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Neighborhood-Level Structural Factors, HIV, and Communities of Color

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HIV in US Communities of Color

Abstract

Neighborhoods and health studies have focused on a wide range of health outcomes, including HIV outcomes such as condomless sex and HIV acquisition. This growing body of research connecting neighborhoods to sexual behaviors [e.g., condomless anal intercourse], HIV prevention behaviors [e.g., pre-exposure prophylaxis (PrEP) use], and HIV care behaviors [e.g., antiretroviral therapy (ART) use] has been conducted in different populations across geographic regions. In this chapter, we overview studies focused on neighborhood factors and HIV outcomes, with special attention to relevant research focused on communities of color in the United States. In particular, we discuss how various social (e.g., racial segregation, neighborhood disadvantage, neighborhood disorder) and built (e.g., public transit, availability of sexually transmitted infections [STI] testing locations) environmental characteristics relate to a wide range of HIV outcomes. Various neighborhood characteristics have been related to HIV health outcomes in communities of color, including high-risk groups such as Black gay and bisexual men. Like the vast majority of neighborhoods and health research, neighborhoods research focused on HIV is largely cross-sectional and there is a clear paucity of evidence of neighborhood-level HIV-related interventions. However, the findings from observational studies suggest that neighborhood-level interventions can improve sexual health and related HIV outcomes and therefore should be explored.

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References

  1. Duncan DT, Kawachi I. Neighborhoods and health. Oxford: Oxford University Press; 2018.

    Book  Google Scholar 

  2. Bauermeister JA, Connochie D, Eaton L, Demers M, Stephenson R. Geospatial indicators of space and place: a review of multilevel studies of HIV prevention and care outcomes among young men who have sex with men in the United States. J Sex Res. 2017;54(4–5):446–64.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Singh S, Song R, Johnson AS, McCray E, Hall HI. HIV incidence, prevalence, and undiagnosed infections in US men who have sex with men. Ann Intern Med. 2018;168(10):685–94.

    Article  PubMed  Google Scholar 

  4. Howe CJ, Siegel H, Dulin-Keita A. Neighborhood environments and sexual risk behaviors for HIV infection among US women: a systematic review. AIDS Behav. 2017;21(12):3353–65.

    Article  PubMed  Google Scholar 

  5. Card KG, Lachowsky NJ, Althoff KN, Schafer K, Hogg RS, Montaner JS. A systematic review of the geospatial barriers to antiretroviral initiation, adherence and viral suppression among people living with HIV. Sex Health. 2018;16(1):1–17.

    Article  Google Scholar 

  6. Bowleg L. The problem with the phrase women and minorities: intersectionality—an important theoretical framework for public health. Am J Public Health. 2012;102(7):1267–73.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Julia C, Valleron A-J. Louis-René Villermé (1782–1863), a pioneer in social epidemiology: re-analysis of his data on comparative mortality in Paris in the early 19th century. J Epidemiol Community Health. 2011;65(8):666–70.

    Article  CAS  PubMed  Google Scholar 

  8. Kim D. Blues from the neighborhood? Neighborhood characteristics and depression. Epidemiol Rev. 2008;30(1):101–17.

    Article  CAS  PubMed  Google Scholar 

  9. Ding D, Gebel K. Built environment, physical activity, and obesity: what have we learned from reviewing the literature? Health Place. 2012;18(1):100–5.

    Article  PubMed  Google Scholar 

  10. Grasser G, Van Dyck D, Titze S, Stronegger W. Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review. Int J Public Health. 2013;58(4):615–25.

    Article  PubMed  Google Scholar 

  11. Yen IH, Michael YL, Perdue L. Neighborhood environment in studies of health of older adults: a systematic review. Am J Prev Med. 2009;37(5):455–63.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Boardman JD, Finch BK, Ellison CG, Williams DR, Jackson JS. Neighborhood disadvantage, stress, and drug use among adults. J Health Soc Behav. 2001;42:151–65.

    Article  CAS  PubMed  Google Scholar 

  13. Arcaya MC, Tucker-Seeley RD, Kim R, Schnake-Mahl A, So M, Subramanian SV. Research on neighborhood effects on health in the United States: a systematic review of study characteristics. Soc Sci Med. 2016;168:16–29.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Roux AVD, Merkin SS, Arnett D, Chambless L, Massing M, Nieto FJ, et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med. 2001;345(2):99–106.

    Article  Google Scholar 

  15. Evans GW. The environment of childhood poverty. Am Psychol. 2004;59(2):77.

    Article  PubMed  Google Scholar 

  16. Feldman PJ, Steptoe A. How neighborhoods and physical functioning are related: the roles of neighborhood socioeconomic status, perceived neighborhood strain, and individual health risk factors. Ann Behav Med. 2004;27(2):91–9.

    Article  PubMed  Google Scholar 

  17. Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55(2):111–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Leal C, Bean K, Thomas F, Chaix B. Multicollinearity in associations between multiple environmental features and body weight and abdominal fat: using matching techniques to assess whether the associations are separable. Am J Epidemiol. 2012;175(11):1152–62.

    Article  PubMed  Google Scholar 

  19. Cohen DA, Inagami S, Finch B. The built environment and collective efficacy. Health Place. 2008;14(2):198–208.

    Article  PubMed  Google Scholar 

  20. Dong H. Does walkability undermine neighbourhood safety? J Urban Des. 2017;22(1):59–75.

    Article  Google Scholar 

  21. Duncan DT, Goedel WC, Chunara R. Quantitative methods for measuring neighborhood characteristics in neighborhood health research. In: Neighborhoods and health. Oxford: Oxford University Press; 2018. p. 57.

    Google Scholar 

  22. Duncan DT. What’s your walk score(R)?: web-based neighborhood walkability assessment for health promotion and disease prevention. Am J Prev Med. 2013;45(2):244–5.

    Article  PubMed  Google Scholar 

  23. De Choudhury M, Sharma S, Kiciman E, editors. Characterizing dietary choices, nutrition, and language in food deserts via social media. Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing. San Francisco, CA: ACM; 2016.

    Google Scholar 

  24. Cawkwell PB, Lee L, Weitzman M, Sherman SE. Tracking hookah bars in New York: utilizing yelp as a powerful public health tool. JMIR Public Health Surveill. 2015;1(2):e19.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Duncan DT, Regan SD, Chaix B. Operationalizing neighborhood definitions in health research: spatial misclassification and other issues. In: Neighborhoods and health. Oxford: Oxford University Press; 2018. p. 19–56.

    Google Scholar 

  26. Duncan DT, Kawachi I, Subramanian SV, Aldstadt J, Melly SJ, Williams DR. Examination of how neighborhood definition influences measurements of youths’ access to tobacco retailers: a methodological note on spatial misclassification. Am J Epidemiol. 2014;179(3):373–81.

    Article  PubMed  Google Scholar 

  27. Duncan DT, Tamura K, Regan SD, Athens J, Elbel B, Meline J, et al. Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study. Ann Epidemiol. 2017;27(1):67–75.

    Article  PubMed  Google Scholar 

  28. Harrison F, Burgoine T, Corder K, van Sluijs EM, Jones A. How well do modelled routes to school record the environments children are exposed to? A cross-sectional comparison of GIS-modelled and GPS-measured routes to school. Int J Health Geogr. 2014;13:5.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Boruff BJ, Nathan A, Nijënstein S. Using GPS technology to (re)-examine operational definitions of ‘neighbourhood’ in place-based health research. Int J Health Geogr. 2012;11(1):22.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hirsch JA, Winters M, Clarke P, McKay H. Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis. Int J Health Geogr. 2014;13:51.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Mooney SJ, Sheehan DM, Zulaika G, Rundle AG, McGill K, Behrooz MR, et al. Quantifying distance overestimation from global positioning system in urban spaces. Am J Public Health. 2016;106(4):651–3.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Chaix B, Meline J, Duncan S, Merrien C, Karusisi N, Perchoux C, et al. GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference? Health Place. 2013;21:46–51.

