Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015

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 wi...

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Main Authors: Kevin Weiss, Samart Karuchit, Sarika Pattanasin, Anupong Chitwarakorn, Wipas Wimonsate, Jirawat Suksamosorn, Prin Visavakum, Wichuda Sukwicha, Chaiwat Ungsedhapand, Eileen F. Dunne, Timothy H. Holtz
Format: Article
Language:English
Published: PAGEPress Publications 2020-06-01
Series:Geospatial Health
Subjects:
Online Access:https://www.geospatialhealth.net/index.php/gh/article/view/790
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author Kevin Weiss
Samart Karuchit
Sarika Pattanasin
Anupong Chitwarakorn
Wipas Wimonsate
Jirawat Suksamosorn
Prin Visavakum
Wichuda Sukwicha
Chaiwat Ungsedhapand
Eileen F. Dunne
Timothy H. Holtz
author_facet Kevin Weiss
Samart Karuchit
Sarika Pattanasin
Anupong Chitwarakorn
Wipas Wimonsate
Jirawat Suksamosorn
Prin Visavakum
Wichuda Sukwicha
Chaiwat Ungsedhapand
Eileen F. Dunne
Timothy H. Holtz
author_sort Kevin Weiss
collection DOAJ
description 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.
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spelling doaj.art-b956d8d240814e75850e422128f5fbac2022-12-22T01:08:43ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962020-06-0115110.4081/gh.2020.790Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015Kevin Weiss0Samart Karuchit1Sarika Pattanasin2Anupong Chitwarakorn3Wipas Wimonsate4Jirawat Suksamosorn5Prin Visavakum6Wichuda Sukwicha7Chaiwat Ungsedhapand8Eileen F. Dunne9Timothy H. Holtz10Rollins School of Public Health, Emory University, Atlanta, GAThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, NonthaburiThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaDepartment of Disease Control, Thailand Ministry of Public Health, NonthaburiThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi; Division of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaThailand Ministry of Public Health – U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand; Division of HIV/AIDS Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GeorgiaSpatiotemporal 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.https://www.geospatialhealth.net/index.php/gh/article/view/790HIVHIV testingMSMThailandSpatial analysis
spellingShingle Kevin Weiss
Samart Karuchit
Sarika Pattanasin
Anupong Chitwarakorn
Wipas Wimonsate
Jirawat Suksamosorn
Prin Visavakum
Wichuda Sukwicha
Chaiwat Ungsedhapand
Eileen F. Dunne
Timothy H. Holtz
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
HIV
HIV testing
MSM
Thailand
Spatial analysis
title Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015
title_full Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015
title_fullStr Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015
title_full_unstemmed Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015
title_short Spatial characteristics of men who have sex with men and transgender women attending HIV voluntary counselling and testing in Bangkok, Thailand, 2005–2015
title_sort spatial characteristics of men who have sex with men and transgender women attending hiv voluntary counselling and testing in bangkok thailand 2005 2015
topic HIV
HIV testing
MSM
Thailand
Spatial analysis
url https://www.geospatialhealth.net/index.php/gh/article/view/790
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