Systematic review of the use of Google Street View in health research: Major themes, strengths, weaknesses and possibilities for future research.

Journal: Health & place

Volume: 52

Issue: 

Year of Publication: 2019

Affiliated Institutions:  Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA. Electronic address: rzotkiew@msu.edu. Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA; Environmental Science and Policy Program, Michigan State University, East Lansing, MI, USA; Department of Public Health, University of Otago, Wellington, New Zealand. Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA. Department of Public Health, University of Otago, Wellington, New Zealand.

Abstract summary 

We systematically reviewed the current use of Google Street View (GSV) in health research and characterized major themes, strengths and weaknesses in order to highlight possibilities for future research. Of 54 qualifying studies, we found that most used GSV to assess the neighborhood built environment, followed by health policy compliance, study site selection, and disaster preparedness. Most studies were conducted in urban areas of North America, Europe, or New Zealand, with few studies from South America or Asia and none from Africa or rural areas. Health behaviors and outcomes of interest in these studies included injury, alcohol and tobacco use, physical activity and mental health. Major strengths of using GSV imagery included low cost, ease of use, and time saved. Identified weaknesses were image resolution and spatial and temporal availability, largely in developing regions of the world. Despite important limitations, GSV is a promising tool for automated environmental assessment for health research. Currently untapped areas of health research using GSV include identification of sources of air, soil or water pollution, park design and usage, amenity design and longitudinal research on neighborhood conditions.

Authors & Co-authors:  Rzotkiewicz Amanda A Pearson Amber L AL Dougherty Benjamin V BV Shortridge Ashton A Wilson Nick N

Study Outcome 

Source Link: Visit source

Statistics
Citations : 
Authors :  5
Identifiers
Doi : 10.1016/j.healthplace.2018.07.001
SSN : 1873-2054
Study Population
Male,Female
Mesh Terms
Big Data
Other Terms
Big data;Built environment;Exposure assessment;Google Street View;Health policy compliance;Neighborhood audit;Virtual audit
Study Design
Longitudinal Study,Cross Sectional Study
Study Approach
Systemic Review
Country of Study
Publication Country
England