Covid Data Analytics Repository: An interdisciplinary look into the COVID-19 pandemic in Brazil

Authors

  • Ramon A. S. Franco Universidade Federal de Minas Gerais / Universidade Federal do Oeste da Bahia
  • Pedro Loures Alzamora Universidade Federal de Minas Gerais
  • Janaína Guiginski Universidade Federal de Minas Gerais
  • Evandro L. T. P. Cunha Universidade Federal de Minas Gerais
  • Tereza Bernardes Universidade Federal de Minas Gerais
  • Juan F. Galindo Univesidade Estadual de Campinas
  • Luana Passos Universidade Federal de Minas Gerais / Universidade Federal do Oeste da Bahia
  • Raquel Schneider Universidade Federal de Minas Gerais
  • Bruno Chagas Universidade Federal de Minas Gerais
  • Kícila Ferreguetti Universidade Federal de Minas Gerais
  • Luísa Cardoso Universidade Federal de Minas Gerais
  • Pedro Moreira Universidade Federal de Minas Gerais
  • Wallace Pereira Universidade Federal de Minas Gerais
  • Ana Paula Couto da Silva Universidade Federal de Minas Gerais
  • Wagner Meira Jr. Universidade Federal de Minas Gerais

DOI:

https://doi.org/10.5753/jidm.2022.2266

Keywords:

coronavirus, datasets, digital health, social networks

Abstract

This article describes the construction and deployment of the Covid Data Analytics Repository, a source for interdisciplinary studies about the impact of the COVID-19 pandemic in Brazil. We collected different types of data from official (IBGE, DATASUS) and non-official (Brasil.IO) sources, online social networks (Instagram, Twitter), and from a search engine analysis tool (Google Trends). We used these data to perform investigations aimed to understand the impacts of COVID-19 in the country, from economics to social behavior. At the moment of publication of this article, our repository contains 1,508 documents, classified into two main types: (i) databases and tables downloaded from the aforementioned sources; and (ii) papers, reports, maps and graphs resulting from the analyses that we performed. As a means to allow reproducibility and foster follow-up studies, we released our repository for public use.

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Author Biography

Evandro L. T. P. Cunha, Universidade Federal de Minas Gerais

Masters in progress at Federal University of Minas Gerais, in the field of Computational Sciences. Undergraduate at Letters/Linguistics at the same institution. Has experience in Linguistics, acting on the following subjects: Computational Linguistics, Quantitative Sociolinguistics, Romance Philology, Textual Criticism, Complex Networks and OSN (Online Social Networks).

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Published

2022-08-15

How to Cite

A. S. Franco, R., Loures Alzamora, P., Guiginski, J., L. T. P. Cunha, E., Bernardes, T., Galindo, J. F., Passos, L., Schneider, R., Chagas, B., Ferreguetti, K., Cardoso, L., Moreira, P., Pereira, W., Couto da Silva, A. P., & Meira Jr., W. (2022). Covid Data Analytics Repository: An interdisciplinary look into the COVID-19 pandemic in Brazil. Journal of Information and Data Management, 13(1). https://doi.org/10.5753/jidm.2022.2266

Issue

Vol. 13 No. 1 (2022)

Section

Dataset Showcase Workshop 2021 - Extended Papers