Data and social network analysis on Malaria

In order to understand the existent and in formation relationships that might surface from scientific publications it is necessary to use methods for data and network analysis, besides the concepts of information flow and knowledge creation within organizations. The aim of this work was to show the application of tools and methods for data and network analysis and how those methods can bring forward proposals to improve the understanding of a specific disease, Malaria, within the scientific publications. The study of relational data retrieved from different databases might be elucidating in an environment, health system, which happens to be quite complex due to its many elements involved. How these elements interact within each other in order to fulfill the need to serve the population needs to be understood. The study of scientific publications is just one of the areas that might help decision makers have a better grasp on how to deal and focus on the needed areas.