scholarly article | Q13442814 |
P50 | author | Quynh C Nguyen | Q47153586 |
Tolga Tasdizen | Q60056868 | ||
P2093 | author name string | Ming Wen | |
Ken R Smith | |||
Feifei Li | |||
Kim Brunisholz | |||
Thu T Nguyen | |||
Mehdi Sajjadi | |||
Minh Pham | |||
Hsien-Wen Meng | |||
Matt McCullough | |||
Weijun Yu | |||
P2860 | cites work | Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions | Q27311174 |
Using Google Street View to audit neighborhood environments | Q28386012 | ||
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 | ||
Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit | Q34149337 | ||
Can virtual streetscape audits reliably replace physical streetscape audits? | Q34420173 | ||
Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits | Q34493116 | ||
Environmental factors associated with adults' participation in physical activity: a review | Q34565452 | ||
Social deprivation and premature mortality: regional comparison across England | Q35189992 | ||
Matching study areas using Google Street View: A new application for an emerging technology. | Q36236722 | ||
The Irvine-Minnesota inventory to measure built environments: development. | Q36387396 | ||
A systematic review of relations between neighborhoods and mental health. | Q36618931 | ||
Using Virtual Street Audits to Understand the Walkability of Older Adults' Route Choices by Gender and Age. | Q37455547 | ||
Neighborhood Design, Physical Activity, and Wellbeing: Applying the Walkability Model | Q37628821 | ||
Birth weight and subsequent risk of obesity: a systematic review and meta-analysis | Q37857902 | ||
Disparities in pedestrian streetscape environments by income and race/ethnicity | Q38379512 | ||
Context, composition and heterogeneity: using multilevel models in health research | Q38529352 | ||
Identifying and Measuring Urban Design Qualities Related to Walkability | Q40498557 | ||
How does the built environment relate to body mass index and obesity prevalence among public housing residents? | Q43750560 | ||
The impact of income on the incidence of diabetes: a population-based study | Q45227507 | ||
Place-focused physical activity research, human agency, and social justice in public health: taking agency seriously in studies of the built environment. | Q48109578 | ||
Relation between neighborhood environments and obesity in the Multi-Ethnic Study of Atherosclerosis | Q50273112 | ||
Bringing context back into epidemiology: variables and fallacies in multilevel analysis. | Q55067403 | ||
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 | ||
Birthweight and risk for diabetes | Q78290556 | ||
Nutrition Environment Measures Study in restaurants (NEMS-R): development and evaluation | Q80031923 | ||
P4510 | describes a project that uses | ArcGIS | Q513297 |
P433 | issue | 3 | |
P304 | page(s) | 260-266 | |
P577 | publication date | 2018-01-15 | |
P1433 | published in | Journal of Epidemiology and Community Health | Q3428712 |
P1476 | title | Neighbourhood looking glass: 360º automated characterisation of the built environment for neighbourhood effects research | |
P478 | volume | 72 |
Q92327381 | Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults |
Q96306309 | Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally |
Q55405800 | Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain. |
Q89684284 | Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment |
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