The quality of OpenStreetMap food-related point-of-interest data for use in epidemiological research

被引:2
|
作者
Pinho, Maria Gabriela M. [1 ,2 ,3 ]
Flueckiger, Benjamin [4 ,5 ]
Valentin, Antonia [6 ]
Kasdagli, Maria-Iosifina [7 ]
Kyriakou, Kalliopi [8 ]
Lakerveld, Jeroen [2 ,3 ]
Mackenbach, Joreintje D. [2 ,3 ]
Beulens, Joline W. J. [2 ,4 ,9 ]
de Hoogh, Kees [4 ,5 ]
机构
[1] Univ Utrecht, Copernicus Inst Sustainable Dev, Dept Environm Sci, Utrecht, Netherlands
[2] Locat Vrije Univ Amsterdam, Amsterdam UMC, Epidemiol & Data Sci, Amsterdam, Netherlands
[3] Vrije Univ Amsterdam, Upstream Team, Amsterdam UMC, Amsterdam, Netherlands
[4] Swiss Trop & Publ Hlth Inst, Allschwil, Switzerland
[5] Univ Basel, Basel, Switzerland
[6] Barcelona Inst Global Hlth ISGlobal, Barcelona, Spain
[7] Natl & Kapodistrian Univ Athens, Sch Med, Dept Hyg Epidemiol & Med Stat, Athens, Greece
[8] Univ Utrecht, Inst Risk Assessment Sci IRAS, Div Environm Epidemiol, Utrecht, Netherlands
[9] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
关键词
OpenStreetMap; Google street view; Food environment; Quality assessment; Exposome;
D O I
10.1016/j.healthplace.2023.103075
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页数:6
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