    Article  PubMed  Google Scholar 

  33. Tamura K, Elbel B, Athens JK, Rummo PE, Chaix B, Regan SD, et al. Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City. Geospat Health. 2018;13(2). https://doi.org/10.4081/gh.2018.712. PMID: 30451471.

  34. Zenk SN, Schulz AJ, Matthews SA, Odoms-Young A, Wilbur J, Wegrzyn L, et al. Activity space environment and dietary and physical activity behaviors: a pilot study. Health Place. 2011;17(5):1150–61.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Latkin CA, German D, Vlahov D, Galea S. Neighborhoods and HIV: a social ecological approach to prevention and care. Am Psychol. 2013;68(4):210.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Williams DR, Collins C. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep. 2016;116:404.

    Article  Google Scholar 

  37. Kramer MR. Residential segregation and health. In: Neighborhoods and health. Oxford: Oxford University Press; 2018. p. 321–56.

    Google Scholar 

  38. Kramer MR, Cooper HL, Drews-Botsch CD, Waller LA, Hogue CR. Do measures matter? Comparing surface-density-derived and census-tract-derived measures of racial residential segregation. Int J Health Geogr. 2010;9(1):29.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Acevedo-Garcia D. Residential segregation and the epidemiology of infectious diseases. Soc Sci Med. 2000;51(8):1143–61.

    Article  CAS  PubMed  Google Scholar 

  40. Ibragimov U, Beane S, Adimora A, Friedman S, Williams L, Tempalski B, et al. Relationship of racial residential segregation to newly diagnosed cases of HIV among black heterosexuals in US Metropolitan Areas, 2008-2015. J Urban Health. 2018;96:856.

    Article  PubMed Central  Google Scholar 

  41. Lutfi K, Trepka MJ, Fennie KP, Ibanez G, Gladwin H. Racial residential segregation and risky sexual behavior among non-Hispanic blacks, 2006–2010. Soc Sci Med. 2015;140:95–103.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Ransome Y, Kawachi I, Braunstein S, Nash D. Structural inequalities drive late HIV diagnosis: the role of black racial concentration, income inequality, socioeconomic deprivation, and HIV testing. Health Place. 2016;42:148–58.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Brawner BM, Guthrie B, Stevens R, Taylor L, Eberhart M, Schensul JJ. Place still matters: racial/ethnic and geographic disparities in HIV transmission and disease burden. J Urban Health. 2017;94(5):716–29.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Sheehan DM, Fennie KP, Mauck DE, Maddox LM, Lieb S, Trepka MJ. Retention in HIV care and viral suppression: individual-and neighborhood-level predictors of racial/ethnic differences, Florida, 2015. AIDS Patient Care STDs. 2017;31(4):167–75.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Halkitis P, Kapadia F, Ompad D. Incidence of HIV infection in young gay, bisexual, and other YMSM: the P18 Cohort Study. J Acquir Immune Defic Syndr (1999). 2015;69(4):466.

    Article  Google Scholar 

  46. Mustanski B, Birkett M, Kuhns LM, Latkin CA, Muth SQ. The role of geographic and network factors in racial disparities in HIV among young men who have sex with men: an egocentric network study. AIDS Behav. 2015;19(6):1037–47.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Raymond HF, Chen Y-H, Syme SL, Catalano R, Hutson M, McFarland W. The role of individual and neighborhood factors: HIV acquisition risk among high-risk populations in San Francisco. AIDS Behav. 2014;18(2):346–56.

    Article  CAS  PubMed  Google Scholar 

  48. Johns MM, Bauermeister JA, Zimmerman MA. Individual and neighborhood correlates of HIV testing among African American youth transitioning from adolescence into young adulthood. AIDS Educ Prev. 2010;22(6):509–22.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Brown M. Gender and sexuality II: there goes the gayborhood? Prog Hum Geogr. 2014;38(3):457–65.

    Article  Google Scholar 

  50. Buttram ME, Kurtz SP. Risk and protective factors associated with gay neighborhood residence. Am J Mens Health. 2013;7(2):110–8.

    Article  PubMed  Google Scholar 

  51. Frye V, Koblin B, Chin J, Beard J, Blaney S, Halkitis P, et al. Neighborhood-level correlates of consistent condom use among men who have sex with men: a multi-level analysis. AIDS Behav. 2010;14(4):974–85.

    Article  PubMed  Google Scholar 

  52. Mills TC, Stall R, Pollack L, Paul JP, Binson D, Canchola J, et al. Health-related characteristics of men who have sex with men: a comparison of those living in “gay ghettos” with those living elsewhere. Am J Public Health. 2001;91(6):980.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Carpiano RM, Kelly BC, Easterbrook A, Parsons JT. Community and drug use among gay men: the role of neighborhoods and networks. J Health Soc Behav. 2011;52(1):74–90.

    Article  PubMed  Google Scholar 

  54. Egan JE. Gays in the neighborhood: how neighborhood and context impact HIV and substance use risks and resiliencies of gay, bisexual and other men who have sex with men in New York City. Ph.D. Dissertation, University of Pittsburgh. 2015.

    Google Scholar 

  55. Kelly BC, Carpiano RM, Easterbrook A, Parsons JT. Sex and the community: the implications of neighbourhoods and social networks for sexual risk behaviours among urban gay men. Sociol Health Illn. 2012;34(7):1085–102.

    Article  PubMed  Google Scholar 

  56. Fulcher C, Kaukinen C. Mapping and visualizing the location HIV service providers: an exploratory spatial analysis of Toronto neighborhoods. AIDS Care. 2005;17(3):386–96.

    Article  PubMed  Google Scholar 

  57. Mauck DE, Sheehan DM, Fennie KP, Maddox LM, Trepka MJ. Role of gay neighborhood status and other neighborhood factors in racial/ethnic disparities in retention in care and viral load suppression among men who have sex with men, Florida, 2015. AIDS Behav. 2018;22(9):2978–93.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Chen Y-T, Kolak M, Duncan DT, Schumm P, Michaels S, Fujimoto K, et al. Neighbourhoods, networks and pre-exposure prophylaxis awareness: a multilevel analysis of a sample of young black men who have sex with men. Sex Transm Infect. 2019;95(3):228–35.

    Article  PubMed  Google Scholar 

  59. Egan JE, Frye V, Kurtz SP, Latkin C, Chen M, Tobin K, et al. Migration, neighborhoods, and networks: approaches to understanding how urban environmental conditions affect syndemic adverse health outcomes among gay, bisexual and other men who have sex with men. AIDS Behav. 2011;15(Suppl 1):S35–50.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Hu J, Kind AJ, Nerenz D. Area deprivation index predicts readmission risk at an urban teaching hospital. Am J Med Qual. 2018;33(5):493–501.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Stevens R, Icard L, Jemmott JB, O’leary A, Rutledge S, Hsu J, et al. Risky trade: individual and neighborhood-level socio-demographics associated with transactional sex among urban African American MSM. J Urban Health. 2017;94(5):676–82.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Cooper HL, Linton S, Haley DF, Kelley ME, Dauria EF, Karnes CC, et al. Changes in exposure to neighborhood characteristics are associated with sexual network characteristics in a cohort of adults relocating from public housing. AIDS Behav. 2015;19(6):1016–30.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Sheehan DM, Trepka MJ, Fennie KP, Prado G, Madhivanan P, Dillon FR, et al. Individual and neighborhood determinants of late HIV diagnosis among Latinos, Florida, 2007–2011. J Immigr Minor Health. 2017;19(4):825–34.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Rebeiro PF, Howe CJ, Rogers WB, Bebawy SS, Turner M, Kheshti A, et al. The relationship between adverse neighborhood socioeconomic context and HIV continuum of care outcomes in a diverse HIV clinic cohort in theSouthern United States. AIDS Care. 2018;30(11):1426–34.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Massari V, Lapostolle A, Cadot E, Parizot I, Dray-Spira R, Chauvin P. Gender, socio-economic status, migration origin and neighbourhood of residence are barriers to HIV testing in the Paris metropolitan area. AIDS Care. 2011;23(12):1609–18.

