| P50 | author | Tolga Tasdizen | Q60056868 |
| | Pallavi Dwivedi | Q88594427 |
| P2093 | author name string | Sahil Khanna | |
| | Chengsheng Jiang | |
| | Feifei Li | |
| | Quynh C Nguyen | |
| | Thu T Nguyen | |
| | Kimberly D Brunisholz | |
| | Dina Huang | |
| | Yuru Huang | |
| | Wyatt Gorman | |
| P2860 | cites work | How does the built environment relate to body mass index and obesity prevalence among public housing residents? | Q43750560 |
| | Fast food, race/ethnicity, and income: a geographic analysis | Q44855200 |
| | The impact of income on the incidence of diabetes: a population-based study | Q45227507 |
| | Neighborhood Physical Environment and Changes in Body Mass Index: Results From the Multi-Ethnic Study of Atherosclerosis | Q47586465 |
| | Neighborhood built environment and socioeconomic status in relation to physical activity, sedentary behavior, and weight status of adolescents | Q50046997 |
| | Recommended community strategies and measurements to prevent obesity in the United States. | Q50184413 |
| | Relation between neighborhood environments and obesity in the Multi-Ethnic Study of Atherosclerosis | Q50273112 |
| | New roads and human health: a systematic review. | Q51947000 |
| | Geographic and socioeconomic variation in the onset of decline of coronary heart disease mortality in white women | Q57031365 |
| | Neighborhoods and obesity in New York City | Q57080668 |
| | The importance of place of residence: examining health in rural and nonrural areas | Q64133121 |
| | Rural health disparities, population health, and rural culture | Q80794824 |
| | Using Google Street View to audit neighborhood environments | Q28386012 |
| | Obesity and fast food in urban markets: a new approach using geo-referenced micro data | Q30558692 |
| | Levels of mortality, education, and social conditions in the 107 local education authority areas of England | Q33703285 |
| | Racial and social class gradients in life expectancy in contemporary California | Q33770870 |
| | Neighborhood socioeconomic change and diabetes risk: findings from the Chicago childhood diabetes registry | Q33804641 |
| | Built environment correlates of walking: a review | Q34064089 |
| | Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit | Q34149337 |
| | The built environment and mental health | Q34288341 |
| | Social deprivation and premature mortality: regional comparison across England | Q35189992 |
| | Determinants of leisure time physical activity in rural compared with urban older and ethnically diverse women in the United States | Q35402796 |
| | Differential correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States | Q35409557 |
| | Urban built environment and depression: a multilevel analysis | Q35417366 |
| | Health impacts of the built environment: within-urban variability in physical inactivity, air pollution, and ischemic heart disease mortality | Q35756842 |
| | Matching study areas using Google Street View: A new application for an emerging technology. | Q36236722 |
| | Automated Image Sampling and Classification Can Be Used to Explore Perceived Naturalness of Urban Spaces | Q36239485 |
| | Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008) | Q36347430 |
| | The Irvine-Minnesota inventory to measure built environments: development. | Q36387396 |
| | Using Google Street View to audit the built environment: inter-rater reliability results | Q36546270 |
| | A systematic review of relations between neighborhoods and mental health. | Q36618931 |
| | Built environment, adiposity, and physical activity in adults aged 50-75. | Q36761450 |
| | Potential health effects associated with residential proximity to freeways and primary roads: review of scientific literature, 1999-2006. | Q37158525 |
| | Using Virtual Street Audits to Understand the Walkability of Older Adults' Route Choices by Gender and Age. | Q37455547 |
| | The urban built environment and overdose mortality in New York City neighborhoods | Q38444653 |
| | Neighbourhood typology based on virtual audit of environmental obesogenic characteristics. | Q39003777 |
| | Traffic-related air pollution near busy roads: the East Bay Children's Respiratory Health Study | Q39686790 |
| | Obesity relationships with community design, physical activity, and time spent in cars. | Q39690258 |
| | Geographic access to health care for rural Medicare beneficiaries | Q39751386 |
| | Neighborhood disadvantage and obesity across childhood and adolescence: Evidence from the NLSY children and young adults cohort (1986-2010). | Q39923720 |
| | Geoprocessing via google maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: validity and reliability | Q40259135 |
| | Identifying and Measuring Urban Design Qualities Related to Walkability | Q40498557 |
| P4510 | describes a project that uses | SQL | Q47607 |
| | ArcGIS | Q513297 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Google | Q95 |
| | Rural | Q7380465 |
| | geographic information system | Q483130 |
| | Google Street View | Q213602 |
| | built environment | Q4986688 |
| P304 | page(s) | 100859 | |
| P577 | publication date | 2019-04-09 | |
| P1433 | published in | Preventive medicine reports | Q27725993 |
| P1476 | title | Using Google Street View to examine associations between built environment characteristics and U.S. health outcomes | |
| P478 | volume | 14 | |