Competitive Intelligence in Health: An Analysis of the Big Data for Rescuing the Neglect of the Neglected Diseases on Last Century

Jorge Lima de Magalhães^{1, 2,} , Luc Quoniam³, Wanise Barroso^{1, 2} and Carla Silveira^{1, 2}

¹Fundação Oswaldo Cruz/Fiocruz – Instituto de Tecnologia em Fármacos (Farmanguinhos), RJ, Brazil

²CNPq Research Group in Knowledge Management and Prospecting Health, RJ, Brazil

³University Nove de Julho/UNINOVE, SP, Brazil, Professeur des Universités, Université du Sud Toulon-Var, France

Cite this paper:
Jorge Lima de Magalhães, Luc Quoniam, Wanise Barroso and Carla Silveira. Competitive Intelligence in Health: An Analysis of the Big Data for Rescuing the Neglect of the Neglected Diseases on Last Century. World Journal of Nutrition and Health. 2014; 2(3):39-47. doi: 10.12691/jnh-2-3-3

Abstract

This paper aims to demonstrate the growing amount of information’s data in the world. A case study on public health it was used taking as an example the neglected disease dengue. The globalization of markets in the XXI century have major changes in the knowledge era. Data information of this new generation provides numbers reach unprecedented in human history. In this sense, new forms of analysis have appeared in order to use the concept of information science that has long existed. With Big Data becomes pressing new approaches and treating in competitive intelligence. So, when using Web 2.0 tools its possible results that are more effective. In the field of public health is no different. To supporting the rescue of the theme "neglected" of the last century, there needs formation of multidisciplinary networks to fight against the issue. Therefore, it is essential combination new methods of analysis for decision support system due the Big Data era. Essential information is of great value to innovation and technological development for any country. Thus, through of the data mining in patents, curriculum database and scientific papers is can be shown the presence of Big Data on health. In this sense, results shows that approach using technology forecasting and consulting databases indexed such as PubMed, Web of Science and Lattes database are rescued a large volume of data, once made the correct mining of them it is possible to get essential data to aid in decision making.

Keywords:
Big data competitive intelligence science information health public dengue

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