| Autor: |
de Menezes MC; National School of Public Health, Fiocruz-RJ, Rua Leopoldo Bulhões, 1480- Manguinhos, Rio de Janeiro, 21041-210, Brazil. marysnut@gmail.com., de Matos VP; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fiocruz-RJ, Av. Brasil, 4.365 - Manguinhos, Rio de Janeiro, 21040-900, Brazil., de Pina MF; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fiocruz-RJ, Av. Brasil, 4.365 - Manguinhos, Rio de Janeiro, 21040-900, Brazil., de Lima Costa BV; Department of Nutrition, Universidade Federal de Minas Gerais, Av. Alfredo Balena 190, Belo Horizonte, MG, 30130-100, Brazil., Mendes LL; Department of Nutrition, Universidade Federal de Minas Gerais, Av. Alfredo Balena 190, Belo Horizonte, MG, 30130-100, Brazil., Pessoa MC; Department of Nutrition, Universidade Federal de Minas Gerais, Av. Alfredo Balena 190, Belo Horizonte, MG, 30130-100, Brazil., de Souza-Junior PRB; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fiocruz-RJ, Av. Brasil, 4.365 - Manguinhos, Rio de Janeiro, 21040-900, Brazil., de Lima Friche AA; Faculdade de Medicina, Universidade Federal de Minas Gerais. Observatório de Saúde Urbana, Av. Alfredo Balena 190, Belo Horizonte, MG, 30130-100, Brazil., Caiaffa WT; Faculdade de Medicina, Universidade Federal de Minas Gerais. Observatório de Saúde Urbana, Av. Alfredo Balena 190, Belo Horizonte, MG, 30130-100, Brazil., de Oliveira Cardoso L; National School of Public Health, Fiocruz-RJ, Rua Leopoldo Bulhões, 1480- Manguinhos, Rio de Janeiro, 21041-210, Brazil. |
| Abstrakt: |
To overcome the challenge of obtaining accurate data on community food retail, we developed an innovative tool to automatically capture food retail data from Google Earth (GE). The proposed method is relevant to non-commercial use or scholarly purposes. We aimed to test the validity of web sources data for the assessment of community food retail environment by comparison to ground-truth observations (gold standard). A secondary aim was to test whether validity differs by type of food outlet and socioeconomic status (SES). The study area included a sample of 300 census tracts stratified by SES in two of the largest cities in Brazil, Rio de Janeiro and Belo Horizonte. The GE web service was used to develop a tool for automatic acquisition of food retail data through the generation of a regular grid of points. To test its validity, this data was compared with the ground-truth data. Compared to the 856 outlets identified in 285 census tracts by the ground-truth method, the GE interface identified 731 outlets. In both cities, the GE interface scored moderate to excellent compared to the ground-truth data across all of the validity measures: sensitivity, specificity, positive predictive value, negative predictive value and accuracy (ranging from 66.3 to 100%). The validity did not differ by SES strata. Supermarkets, convenience stores and restaurants yielded better results than other store types. To our knowledge, this research is the first to investigate using GE as a tool to capture community food retail data. Our results suggest that the GE interface could be used to measure the community food environment. Validity was satisfactory for different SES areas and types of outlets. |
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