In the present paper, a computational model is performed by Cellular Automata (Cell-DEVS) that describes the transmission dynamics of Varicella in a closed group of people where the disease can be spread. From the perspective of mathematical epidemiology we have the mathematical model SEIR of W.O. Kermack and A.G. McKendrick that represent the dynamics of the epidemic, in our case Varicela, where the computational simulations are performed both by the Numerical Methods and the Cellular Automata to analyze the development of the disease.

Mathematics from its beginnings has tried to describe the reality in which one lives, over time has been supporting the different sciences of which with this formal and abstract support has been greatly strengthened over time generating mathematical models, formulas, expressions that Solve real problems as far as you can. For how much, that the economy where it is studied and analyzes the different phenomena that involve the dynamics of generation of goods and resources, services and processes in the market, reason why the economy has needed of the mathematics to formalize formally with formal expressions And abstract but with interpretations applied to reality.

In this research article, the aim is to collect the perception of scientific research in the academic education of university students, which is the door to continuous scientific research that must be carried out in order to seek an innovation of scientific and technical knowledge and methods and perspectives that relate science and society. The scientific research reflected in scientific articles from undergraduate training, and with more emphasis on postgraduate training should be the academic support for the development of the country. Therefore, how important is the scientific research that must be done to achieve a better education in society. JEL Classification Codes: I21.

The academic selection of university teachers has been the basis of the generation of knowledge in the development of scientific development by the development of research among professors and students as a whole. With this, the university education should focus and dedicate the interaction between the scientific, humanistic and social vision of university studies. In recent years he has focused on the prospect of a university education focused on constant research that is related to university students for the generation of knowledge at a scientific and academic level. Therefore, the growth of educational quality is linked to the generation of knowledge and research projects to increase the level of higher education in the country.

In the present work, a Basic Model SI with Vital Dynamics Structured by Gender developed by the Ordinary Differential Equations (Transmission of contagion is instantaneous), and also developed in the DelayDifferential Equations (Transmission of contagion occurs after a certain period of time), where the Local and Asymptotic Stability Theorem is proposed The Free of Infection point for both models, respectively.

In the present research article, a computational model is developed by means of cellular automatas (Cell-DEVS) that describes the transmission dynamics of HIV / AIDS in a closed group of heterosexual people who are sexually active. From the perspective of the mathematical epidemiology we have the mathematical model SI of W. O. Kermack and A. G. McKendrick that represents the dynamics of the sexually transmitted disease by means of the ordinary differential equations. Wherecomputational simulations will be carried out both by numerical methods and cellular automatas to analyze the evolution of the disease over time, and how the results obtained can be interpreted to generate adequate intervention activities as part of public politics.

In the present work, the existence of Uniformly Bound Solutions of a SI Mathematical Model with vital dynamics, with logistic growth for the Susceptibles, developed by Delay Differential Equations is constructed, and the behavior of the solutions will be studied (qualitative analysis) for the Infection-Free Point where the necessary conditions for its asymptotic stability will be determined; and furthermore, that the Uniformly Bounded Solution of the Model tends to the steady state of the Infection-Free Point. In addition, it will be simulated computationally (approximate solutions) with initial populations and epidemiological rates of the model. The simulation will complement the qualitative analysis (behavior of solutions) to conclude trends of behaviors of the transmission of the disease overtime.

The research paper presents a computational model by Cellular Automata (Cell-DEVS) applied to the transmission of Dengue disease, spread by mosquitoes to a susceptible population. This model will have a multilevel approach to consider exogenous interactions such as temperature. This will allow to be able to visualize the critical points where the mosquito reproduction is much greater, and thus carry out control strategies.

The present study proposes the use of a segmented SIR-D mathematical model to predict the evolution of epidemiological populations of interest in the COVID-19 pandemic (Susceptible [S], Infected [I], Recovered [R] and dead [D]), information that is often key to guiding decision-making in the fight against epidemics. In order to obtain a better model calibration and a lower prediction error in the short term, we performed the model segmentation in 6 stages of periods of 14 days each. At each stage, the epidemiological  that define the system of equations are empirically estimated by linear regression of the epidemiological surveillance data that the Peruvian Ministry of Health collects and reports daily. This strategy showed better model calibration compared to an unsegmented SIR-D model.

En el presente trabajo, se realiza un modelo computacional mediante los Autómatas Celulares (Cell-DEVS) que describa la dinámica de transmisión de la Varicela en un grupo cerrado de personas donde se pueda propagar la enfermedad. Desde la perspectiva de la epidemiología matemática se tiene el modelo matemático SEIR de W. O. Kermack y A. G. McKendrick que representa la dinámica de la epidemia, en nuestro caso la Varicela, donde se realizará las simulaciones computacionales tanto por los Métodos Numéricos como los Autómatas Celulares para analizar el desarrollo de la enfermedad.

La matemática desde sus inicios ha intentado describir la realidad en cual se vive, a través del tiempo ha ido apoyando a las diferentes ciencias las cuales mediante este soporte formal y abstracto ha sido enormemente fortalecido con el tiempo generando modelos matemáticos, formulas, expresiones que puedan resolver problemas reales en la medida que se pueda. Por mientras, que la economía donde se estudia y analiza los diferentes fenómenos que involucran la dinámica de generación de bienes y recursos, servicios y procesos en el mercado, por lo cual la economía ha necesitado de la matemática para formalizar de manera lógica con expresiones formales y abstractas pero con interpretaciones aplicadas a la realidad.

