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Using Google street view images to examine links between the built...

Title: Using Google street view images to examine links between the built environment and health / Quynh Nguyen.
Author(s)/Relationship(s): Nguyen, Quynh (Quynh Camthi), speaker.
Publisher: [Bethesda, Md.] : [National Institutes of Health], [2020]
Related Names: National Institutes of Health (U.S.), issuing body.
Series: NLM informatics and data science lecture
Description: 1 online resource (1 streaming video file (54 min.)) : color, sound.
Content Type: two-dimensional moving image
Media Type: computer
Carrier Type: online resource
Language: eng
Electronic Links: https://videocast.nih.gov/launch.asp?29042
MeSH Subjects: Environmental Health
Built Environment
Geographic Information Systems
Internet
Maps as Topic
Social Determinants of Health
United States
Lecture
Webcast
Summary: (CIT): Advances in neighborhood research have been constrained by the lack of neighborhood data for many geographical areas. Dr. Nguyen will discuss the use of Google Street View (GSV) images as a source of national data on built environment features and the use of computer vision to label images for indicators of walkability, urban development, and physical disorder. She will discuss how they collect images and how they identify relevant built environment features from street images. Dr. Nguyen will present preliminary analyses examining associations between built environment features and health outcomes at the census tract and county levels. GSV images represent an underutilized resource for building national data on neighborhoods and examining the influence of built environments on community health outcomes across the United States.
Notes: Closed-captioned.
NLM Unique ID: 101765810
Other ID Numbers: (DNLM)CIT:29042
(OCoLC)1151773472

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