    Article  PubMed  Google Scholar 

  66. Sampson RJ, Raudenbush SW. Systematic social observation of public spaces: a new look at disorder in urban neighborhoods. Am J Sociol. 1999;105(3):603–51.

    Article  Google Scholar 

  67. Voisin DR. Victims of community violence and HIV sexual risk behaviors among African American adolescent males. J HIV/AIDS Prev Educ Adolesc Child. 2003;5(3–4):87–110.

    Article  Google Scholar 

  68. Latkin CA, Curry AD, Hua W, Davey MA. Direct and indirect associations of neighborhood disorder with drug use and high-risk sexual partners. Am J Prev Med. 2007;32(6):S234–S41.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Wilson HW, Woods BA, Emerson E, Donenberg GR. Patterns of violence exposure and sexual risk in low-income, urban African American girls. Psychol Violence. 2012;2(2):194.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Albus KE, Weist MD, Perez-Smith AM. Associations between youth risk behavior and exposure to violence: implications for the provision of mental health services in urban schools. Behav Modif. 2004;28(4):548–64.

    Article  PubMed  Google Scholar 

  71. Voisin DR, Neilands TB. Community violence and health risk factors among adolescents on Chicago’s southside: does gender matter? J Adolesc Health. 2010;46(6):600–2.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Voisin DR, Crosby R, Yarber WL, Salazar LF, DiClemente RJ, Staples-Horne M. Witnessing community violence and health-risk behaviors among detained adolescents. Am J Orthopsychiatry. 2007;77(4):506–13.

    Article  PubMed  Google Scholar 

  73. Brady SS. Lifetime community violence exposure and health risk behavior among young adults in college. J Adolesc Health. 2006;39(4):610–3.

    Article  PubMed  Google Scholar 

  74. Brady SS, Tschann JM, Pasch LA, Flores E, Ozer EJ. Violence involvement, substance use, and sexual activity among Mexican-American and European-American adolescents. J Adolesc Health. 2008;43(3):285–95.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Ojikutu BO, Bogart LM, Klein DJ, Galvan FH, Wagner GJ. Neighborhood crime and sexual transmission risk behavior among black men living with HIV. J Health Care Poor Underserved. 2018;29(1):383.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Bowleg L, Neilands TB, Tabb LP, Burkholder GJ, Malebranche DJ, Tschann JM. Neighborhood context and Black heterosexual men’s sexual HIV risk behaviors. AIDS Behav. 2014;18(11):2207–18.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Quinn K, Voisin DR, Bouris A, Schneider J. Psychological distress, drug use, sexual risks and medication adherence among young HIV-positive Black men who have sex with men: exposure to community violence matters. AIDS Care. 2016;28(7):866–72.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Kerr J, Northington T, Sockdjou T, Maticka-Tyndale E. Perceived neighborhood quality and HIV-related stigma among African diasporic youth; results from the African, Caribbean, and Black Youth (ACBY) study. J Health Care Poor Underserved. 2018;29(2):651–63.

    Article  PubMed  Google Scholar 

  79. Dale SK, Bogart LM, Galvan FH, Wagner GJ, Pantalone DW, Klein DJ. Discrimination and hate crimes in the context of neighborhood poverty and stressors among HIV-positive African-American men who have sex with men. J Community Health. 2016;41(3):574–83.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Phillips G, Birkett M, Kuhns L, Hatchel T, Garofalo R, Mustanski B. Neighborhood-level associations with HIV infection among young men who have sex with men in Chicago. Arch Sex Behav. 2015;44(7):1773–86.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Garvin E, Branas C, Keddem S, Sellman J, Cannuscio C. More than just an eyesore: local insights and solutions on vacant land and urban health. J Urban Health. 2013;90(3):412–26.

    Article  PubMed  Google Scholar 

  82. Sampson RJ. Great American city: Chicago and the enduring neighborhood effect. Chicago: University of Chicago Press; 2012.

    Book  Google Scholar 

  83. Buitrago K. Deciphering blight: vacant buildings data collection in the Chicago six county region. Chicago: Woodstock Institute; 2013.

