Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study
Submitted: 9 December 2014
Accepted: 9 December 2014
Published: 1 November 2014
Accepted: 9 December 2014
Abstract Views: 2290
PDF: 1085
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Department of Population Health, New York University School of Medicine, New York; Global Institute of Public Health, New York University, New York; Population Center, New York University, New York, United States.
Department of Population Health, New York University School of Medicine, New York, United States.
Department of Population Health, New York University School of Medicine, New York; Global Institute of Public Health, New York University, New York, United States.
Department of Technology, Culture and Society, New York University Polytechnic School of Engineering, New York; Wagner Graduate School of Public Service, New York University, New York, United States.
Global Institute of Public Health, New York University, New York; Department of Epidemiology and Health Promotion, New York University College of Dentistry, New York, United States.
Department of Population Health, New York University School of Medicine, New York, United States.
Department of Population Health, New York University School of Medicine, New York; Global Institute of Public Health, New York University, New York; Population Center, New York University, New York; Wagner Graduate School of Public Service, New York University, New York, United States.
How to Cite
Duncan, D. T., Regan, S. D., Shelley, D., Day, K., Ruff, R. R., Al-Bayan, M., & Elbel, B. (2014). Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study. Geospatial Health, 9(1), 57–70. https://doi.org/10.4081/gh.2014.6
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