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An Approach to Information Management as a Subsidy of Global Health Actions: A Case Study of Big Data in Health for Dengue, Zika, and Chikungunya

An Approach to Information Management as a Subsidy of Global Health Actions: A Case Study of Big Data in Health for Dengue, Zika, and Chikungunya

Carla Silveira, Marcos Emiliano Lima Alves Hir, Henrique Koch Chaves
Copyright: © 2022 |Pages: 16
ISBN13: 9781799880110|ISBN10: 1799880117|EISBN13: 9781799880127
DOI: 10.4018/978-1-7998-8011-0.ch012
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MLA

Silveira, Carla, et al. "An Approach to Information Management as a Subsidy of Global Health Actions: A Case Study of Big Data in Health for Dengue, Zika, and Chikungunya." Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context, edited by Jorge Lima de Magalhães, et al., IGI Global, 2022, pp. 219-234. https://doi.org/10.4018/978-1-7998-8011-0.ch012

APA

Silveira, C., Hir, M. E., & Chaves, H. K. (2022). An Approach to Information Management as a Subsidy of Global Health Actions: A Case Study of Big Data in Health for Dengue, Zika, and Chikungunya. In J. Lima de Magalhães, Z. Hartz, G. Jamil, H. Silveira, & L. Jamil (Eds.), Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context (pp. 219-234). IGI Global. https://doi.org/10.4018/978-1-7998-8011-0.ch012

Chicago

Silveira, Carla, Marcos Emiliano Lima Alves Hir, and Henrique Koch Chaves. "An Approach to Information Management as a Subsidy of Global Health Actions: A Case Study of Big Data in Health for Dengue, Zika, and Chikungunya." In Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context, edited by Jorge Lima de Magalhães, et al., 219-234. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8011-0.ch012

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Abstract

In the information age, it is urgent to work in a collaborative network, as well as the identification of researchers in specific areas in the globalized world. In this time, half of the world's population does not have access to essential health services, and more than one billion are threatened by neglected diseases. Information management helps in the identifying, extracting, and treating. In Brazil, the Lattes platform is the main curriculum repository for scientists and professionals in the different areas of scientific knowledge. After processing, 105 specialists were identified. Scientific articles published on Dengue, Zika virus, and Chikungunya are 11,743. The computational tool ScriptLattes proved to be efficient to extract, identify, and recover data from the curricula present in the Lattes database, contributing to the management of scientific knowledge in public health. Thus, Dengue, Zika, and Chikungunya infection data extracted from the platform generate information to assist in the knowledge management and decision makers for public health.

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