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Original Articles

Determinants of the risk of dying of HIV/AIDS in a rural South African community over the period of the decentralised roll-out of antiretroviral therapy: a longitudinal study

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Article: 24826 | Received 01 May 2014, Accepted 23 Oct 2014, Published online: 20 Nov 2014

References

  • UNAIDS. AIDS Info. 2013. Available from: http://www.unaids.org/en/dataanalysis/datatools/aidsinfo/ [cited 12 November 2014]..
  • Bor J, Herbst AJ, Newell M-L, Bärnighausen T. Increases in adult life expectancy in rural South Africa: valuing the scale-up of HIV treatment. Science. 2013; 339: 961–5.
  • Reniers G, Arayad T, Davey G, Nagelkerkee N, Berhane Y, Coutinho T, etal. Steep declines in population-level AIDS mortality following the introduction of antiretroviral therapy in Addis Ababa, Ethiopia. AIDS. 2009; 23: 511–18.
  • Floyd S, Molesworth A, Dube A, Banda E, Jahn A, Mwafulirwa C, etal. Population-level reduction in adult mortality after extension of free anti-retroviral therapy provision into rural areas in northern Malawi. PLoS One. 2010; 5: e13499.
  • UNAIDS. JUNPoHA: the GAP report 2014. 2014. Available from: http://www.unaids.org/en/media/unaids/contentassets/documents/unaidspublication/2014/UNAIDS_Gap_report_en.pdf [cited 12 November 2014]..
  • Tanser F, Barnighausen T, Cooke GS, Newell ML. Localized spatial clustering of HIV infections in a widely disseminated rural South African epidemic. Int J Epidemiol. 2009; 38: 1008–16.
  • Kleinschmidt I, Pettifor A, Morris N, MacPhail C, Rees H. Geographic distribution of human immunodeficiency virus in South Africa. Am J Trop Med Hyg. 2007; 77: 1163–9. [PubMed Abstract] [PubMed CentralFull Text].
  • Wand H, Whitaker C, Ramjee G. Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa. Int J Health Geogr. 2011; 10: 28.
  • Wand H, Ramjee G. Targeting the hotspots: investigating spatial and demographic variations in HIV infection in small communities in South Africa. J Int AIDS Soc. 2010; 13: 41.
  • Ramjee G, Wand H. Geographical clustering of high risk sexual behaviors in “hot-spots” for HIV and sexually transmitted infections in Kwazulu-Natal, South Africa. AIDS Behav. 2014; 18: 317–22.
  • Beyrer C, Baral SD, Weir BW, Curran JW, Chaisson RE, Sullivan PS. A call to action for concentrated HIV epidemics. Curr Opin HIV AIDS. 2014; 9: 95–100.
  • Tanser F, de Oliveira T, Maheu-Giroux M, Barnighausen T. Concentrated HIV subepidemics in generalized epidemic settings. Curr Opin HIV AIDS. 2014; 9: 115–25.
  • Guagliardo MF. Spatial accessibility of primary care: concepts, methods and challenges. Int J Health Geogr. 2004; 3: 3.
  • Houben RM, Van Boeckel TP, Mwinuka V, Mzumara P, Branson K, Linard C, etal. Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa-methods and results in Northern Malawi. Int J Health Geogr. 2012; 11: 49.
  • Schoeps A, Gabrysch S, Niamba L, Sié A, Becher H. The effect of distance to health-care facilities on childhood mortality in rural Burkina Faso. Am J Epidemiol. 2011; 173: 492–8.
  • Mee P, Collinson MA, Madhavan S, Root ED, Tollman SM, Byass P, etal. Evidence for localised HIV related micro–epidemics associated with the decentralised provision of antiretroviral treatment in rural South Africa: a spatio–temporal analysis of changing mortality patterns (2007–2010). J Glob Health. 2014; 4: 010403.
  • Polzer Ngwato T. Together apart: migration, integration and spatialised identities in South African border villages. Geoforum. 2012; 43: 561–72.
  • Hargrove J. Migration, mines and mores: the HIV epidemic in Southern Africa. S Afr J Sci. 2008; 104: 53–61.
  • Marks S. An epidemic waiting to happen? The spread of HIV/AIDS in South Africa in social and historical perspective. Afr Stud. 2002; 61: 13–26.
  • Zwi AB, Cabral AJR. Identifying “high risk situations” for preventing AIDS. BMJ. 1991; 303: 1527–9.
  • Cooke G, Tanser F, Bärnighausen T, Newell M-L. Population uptake of antiretroviral treatment through primary care in rural South Africa. BMC Public Health. 2010; 10: 585.
  • Zachariah R, Harries AD, Manzi M, Gomani P, Teck R, Firmenich P. Acceptance of anti-retroviral therapy among patients infected with HIV and tuberculosis in rural Malawi is low and associated with cost of transport. PLoS One. 2006; 1: e121.
  • Kunihira N, Nuwaha F, