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Using Google Earth to identify and characterize the sexual, social and residential/home neighborhoods of men who have sex with men in New York City
Tuesday, November 1, 2011: 1:30 PM
James E. Egan, MPH
,
Center for Urban Epidemiologic Studies (CUES), The New York Academy of Medicine, New York, NY
Victoria A. Frye, DrPH
,
Laboratory of Social and Behavioral SciencesProgram, New York Blood Center, New York, NY
Krista Goodman, MS
,
Laboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY
Andrew Rundle, DrPH
,
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
James Quinn, MA
,
Institute for Social and Economic Research and Policy, Columbia University, New York, NY
Magdalena Cerdá, DrPH
,
Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, NY
Hong Van Tieu, MD, MS
,
Laboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY
Beryl A. Koblin, ScM, PhD
,
Laboratory of Infectious Disease Prevention, The New York Blood Center, New York, NY
Background: As part of a study investigating whether and how urban neighborhood-level characteristics relate to sexual risk behaviors, substance use and depression among gay, bisexual and other men who have sex with men (MSM) living in New York City, Google Earth was used to collect geographical data on residential, social and sexual networks. Methods: First, we conducted in-depth interviews to assess the feasibility of asking men to identify and define three neighborhood types, asking men to pinpoint neighborhood locations on a map and draw boundaries around each neighborhood. Second, as part of a survey of a venue-based sample, men were asked to identify and enter, with the help of study staff, these locations directly into Google Earth and then describe the boundaries of each neighborhood. These data were then geocoded, providing maps of the size, location and function of the urban spaces within which MSM live their lives. Findings: In the interviews (N=20) we found that that the concept of residential, social and sexual neighborhoods resonated with participants, with men offering accounts of the impact of neighborhoods on the sexual identity- and orientation-related process. In the survey phase we have collected over 288 geographical data points for the 72 participants recruited to date. Discussion: This method offers an innovative, acceptable and efficient method for collecting primary geographic data required to better understand the interactions among behaviors and neighborhoods. Results will provide important insights for the development of geographically specific and norms-based health outreach and programming.
Learning Areas:
Communication and informatics
Diversity and culture
Public health or related research
Social and behavioral sciences
Learning Objectives: 1. Describe how gay/bisexual men conceive of residential, social and sexual neighborhoods.
2. Describe feasibility of using Google Earth as tool for collection of geographical data.
3. Discuss using innovative methods for geographical data collection to investigate interactions among behaviors and neighborhoods
Keywords: Gay Men, Geocoding
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am an investigator on the NIH-funded study.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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