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The quality of OpenStreetMap food-related point-of-interest data for use in epidemiological research.
Pinho, Maria Gabriela M; Flueckiger, Benjamin; Valentin, Antonia; Kasdagli, Maria-Iosifina; Kyriakou, Kalliopi; Lakerveld, Jeroen; Mackenbach, Joreintje D; Beulens, Joline W J; de Hoogh, Kees.
Afiliación
  • Pinho MGM; Copernicus Institute of Sustainable Development, Department Environmental Sciences, Utrecht University, Utrecht, the Netherlands; Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands; Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU Uni
  • Flueckiger B; Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
  • Valentin A; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
  • Kasdagli MI; Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
  • Kyriakou K; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, the Netherlands.
  • Lakerveld J; Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands; Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands.
  • Mackenbach JD; Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands; Upstream Team, www.upstreamteam.nl, Amsterdam UMC, VU University Amsterdam, Amsterdam, the Netherlands.
  • Beulens JWJ; Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands; Swiss Tropical and Public Health Institute, Allschwil, Switzerland; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
  • de Hoogh K; Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
Health Place ; 83: 103075, 2023 09.
Article en En | MEDLINE | ID: mdl-37454481
We assessed the quality of food-related OpenStreetMap (OSM) data in urban areas of five European countries. We calculated agreement statistics between point-of-interests (POIs) from OSM and from Google Street View (GSV) in five European regions. We furthermore assessed correlations between exposure measures (distance and counts) from OSM data and administrative data from local data sources on food environment data in three European countries. Agreement between POI data in OSM compared to GSV was poor, but correlations were moderate to high between exposures from OSM and local data sources. OSM data downloaded in 2020 seems to be an acceptable source of data for generating count-based food exposure measures for research in selected European regions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios Epidemiológicos Tipo de estudio: Observational_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Health Place Asunto de la revista: EPIDEMIOLOGIA / SAUDE PUBLICA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios Epidemiológicos Tipo de estudio: Observational_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Health Place Asunto de la revista: EPIDEMIOLOGIA / SAUDE PUBLICA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido