https://doi.org/10.4081/gh.2019.752

Using global positioning system methods to explore mobility patterns and exposure to high HIV prevalence neighbourhoods among transgender women in New York

Vol. 14 No. 2 (2019)
Submitted: 6 November 2018
Accepted: 10 April 2019
Published: 12 November 2019
Spatial Epidemiology, Transgender, HIV, Mobility, Global positioning system
Abstract Views: 1383
PDF: 695
HTML: 26
Publisher's note
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

William C. Goedel
Department of Epidemiology, Brown University School of Public Health, Providence, RI, United States.
Seann D. Regan
Social and Spatial Epidemiology Unit, Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Basile Chaix
“Pierre-Louis Institute of Epidemiology and Public Health, Pierre et Marie Curie University, Paris, France.
Asa Radix
Callen-Lorde Community Health Center, New York, NY, United States.
Sari L. Reisner
Division of General Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Fenway Institute, Fenway Health, Boston, MA, United States.
Aron C. Janssen
Department of Child and Adolescent Psychiatry, School of Medicine, New York University, New York, NY, United States.
Dustin T. Duncan
dd3018@columbia.edu
Social and Spatial Epidemiology Unit, Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.

The aim of this study was to assess mobility patterns among a sample of transgender women (n=14) in New York City via survey and Global Positioning System (GPS) monitoring. We found varying levels of concordance between the residential neighbourhood and each of the non-residential contexts: 64.3% considered the neighbourhood that they socialised in most often to be different from their residential neighbourhood. While participants' residences represented 10 zone improvement plan code tabulation areas (ZCTAs), GPS data were recorded in 124 of 263 ZCTAs (47.1%). Overall, 58.2% (n=373,262) were recorded in ZCTAs in the highest quartile of human immunodeficiency virus (HIV) prevalence. The association between place, community HIV prevalence, mobility, and factors that increase the vulnerability of transgender women to HIV infection are worthy of future investigation in reducing the burden of the HIV epidemic in these communities.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Crossref
Scopus
Google Scholar
Europe PMC

Supporting Agencies

This work was funded by a grant from the New York University College of Arts and Science Dean’s Undergraduate Research Fund (Principal Investigator: William C. Goedel, BA). At the time of analysis and writing, Dustin T. Duncan, ScD was supported in part by grants from the National Institutes of Health (R01MD013554, R01MH112406, and R03DA039748), and the Centers for Disease Control and Prevention (U01PS005122).

How to Cite

Goedel, W. C., Regan, S. D., Chaix, B., Radix, A., Reisner, S. L., Janssen, A. C., & Duncan, D. T. (2019). Using global positioning system methods to explore mobility patterns and exposure to high HIV prevalence neighbourhoods among transgender women in New York. Geospatial Health, 14(2). https://doi.org/10.4081/gh.2019.752

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.