Improving the mapping of leisure-time physical activity inequities: the use of artificial intelligence to advance estimates of small-areas in Brazil.

Abstract

Authors

• Thania Mara Teixeira Rezende Faria
  Postgraduate Program of Public Health, School of Preventive Medicine, Universidade Federal de Minas Gerais, Brazil; School of Public Health, The University of Queensland, Australia. Electronic address: thaniamfaria@gmail.com.
• Marisa Affonso Vasconcelos
  Department of Computer Science, Universidade Federal de Minas Gerais, Brazil. Electronic address: marisavasconcelos@dcc.ufmg.br.
• Regina Tomie Ivata Bernal
  Postgraduate Program of Public Health, Universidade Federal de Minas Gerais, Brazil. Electronic address: reginabernal@terra.com.br.
• Gregore Iven Mielke
  School of Public Health, The University of Queensland, Australia. Electronic address: g.ivenmielke@uq.edu.au.
• Juliana Bottoni de Souza
  Postgraduate Program of Nursing, Federal University of Minas Gerais, Brazil. Electronic address: juliana_bottoni@yahoo.com.br.
• Crizian Saar Gomes
  Postgraduate Program of Public Health, Universidade Federal de Minas Gerais, Brazil. Electronic address: criziansaar@gmail.com.
• Marcos André Gonçalves
  Computer Science Department, Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, Belo Horizonte, 6627, Brazil.
• Jussara Marques de Almeida
  School of Public Health, The University of Queensland, Australia. Electronic address: jussaramarquesdealmeida@gmail.com.
• Deborah Carvalho Malta
  Postgraduate Program of Public Health, School of Preventive Medicine, Universidade Federal de Minas Gerais, Brazil; Department of Maternal and Child Care and Public Health, Universidade Federal de Minas Gerais, Brazil. Electronic address: dcmalta@uol.com.br.

Keywords

External Resources