJECTIVE. DETERMINE WAS MATHEMATICALLY MODELED USING THE EXPRESSION N = M⁄(1 + Q × E−K×T), WHICH IS A PREDICTIVE EQUATION. USING THIS MODEL, THE NUMBER OF DEATHS DUE TO COVID-19 WORLDWIDE WAS ESTIMATED.DESIGN. CORRELATIONAL, PROSPECTIVE, PREDICTIVE AND TRANSVERSAL STUDY. PARTICIPANS. THE DATA ON DECEASED INDIVIDUALS DUE TO THE COVID-19 DISEASE UP TO NOVEMBER 5, 2022, WAS CONSIDERED. MAIN MEASUREMENT. THIS DATA WAS USED TO ANALYZE THE PANDEMIC DISPERSION, WHICH WAS DETERMINED TO EXHIBIT LOGISTIC SIGMOIDAL BEHAVIOR. BY DERIVING EQUATION 3, THE RATE OF DEATHS DUE TO COVID-19 WORLDWIDE WAS CALCULATED, OBTAINING THE PREDICTIVE MODEL REPRESENTED IN FIGURE 3.RESULTS. USING EQUATION (5), THE CRITICAL TIME TC = 447 DAYS AND THE MAXIMUM SPEED (FORMULA PRESENTED) MÁX = 1 525 028,553 PERSONS/DAY AND THE DATE WHEN THE GLOBAL DEATH RATE DUE TO COVID-19 REACHED ITS MAXIMUM WAS JULY 6, 2021. THE...
4
artículo
Objective. Determine was mathematically modeled using the expression=(1+×−×)⁄, which is a predictive equation. Using this model, the number of deaths due to COVID-19 worldwide was estimated.Design. Correlational, prospective, predictive and transversal study. Participans.The data on deceased individuals due to the COVID-19 disease up to November 5, 2022, was considered. Main measurement.This data was used to analyze the pandemic dispersion, which was determined to exhibit logistic sigmoidal behavior. By deriving Equation 3, the rate of deaths due to COVID-19 worldwide was calculated, obtaining the predictive model represented in Figure 3.Results. Using Equation (5), the critical time=447and the maximum speed (̂)á=1525028,553/and the date when the global death rate due to COVID-19 reached its maximum was July 6, 2021. The Pearson correlation coefficient between the elapsed time ()...
5
artículo
Describe the COVID-19 pandemic in Peru, carry out mathematical statistical modeling, determine the critical time, the speed with which the pandemic developed and validate the estimated data; have characterized this research; whose objective has been to model and analyze COVID-19 infections in Peru, and compare infected people and estimated infected people; assess the critical time in which the maximum speed of estimated infected people occurs and statistically validate the model. The data on COVID-19 infections until February 24, 2023 has been taken into account; determining that they describe a sigmoidal logistic dispersion; event that was mathematically modeled using the expression , which is a predictive logistic equation. With the predictive mathematical model, the number of people infected and their behavior of COVID-19 in Peru was estimated. Likewise, the speed of people infected w...
6
artículo
Monkeypox (mpox) is a virus of the same family as human smallpox, detected in tropical forest regions in May 2022 in the United Kingdom and subsequently in Latin America. The objective of the present investigation was to study, by means of mathematical models, the infectivity of Monkeypox in North America in epidemiological comparison with South America. Data on monkeypox infectivity in both North and South America between the beginning of June 2022 and the end of February 2023 have been taken into account. By performing the pandemic dispersion, it was determined that the mathematical model of estimation is: ; with which the number of people infected with monkeypox in both North and South America was estimated. The mathematical model for estimating the rate of infection with monkeypox in both North and South America was determined: . At the 5% significance level, the variances of the con...