    Google Scholar 

  84. German D, Latkin CA. Social stability and HIV risk behavior: evaluating the role of accumulated vulnerability. AIDS Behav. 2012;16(1):168–78.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Haley DF, Haardörfer R, Kramer MR, Adimora AA, Wingood GM, Goswami ND, et al. Associations between neighborhood characteristics and sexual risk behaviors among HIV-infected and HIV-uninfected women in the southern United States. Ann Epidemiol. 2017;27(4):252–9.e1.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Frye V, Nandi V, Egan JE, Cerda M, Rundle A, Quinn JW, et al. Associations among neighborhood characteristics and sexual risk behavior among black and white MSM living in a major urban area. AIDS Behav. 2017;21(3):870–90.

    Article  PubMed  Google Scholar 

  87. Kawachi I. Social capital and community effects on population and individual health. Ann N Y Acad Sci. 1999;896(1):120–30.

    Article  CAS  PubMed  Google Scholar 

  88. Kawachi I, Subramanian SV, Kim D. Social capital and health. New York: Springer; 2008. p. 1–26.

    Google Scholar 

  89. Putnam RD. Bowling alone: America’s declining social capital. In: Crothers L, Lockhart C (eds). Culture and Politics. New York: Palgrave Macmillan; 2000. p. 223–34.

    Google Scholar 

  90. Coleman JS. Social capital in the creation of human capital. Am J Sociol. 1988;94:S95–S120.

    Article  Google Scholar 

  91. Jesmin SS, Chaudhuri S. Why do some women know more? An exploration of the association of community socioeconomic characteristics, social capital, and HIV/AIDS knowledge. Women Health. 2013;53(7):669–92.

    Article  PubMed  Google Scholar 

  92. Holtgrave DR, Crosby RA. Social capital, poverty, and income inequality as predictors of gonorrhoea, syphilis, chlamydia and AIDS case rates in the United States. Sex Transm Infect. 2003;79(1):62–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  93. Ransome Y, Dean LT, Crawford ND, Metzger DS, Blank MB, Nunn AS. How do social capital and HIV/AIDS outcomes geographically cluster and which sociocontextual mechanisms predict differences across clusters? J Acquir Immune Defic Syndr (1999). 2017;76(1):13–22.

    Article  Google Scholar 

  94. Haley DF, Edmonds A, Schoenbach VJ, Ramirez C, Hickson DA, Wingood GM, et al. Associations between county-level voter turnout, county-level felony voter disenfranchisement, and sexually transmitted infections among women in the Southern United States. Ann Epidemiol. 2019;29:67–73.e1.

    Article  PubMed  Google Scholar 

  95. O’Donnell L, Agronick G, San Doval A, Duran R, Myint UA, Stueve A. Ethnic and gay community attachments and sexual risk behaviors among urban Latino young men who have sex with men. AIDS Educ Prev. 2002;14(6):457–71.

    Article  PubMed  Google Scholar 

  96. Grover E, Grosso A, Ketende S, Kennedy C, Fonner V, Adams D, et al. Social cohesion, social participation and HIV testing among men who have sex with men in Swaziland. AIDS Care. 2016;28(6):795–804.

    Article  PubMed  Google Scholar 

  97. Browning CR, Burrington LA, Leventhal T, Brooks-Gunn J. Neighborhood structural inequality, collective efficacy, and sexual risk behavior among urban youth. J Health Soc Behav. 2008;49(3):269–85.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Ramaswamy M, Kelly PJ. Sexual health risk and the movement of women between disadvantaged communities and local jails. Behav Med. 2015;41(3):115–22.

    Article  PubMed  Google Scholar 

  99. Ransome Y, Galea S, Pabayo R, Kawachi I, Braunstein S, Nash D. Social capital is associated with late HIV diagnosis: an ecological analysis. J Acquir Immune Defic Syndr (1999). 2016;73(2):213.

    Article  Google Scholar 

  100. Crosby RA, Holtgrave DR, DiClemente RJ, Wingood GM, Gayle JA. Social capital as a predictor of adolescents’ sexual risk behavior: a state-level exploratory study. AIDS Behav. 2003;7(3):245–52.

