Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases

Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases

The spread of COVID-19 is not evenly distributed. Neighborhood environments may structure risks and resources that produce COVID-19 disparities. Neighborhood built environments that allow greater flow of people into an area or impede social distancing practices may increase residents’ risk for contr...

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Bibliographic Details
Main Authors: Quynh C. Nguyen, Yuru Huang, Abhinav Kumar, Haoshu Duan, Jessica M. Keralis, Pallavi Dwivedi, Hsien-Wen Meng, Kimberly D. Brunisholz, Jonathan Jay, Mehran Javanmardi, Tolga Tasdizen
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
COVID-19
built environment
big data
GIS
computer vision
machine learning
Online Access:https://www.mdpi.com/1660-4601/17/17/6359

Internet

https://www.mdpi.com/1660-4601/17/17/6359

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