@article{Goedel_Regan_Chaix_Radix_Reisner_Janssen_Duncan_2019, title={Using global positioning system methods to explore mobility patterns and exposure to high HIV prevalence neighbourhoods among transgender women in New York}, volume={14}, url={https://www.geospatialhealth.net/gh/article/view/752}, DOI={10.4081/gh.2019.752}, abstractNote={<p>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.</p>}, number={2}, journal={Geospatial Health}, author={Goedel, William C. and Regan, Seann D. and Chaix, Basile and Radix, Asa and Reisner, Sari L. and Janssen, Aron C. and Duncan, Dustin T.}, year={2019}, month={Nov.} }