En presente artículo de investigación intenta recolectar la percepción que se tiene de la investigación científica en la formación académica de los estudiantes universitarios, la cual es la puerta hacia la investigación científica continua que se debe realizar para buscar una innovación de conocimientos y métodos científicos, técnicas y perspectivas que relacionen la ciencia y la sociedad. La investigación científica reflejada en artículos científicos desde la formación de pregrado, y con más énfasis en la formación de posgrado deben ser el sustento académico para el desarrollo del país. Por lo cual, cuán importante es la investigación científica que se debe realizar para lograr una mejor educación en la sociedad. Códigos JEL: I21.

La formación académica de los docentes universitarios ha sido la base de la generación de conocimientos en búsqueda del desarrollo científico mediante el desarrollo de investigaciones entre los profesores y los estudiantes en conjunto. Con lo cual, la formación universitaria debe enfocar y dedicar la interacción entre la visión científica, humanística y social de los estudios universitarios. En los últimos años se ha centrado la perspectiva de realizar una formación universitaria focalizada en la investigación constante que se relacione los estudiantes universitarios para la generación de conocimientos a un nivel científico y académico. Por lo cual, el crecimiento de la calidad educativa se ve vinculada con la generación de conocimientos y proyectos de investigación para incrementar el nivel de la educación superior del país.

In the present work, a perturbation of the model presented by Feng, Castillo-Chávez and Capurro (2000) will be carried out, where the dynamics of tuberculosis transmission will be described, where recovery from the disease will be incorporated. The model will include four epidemiological populations: Susceptible (S), Exposed (E), Infected (I) and Infected with treatment (T). This will allow to know how the interaction that exists with the infected can cause the permanence of the individuals with the disease. For which, its qualitative behavior will be analyzed as its evolution in time of the epidemiological populations for the model by the ordinary differential equations (ODE) and its perturbation to the dalay differential equations (DDE). In this way, it will allow us to know how the parameters influence the spread of the disease at the point free of infection and with a computational ...

The process of Teaching and Learning in times of Covid-19 brought experiences between teachers and students, seeking to improve with some teaching method to obtain satisfaction in their learning, the objective of this research is to validate the instrument of measurement of Teaching and Learning Experience Questionnaire (ETLQ) in the Peruvian context with university students, This instrument consists of three parts, the Teaching and Learning Environment which consists of 19 questions, the Student Learning Approach which consists of 9 questions and the Critical Thinking with 4 questions, each question is composed of 5-point Likert-type scales (1 point = "Strongly disagree" and 5 points = "Strongly agree". A total of 2027 university students participated throughout Peru, including students from national and private universities. Cronbach's Alpha =0.957 with 32 numbers of items was valid fo...

In the present work, a Basic Model SI with Vital Dynamics Structured by Gender developed by the Ordinary Differential Equations (Transmission of contagion is instantaneous), and also developed in the DelayDifferential Equations (Transmission of contagion occurs after a certain period of time), where the Local and Asymptotic Stability Theorem is proposed The Free of Infection point for both models, respectively.

In the present research article, a computational model is developed by means of cellular automatas (Cell-DEVS) that describes the transmission dynamics of HIV / AIDS in a closed group of heterosexual people who are sexually active. From the perspective of the mathematical epidemiology we have the mathematical model SI of W. O. Kermack and A. G. McKendrick that represents the dynamics of the sexually transmitted disease by means of the ordinary differential equations. Wherecomputational simulations will be carried out both by numerical methods and cellular automatas to analyze the evolution of the disease over time, and how the results obtained can be interpreted to generate adequate intervention activities as part of public politics.

In the present work, the existence of Uniformly Bound Solutions of a SI Mathematical Model with vital dynamics, with logistic growth for the Susceptibles, developed by Delay Differential Equations is constructed, and the behavior of the solutions will be studied (qualitative analysis) for the Infection-Free Point where the necessary conditions for its asymptotic stability will be determined; and furthermore, that the Uniformly Bounded Solution of the Model tends to the steady state of the Infection-Free Point. In addition, it will be simulated computationally (approximate solutions) with initial populations and epidemiological rates of the model. The simulation will complement the qualitative analysis (behavior of solutions) to conclude trends of behaviors of the transmission of the disease overtime.

The research paper presents a computational model by Cellular Automata (Cell-DEVS) applied to the transmission of Dengue disease, spread by mosquitoes to a susceptible population. This model will have a multilevel approach to consider exogenous interactions such as temperature. This will allow to be able to visualize the critical points where the mosquito reproduction is much greater, and thus carry out control strategies.

The present study proposes the use of a segmented SIR-D mathematical model to predict the evolution of epidemiological populations of interest in the COVID-19 pandemic (Susceptible [S], Infected [I], Recovered [R] and dead [D]), information that is often key to guiding decision-making in the fight against epidemics. In order to obtain a better model calibration and a lower prediction error in the short term, we performed the model segmentation in 6 stages of periods of 14 days each. At each stage, the epidemiological  that define the system of equations are empirically estimated by linear regression of the epidemiological surveillance data that the Peruvian Ministry of Health collects and reports daily. This strategy showed better model calibration compared to an unsegmented SIR-D model.