El presente trabajo de tesis de grado que titula: La demanda informativa de la gente sobre la gripe AH1N1 en la ciudad de La Paz, los imaginarios sobre la pandemia y su tratamiento informativo. Tiene el objetivo de: Establecer una aproximación a las demandas informativas de la gente a partir de la conformación de los imaginarios colectivos sobre la temática de la gripe AH1N1 en la ciudad de La Paz. Sus objetivos específicos son los siguientes: Recopilar relatos ciudadanos referidos a la experiencia de la gripe AH1N1 en la ciudad de La Paz.Identificar puntos de vista respecto a la experiencia de la gripe AH1N1 en la ciudad de La Paz. Identificar las medidas preventivas que la población adoptó en contra del mal, desde el relato ciudadano.

Este trabajo de investigación trata sobre cómo informó la prensa peruana durante los primeros meses de la propagación de la pandemia de la gripe AH1N1 en el año 2009. Analiza la construcción de la verdad informativa en diferentes portadas de los diarios oficiales y populares y pone en evidencia los elementos desinformativos y sensacionalistas que aparecieron. El fin de esta investigación es explicar el comportamiento de la prensa escrita en épocas de crisis sanitarias. / Tesis

abstract: Mathematical modeling of infectious diseases can help public health officials to make decisions related to the mitigation of epidemic outbreaks. However, over or under estimations of the morbidity of any infectious disease can be problematic. Therefore, public health officials can always make use of better models to study the potential implication of their decisions and strategies prior to their implementation. Previous work focuses on the mechanisms underlying the different epidemic waves observed in Mexico during the novel swine origin influenza H1N1 pandemic of 2009 and showed extensions of classical models in epidemiology by adding temporal variations in different parameters that are likely to change during the time course of an epidemic, such as, the influence of media, social distancing, school closures, and how vaccination policies may affect different aspects of the dynamics of an epidemic. This current work further examines the influence of different factors considering the randomness of events by adding stochastic processes to meta-population models. I present three different approaches to compare different stochastic methods by considering discrete and continuous time. For the continuous time stochastic modeling approach I consider the continuous-time Markov chain process using forward Kolmogorov equations, for the discrete time stochastic modeling I consider stochastic differential equations using Wiener's increment and Poisson point increments, and also I consider the discrete-time Markov chain process. These first two stochastic modeling approaches will be presented in a one city and two city epidemic models using, as a base, our deterministic model. The last one will be discussed briefly on a one city SIS and SIR-type model. / Dissertation/Thesis / Ph.D. Applied Mathematics for the Life and Social Sciences 2014