https://doi.org/10.4081/gh.2020.790
Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005-2015
Submitted: 6 August 2019
Accepted: 6 March 2020
Published: 15 June 2020
Accepted: 6 March 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Spatiotemporal analyses can support Human Immuno-deficiency Virus (HIV) prevention programmes by identifying locations of at-risk populations in space and time, and their proximity to HIV testing and prevention services. We assessed residential proximity to HIV testing venues for Men who have Sex with Men (MSM) and Transgender Women (TGW) attending Voluntary Counselling and Testing (VCT) at a large urban MSM clinic in Bangkok, Thailand in the period 2005-2015. We mapped clientprovided spatial data and HIV testing venues, calculating distance from residence to venues for VCT clients between i) September 2005-December 2009; ii) January 2010-September 2013; and iii) October 2013-May 2015. We assessed spatial characteristics across times, evaluating autocorrelation of HIV prevalence and visit density using Moran's I. Among 8,758 first-time VCT clients reporting geographic information from 2005-2015 (by period: 2737, 3917, 2104), 1329 (15.2%) lived in postal codes ‰¤5 km from the clinic. Over time, the proportion living in areas covered by Bangkok postal codes ‰¤2 km from any MSM HIV testing venue increased from 12.6% to 41.0% (p<0.01). The proportion living ‰¤5 km from the clinic decreased from 16.6% to 13.0% (p<0.01). HIV prevalence and clinic visit density demonstrated statistically significant non-random spatial patterning. Significant non-random patterning of prevalent infection and client visits highlighted Bangkok's urban HIV epidemic, clinic proximity to clients, and geographic reach. Clients lived closer to testing venues, yet farther from the urban MSM clinic, over time. Spatiotemporal characteristics of VCT clients can help assess service accessibility and guide targeted prevention planning.
Beyrer C, Baral SD, van Griensven F, Goodreau SM, Chariyalertsak S, Wirtz AL, Brookmeyer R, 2012. Global epidemiology of HIV infection in men who have sex with men. Lancet. 380(9839), 367-77.
UNAIDS. UNAIDS Data 2018. Geneva, Switzerland; 2018. http://www.unaids.org/sites/default/files/media_asset/unaids-data-2018_en.pdf.
van Griensven F, Thienkrua W, McNicholl J, et al. Evidence of an explosive epidemic of HIV infection in a cohort of men who have sex with men in Thailand. AIDS. 2013;27(5):825-832.
DOI: https://doi.org/10.1097/QAD.0b013e32835c546e
Sullivan PS, Beyrer C. HIV in Thai men who have sex with men: a sustained emergency. Lancet HIV. 2015;2(2):e38-9.
DOI: https://doi.org/10.1016/S2352-3018(14)00060-5
World Health Organization. Consolidated guidelines on HIV prevention, diagnosis, treatment, and care for key populations. 2014. http://apps.who.int/iris/bitstream/10665/128048/1/9789241507431_eng.pdf?ua=1&ua=1. Accessed June 4, 2017.
Guadamuz TE, Cheung DH, Wei C, Koe S, Lim SH. Young, online and in the dark: Scaling up HIV testing among MSM in ASEAN. PLoS One. 2015;10(5):e0126658.
DOI: https://doi.org/10.1371/journal.pone.0126658
Anselin L, Syabri I, Kho Y. GeoDa: An Introduction to Spatial Data Analysis. In: Handbook of Applied Spatial Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg; 2010:73-89.
DOI: https://doi.org/10.1007/978-3-642-03647-7_5
Yao J, Agadjanian V, Murray AT. Spatial and social inequities in HIV testing utilization in the context of rapid scale-up of HIV/AIDS services in rural Mozambique. Health Place. 2014;28:133-141.
DOI: https://doi.org/10.1016/j.healthplace.2014.04.007
Hixson BA, Omer SB, del Rio C, Frew PM. Spatial clustering of HIV prevalence in Atlanta, Georgia and population characteristics associated with case concentrations. J Urban Health. 2011;88(1):129-141.
DOI: https://doi.org/10.1007/s11524-010-9510-0
Torugsa K, Anderson S, Thongsen N, et al. HIV epidemic among young Thai men, 1991-2000. Emerg Infect Dis. 2003;9(7):881-883.
DOI: https://doi.org/10.3201/eid0907.020653
Sirisopana N, Torugsa K, Mason CJ, et al. Correlates of HIV-1 seropositivity among young men in Thailand. J Acquir Immune Defic Syndr Hum Retrovirology. 1996;11(5):492-498.
DOI: https://doi.org/10.1097/00042560-199604150-00010
Del Casino VJ. Healthier geographies: Mediating the gaps between the needs of people living with HIV and AIDS and health care in Chiang Mai, Thailand. Prof Geogr. 2001;53(3):407-421.
DOI: https://doi.org/10.1111/0033-0124.00294
Jongsthapongpanth A, Bagchi-Sen S. The context and impact of HIV and AIDS in Chiang Rai, Thailand: A study of youth and young adults. Ann Assoc Am Geogr. 2010;100(1):30-56.
DOI: https://doi.org/10.1080/00045600903364176
Holtz TH, Thienkrua W, McNicholl JM, et al. Prevalence of Treponema pallidum seropositivity and herpes simplex virus type 2 infection in a cohort of men who have sex with men, Bangkok, Thailand, 2006-2010. Int J STD AIDS. 2012;23(6):424-428.
DOI: https://doi.org/10.1258/ijsa.2011.011256
van Griensven F, Holtz TH, Thienkrua W, et al. Temporal trends in HIV-1 incidence and risk behaviours in men who have sex with men in Bangkok, Thailand, 2006-13: an observational study. Lancet HIV. 2015;2(2):e64-70.
DOI: https://doi.org/10.1016/S2352-3018(14)00031-9
National AIDS Committee. Thailand: Ending AIDS 2015: Global AIDS Response Progress Report.; 2015. http://www.unaids.org/sites/default/files/country/documents/THA_narrative_report_2015.pdf.
Amirkhanian YA. Social networks, sexual networks and HIV risk in men who have sex with men. Curr HIV/AIDS Rep. 2014;11(1):81-92.
DOI: https://doi.org/10.1007/s11904-013-0194-4
Khumalo-Sakutukwa G, Morin SF, Fritz K, et al. Project Accept (HPTN 043): a community-based intervention to reduce HIV incidence in populations at risk for HIV in sub-Saharan Africa and Thailand. J Acquir Immune Defic Syndr. 2008;49(4):422-431.
DOI: https://doi.org/10.1097/QAI.0b013e31818a6cb5
Kawichai S, Celentano D, Srithanaviboonchai K, et al. NIMH Project Accept (HPTN 043) HIV/AIDS Community mobilization (CM) to promote mobile HIV voluntary counseling and testing (MVCT) in rural communities in Northern Thailand: Modifications by experience. AIDS Behav. 2012;16(5):1227-1237.
DOI: https://doi.org/10.1007/s10461-011-0099-4
Goswami N, Schmitz M, Sanchez T, et al. Understanding local spatial variation along the care continuum: The potential impact of transportation vulnerability on HIV linkage to care and viral suppression in high-poverty areas, Atlanta, Georgia. JAIDS. 2016;72(1):65-72.
DOI: https://doi.org/10.1097/QAI.0000000000000914
Baral S, Holland CE, Shannon K, et al. Enhancing benefits or increasing harms: community responses for HIV among men who have sex with men, transgender women, female sex workers, and people who inject drugs. JAIDS J Acquir Immune Defic Syndr. 2014;66:S319-S328.
DOI: https://doi.org/10.1097/QAI.0000000000000233
Adam PCG, de Wit JBF, Toskin I, et al. Estimating levels of HIV testing, HIV prevention coverage, HIV knowledge, and condom use among men who have sex with men (MSM) in low-income and middle-income countries. J Acquir Immune Defic Syndr. 2009;52 Suppl 2:S143-51.
DOI: https://doi.org/10.1097/QAI.0b013e3181baf111
Wand H, Ramjee G. Spatial clustering of “measuredâ€; and “unmeasured†risk factors for HIV infections in hyper-endemic communities in KwaZulu-Natal, South Africa: results from geoadditive models. AIDS Care. 2015;27(11):1375-1381.
DOI: https://doi.org/10.1080/09540121.2015.1096896
Zulu LC, Kalipeni E, Johannes E. Analyzing spatial clustering and the spatiotemporal nature and trends of HIV/AIDS prevalence using GIS: the case of Malawi, 1994-2010. BMC Infect Dis. 2014;14:285.
DOI: https://doi.org/10.1186/1471-2334-14-285
Qin Q, Guo W, Tang W, et al. Spatial analysis of the human immunodeficiency virus epidemic among men who have sex with men in China, 2006–2015. Clin Infect Dis. 2017;64(7):956-963.
DOI: https://doi.org/10.1093/cid/cix031
Piantadosi S, Byar DP, Green SB. The ecological fallacy. Am J Epidemiol. 1988;127(5):893-904.
DOI: https://doi.org/10.1093/oxfordjournals.aje.a114892
Grubesic TH, Matisziw TC. On the use of ZIP Codes and ZIP Code Tabulation Areas (ZCTAs) for the spatial analysis of epidemiological data. Int J Health Geogr. 2006;5:58.
DOI: https://doi.org/10.1186/1476-072X-5-58
Kelly C, Hulme C, Farragher T, Clarke G. Are differences in travel time or distance to healthcare for adults in global north countries associated with an impact on health outcomes? A systematic review. BMJ Open. 2016;6(11):e013059. doi:10.1136/bmjopen-2016-013059.
DOI: https://doi.org/10.1136/bmjopen-2016-013059
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 Heal Surveill. 2019;5(1):e12405. doi:10.2196/12405.
DOI: https://doi.org/10.2196/12405
Bilinski A, Birru E, Peckarsky M, et al. Distance to care, enrollment and loss to follow-up of HIV patients during decentralization of antiretroviral therapy in Neno District, Malawi: A retrospective cohort study. Anglewicz P, ed. PLoS One. 2017;12(10):e0185699. doi:10.1371/journal.pone.0185699.
DOI: https://doi.org/10.1371/journal.pone.0185699
Supporting Agencies
Centers for Disease Control and Prevention, Thailand Ministry of Public HealthHow to Cite
Weiss, K., Karuchit, S., Pattanasin, S., Chitwarakorn, A., Wimonsate, W., Suksamosorn, J., Visavakum, P., Sukwicha, W., Ungsedhapand, C., Dunne, E. F., & Holtz, T. H. (2020). Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005-2015. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.790
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