Literature DB >> 16041254

Social and geographic distance in HIV risk.

Richard Rothenberg1, Stephen Q Muth, Shauna Malone, John J Potterat, Donald E Woodhouse.   

Abstract

OBJECTIVE: The objective of this study was to examine the relationship between social distance (measured as the geodesic, or shortest distance, between 2 people in a connected network) and geographic distance (measured as the actual distance between them in kilometers [km]). STUDY: We used data from a study of 595 persons at risk for HIV and their sexual and drug-using partners (total N = 8920 unique individuals) conducted in Colorado Springs, Colorado, from 1988 to 1992--a longitudinal cohort study that ascertained sociodemographic, clinical, behavioral, and network information about participants. We used place of residence as the geographic marker and calculated distance between people grouped by various characteristics of interest.
RESULTS: Fifty-two percent of all dyads were separated by a distance of 4 km or less. The closest pairs were persons who both shared needles and had sexual contact (mean = 3.2 km), and HIV-positive persons and their contacts (mean = 2.9). The most distant pairs were prostitutes and their paying partners (mean = 6.1 km). In a connected subset of 348 respondents, almost half the persons were between 3 and 6 steps from each other in the social network and were separated by a distance of 2 to 8 km. Using block group centroids, the mean distance between all persons in Colorado Springs was 12.4 km compared with a mean distance of 5.4 km between all dyads in this study (P <0.0001). The subgroup of HIV-positive people and their contacts was drawn in real space on a map of Colorado Springs and revealed tight clustering of this group in the downtown area.
CONCLUSION: The association of social and geographic distance in an urban group of people at risk for HIV provides demonstration of the importance of geographic clustering in the potential transmission of HIV. The proximity of persons connected within a network, but not necessarily known to each other, suggests that a high probability of partner selection from within the group may be an important factor in maintenance of HIV endemicity.

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Mesh:

Year:  2005        PMID: 16041254     DOI: 10.1097/01.olq.0000161191.12026.ca

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  37 in total

1.  Reciprocal sex partner concurrency and STDs among heterosexuals at high-risk of HIV infection.

Authors:  Alan Neaigus; Samuel M Jenness; Holly Hagan; Christopher S Murrill; Travis Wendel
Journal:  J Urban Health       Date:  2013-10       Impact factor: 3.671

2.  Spread of methicillin-resistant Staphylococcus aureus in a large tertiary NICU: network analysis.

Authors:  Alon Geva; Sharon B Wright; Linda M Baldini; Jane A Smallcomb; Charles Safran; James E Gray
Journal:  Pediatrics       Date:  2011-10-17       Impact factor: 7.124

Review 3.  The relevance of social epidemiology in HIV/AIDS and drug abuse research.

Authors:  Richard Rothenberg
Journal:  Am J Prev Med       Date:  2007-06       Impact factor: 5.043

Review 4.  Maintenance of endemicity in urban environments: a hypothesis linking risk, network structure and geography.

Authors:  R Rothenberg
Journal:  Sex Transm Infect       Date:  2007-02       Impact factor: 3.519

5.  Relating diarrheal disease to social networks and the geographic configuration of communities in rural Ecuador.

Authors:  Sarah J Bates; James Trostle; William T Cevallos; Alan Hubbard; Joseph N S Eisenberg
Journal:  Am J Epidemiol       Date:  2007-08-09       Impact factor: 4.897

6.  The complex interplay of social networks, geography and HIV risk among Malaysian Drug Injectors: Results from respondent-driven sampling.

Authors:  Alexei Zelenev; Elisa Long; Alexander R Bazazi; Adeeba Kamarulzaman; Frederick L Altice
Journal:  Int J Drug Policy       Date:  2016-09-15

7.  Activity spaces of men who have sex with men: An initial exploration of geographic variation in locations of routine, potential sexual risk, and prevention behaviors.

Authors:  Adam S Vaughan; Michael R Kramer; Hannah L F Cooper; Eli S Rosenberg; Patrick S Sullivan
Journal:  Soc Sci Med       Date:  2016-12-24       Impact factor: 4.634

8.  Integrating space with place in health research: a multilevel spatial investigation using child mortality in 1880 Newark, New Jersey.

Authors:  Hongwei Xu; John R Logan; Susan E Short
Journal:  Demography       Date:  2014-06

9.  Recruitment of urban US women at risk for HIV infection and willingness to participate in future HIV vaccine trials.

Authors:  Barbara Metch; Ian Frank; Richard Novak; Edith Swann; David Metzger; Cecilia Morgan; Debbie Lucy; Debora Dunbar; Parrie Graham; Tamra Madenwald; Gina Escamilia; Beryl Koblin
Journal:  AIDS Behav       Date:  2013-02

10.  Individual and neighborhood correlates of membership in drug using networks with a higher prevalence of HIV in New York City (2006-2009).

Authors:  Abby E Rudolph; Natalie D Crawford; Carl Latkin; James H Fowler; Crystal M Fuller
Journal:  Ann Epidemiol       Date:  2013-03-21       Impact factor: 3.797

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