IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i4p3937-3955d34907.html
   My bibliography  Save this article

Spatial Analysis of HIV Positive Injection Drug Users in San Francisco, 1987 to 2005

Author

Listed:
  • Alexis N. Martinez

    (Department of Sociology and Sexuality Studies, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA)

  • Lee R. Mobley

    (School of Public Health and Andrew Young School of Policy Studies, Georgia State University, P.O. Box 3982, 1 Park Place, Atlanta, GA 30303, USA)

  • Jennifer Lorvick

    (Urban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA)

  • Scott P. Novak

    (Urban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA)

  • Andrea M. Lopez

    (Urban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA)

  • Alex H. Kral

    (Urban Health Program, RTI International, 351 California Street, Suite 500, San Francisco, CA 94104, USA)

Abstract

Spatial analyses of HIV/AIDS related outcomes are growing in popularity as a tool to understand geographic changes in the epidemic and inform the effectiveness of community-based prevention and treatment programs. The Urban Health Study was a serial, cross-sectional epidemiological study of injection drug users (IDUs) in San Francisco between 1987 and 2005 (N = 29,914). HIV testing was conducted for every participant. Participant residence was geocoded to the level of the United States Census tract for every observation in dataset. Local indicator of spatial autocorrelation (LISA) tests were used to identify univariate and bivariate Census tract clusters of HIV positive IDUs in two time periods. We further compared three tract level characteristics (% poverty, % African Americans, and % unemployment) across areas of clustered and non-clustered tracts. We identified significant spatial clustering of high numbers of HIV positive IDUs in the early period (1987–1995) and late period (1996–2005). We found significant bivariate clusters of Census tracts where HIV positive IDUs and tract level poverty were above average compared to the surrounding areas. Our data suggest that poverty, rather than race, was an important neighborhood characteristic associated with the spatial distribution of HIV in SF and its spatial diffusion over time.

Suggested Citation

  • Alexis N. Martinez & Lee R. Mobley & Jennifer Lorvick & Scott P. Novak & Andrea M. Lopez & Alex H. Kral, 2014. "Spatial Analysis of HIV Positive Injection Drug Users in San Francisco, 1987 to 2005," IJERPH, MDPI, vol. 11(4), pages 1-19, April.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:4:p:3937-3955:d:34907
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/4/3937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/4/3937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    2. Rhodes, Tim & Singer, Merrill & Bourgois, Philippe & Friedman, Samuel R. & Strathdee, Steffanie A., 2005. "The social structural production of HIV risk among injecting drug users," Social Science & Medicine, Elsevier, vol. 61(5), pages 1026-1044, September.
    3. Wallace, Robert G., 2003. "AIDS in the HAART era: New York's heterogeneous geography," Social Science & Medicine, Elsevier, vol. 56(6), pages 1155-1171, March.
    4. Wood, Evan & Chan, Keith & Montaner, Julio S. G. & Schechter, Martin T. & Tyndall, Mark & O'Shaughnessy, Michael V. & Hogg, Robert S., 2000. "The end of the line: has rapid transit contributed to the spatial diffusion of HIV in one of Canada's largest metropolitan areas?," Social Science & Medicine, Elsevier, vol. 51(5), pages 741-748, September.
    5. Abhishek Singh & Praveen Kumar Pathak & Rajesh Kumar Chauhan & William Pan, 2011. "Infant and Child Mortality in India in the Last Two Decades: A Geospatial Analysis," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-19, November.
    6. Arnold, Michael & Hsu, Ling & Pipkin, Sharon & McFarland, Willi & Rutherford, George W., 2009. "Race, place and AIDS: The role of socioeconomic context on racial disparities in treatment and survival in San Francisco," Social Science & Medicine, Elsevier, vol. 69(1), pages 121-128, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2021. "Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 629-642, June.
    2. María Ayuda & Fernando Collantes & Vicente Pinilla, 2010. "From locational fundamentals to increasing returns: the spatial concentration of population in Spain, 1787–2000," Journal of Geographical Systems, Springer, vol. 12(1), pages 25-50, March.
    3. Ruaa Al Juboori & Divya S. Subramaniam & Leslie Hinyard & J. S. Onésimo Sandoval, 2023. "Unveiling Spatial Associations between COVID-19 Severe Health Index, Racial/Ethnic Composition, and Community Factors in the United States," IJERPH, MDPI, vol. 20(17), pages 1-17, August.
    4. Junming Li & Meijun Jin & Honglin Li, 2019. "Exploring Spatial Influence of Remotely Sensed PM 2.5 Concentration Using a Developed Deep Convolutional Neural Network Model," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    5. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    6. Pede, Valerien O. & Florax, Raymond J.G.M. & Holt, Matthew T., 2009. "A Spatial Econometric Star Model With An Application To U.S. County Economic Growth, 1969–2003," Working papers 48117, Purdue University, Department of Agricultural Economics.
    7. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    8. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    9. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    10. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    11. Fast, Danya & Small, Will & Wood, Evan & Kerr, Thomas, 2009. "Coming 'down here': Young people's reflections on becoming entrenched in a local drug scene," Social Science & Medicine, Elsevier, vol. 69(8), pages 1204-1210, October.
    12. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    13. Eveline Van Leeuwen & Sandy Dall'erba, 2000. "Does Agricultural Employment Benefit From EU Support?," Regional and Urban Modeling 283600099, EcoMod.
    14. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    15. Cassette, Aurélie & Paty, Sonia, 2006. "La concurrence fiscale entre communes est-elle plus intense en milieu urbain qu’en milieu rural ?," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 78.
    16. Vassilis Tselios, 2008. "Income and educational inequalities in the regions of the European Union: Geographical spillovers under welfare state restrictions," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 403-430, August.
    17. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    18. Ahsan, Md Nazmul & Maharaj, Riddhi, 2018. "Parental human capital and child health at birth in India," Economics & Human Biology, Elsevier, vol. 30(C), pages 130-149.
    19. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    20. Arnold, Michael & Hsu, Ling & Pipkin, Sharon & McFarland, Willi & Rutherford, George W., 2009. "Race, place and AIDS: The role of socioeconomic context on racial disparities in treatment and survival in San Francisco," Social Science & Medicine, Elsevier, vol. 69(1), pages 121-128, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:4:p:3937-3955:d:34907. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.