Journal of Data and Information Science ›› 2020, Vol. 5 ›› Issue (4): 137-146.doi: 10.2478/jdis-2020-0038

• Research Paper • Previous Articles     Next Articles

Scientometric Analysis of Research Output from Brazil in Response to the Zika Crisis Using e-Lattes

Ricardo Barros Sampaio1,(), Antônio de Abreu Batista-Jr2, Bruno Santos Ferreira3, Mauricio L. Barreto4, Jesús P. Mena-Chalco5   

  1. 1Regional Board of Brasília Fiocruz, Distrito Federal, Brazil
    2Department of Informatics Federal University of Maranhão, São Luís, MA, Brazil
    3Department of Teaching and Learning Studies, Laval University, Québec, Canada
    4Center of Integrated Data and Knowledge about Health (CIDACS), Salvador, Brazil
    5Center for Mathematics, Computation and Cognition, Federal University of ABC Santo André, SP, Brazil;
  • Received:2020-02-01 Revised:2020-06-21 Accepted:2020-08-06 Online:2020-09-20 Published:2020-11-20
  • Contact: Ricardo Barros Sampaio


Purpose: This paper aims to test the use of e-Lattes to map the Brazilian scientific output in a recent research health subject: Zika Virus.

Design/methodology/approach: From a set of Lattes CVs of Zika researchers registered on the Lattes Platform, we used the e-Lattes to map the Brazilian scientific response to the Zika crisis.

Findings: Brazilian science articulated quickly during the public health emergency of international concern (PHEIC) due to the creation of mechanisms to streamline funding of scientific research.

Research limitations: We did not assess any dimension of research quality, including the scientific impact and societal value.

Practical implications: e-Lattes can provide useful guidelines for different stakeholders in research groups from Lattes CVs of members.

Originality/value: The information included in Lattes CVs permits us to assess science from a broader perspective taking into account not only scientific research production but also the training of human resources and scientific collaboration.

Key words: e-Lattes, Zika virus, Lattes Platform, Brazilian research output, Brazilian science