La investigación: " Propuesta de una unidad de Vigilancia Tecnológica para facilitar el uso de la Información Científica en los docentes de la Facultad de Ciencias Farmacéuticas y Bioquímica en la Universidad Inca Garcilaso de la Vega", tuvo como propósito fundamental demostrar que la unidad de vigilancia tecnológica mejora el uso de la información científica en los docentes de la Facultad de Ciencias farmacéuticas y Bioquímica en la Universidad Inca Garcilaso de la Vega". La muestra estuvo conformada por 50 docentes , divididos en dos grupos de 25 cada grupo (control y experimental), se aplicó la técnica de la evaluación antes (pre test) y después (post test) de la experimentación. El instrumento fue validado mediante juicio de expertos y se le asigna el valor de aceptable; asimismo, mediante el alfa de Cronbach se determina que el instrumento es confiabl...

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...

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 ()...

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...

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...