    Article  PubMed  Google Scholar 

  101. Rudolph AE, Crawford ND, Latkin C, Fowler JH, Fuller CM. Individual and neighborhood correlates of membership in drug using networks with a higher prevalence of HIV in New York City (2006–2009). Ann Epidemiol. 2013;23(5):267–74.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Lim TW, Frangakis C, Latkin C, Ha TV, Le Minh N, Zelaya C, et al. Community-level income inequality and HIV prevalence among persons who inject drugs in Thai Nguyen, Vietnam. PloS One. 2014;9(3):e90723.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  103. Ojikutu BO, Bogart LM, Mayer KH, Stopka TJ, Sullivan PS, Ransome Y. Spatial access and willingness to use pre-exposure prophylaxis among Black/African American individuals in the United States: cross-sectional survey. JMIR Public Health Surveill. 2019;5(1):e12405.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Pierce SJ, Miller RL, Morales MM, Forney J. Identifying HIV prevention service needs of African American men who have sex with men: an application of spatial analysis techniques to service planning. J Public Health Manag Pract. 2007;13:S72–S9.

    Article  Google Scholar 

  105. Kim B, Callander D, DiClemente R, Trinth-Chevrin C, Thorpe L, Duncan DT. Location of pre-exposure prophylaxiz (PrEP) services across New York City neighborhoods: do neighborhood socio-demographic characteristics and HIV prevalence matter? AIDS Behav. 2019;23(10):2795–802.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Eberhart MG, Yehia BR, Hillier A, Voytek CD, Fiore DJ, Blank M, et al. Individual and community factors associated with geographic clusters of poor HIV care retention and poor viral suppression. J Acquir Immune Defic Syndr (1999). 2015;69(01):S37.

    Article  Google Scholar 

  107. Duncan DT, Ruff RR, Chaix B, Regan SD, Williams JH, Ravenell J, et al. Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City. Geospat Health. 2015;11(2):164–73.

    Google Scholar 

  108. Duncan DT, Chaix B, Regan SD, Park SH, Draper C, Goedel WC, et al. Collecting mobility data with GPS methods to understand the HIV environmental riskscape among young black men who have sex with men: a multi-city feasibility study in the deep south. AIDS Behav. 2018;22(9):3057–70.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Zenk SN, Schulz AJ, Odoms-Young AM, Wilbur J, Matthews S, Gamboa C, et al. Feasibility of using global positioning systems (GPS) with diverse urban adults: before and after data on perceived acceptability, barriers, and ease of use. J Phys Act Health. 2012;9(7):924–34.

    Article  PubMed  Google Scholar 

  110. Herbst JH, Jacobs ED, Finlayson TJ, McKleroy VS, Neumann MS, Crepaz N, et al. Estimating HIV prevalence and risk behaviors of transgender persons in the United States: a systematic review. AIDS Behav. 2008;12(1):1–17.

    Article  PubMed  Google Scholar 

  111. Schmidt NM, Nguyen QC, Osypuk TL. Experimental and quasi-experimental designs in neighborhood health effects research: neighborhoods and health. Oxford: Oxford University Press; 2018.

    Book  Google Scholar 

  112. Fauci AS, Redfield RR, Sigounas G, Weahkee MD, Giroir BP. Ending the HIV epidemic: a plan for the United States. JAMA. 2019;321(9):844–5.

    Article  PubMed  Google Scholar 

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Acknowledgments

Dr. Dustin Duncan was supported in part by grants from the National Institute on Minority Health and Health Disparities (Grant Number R01MD013554), National Institute on Mental Health (Grant Number R01MH112406), National Institute on Drug Abuse (Grant Number R03DA039748), and the Centers for Disease Control and Prevention (Grant Number U01PS005122). We thank John Francois for contributing to the literature review for this chapter.

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Duncan, D.T., Kim, B., Al-Ajlouni, Y.A., Callander, D. (2021). Neighborhood-Level Structural Factors, HIV, and Communities of Color. In: Ojikutu, B., Stone, V. (eds) HIV in US Communities of Color. Springer, Cham. https://doi.org/10.1007/978-3-030-48744-7_9

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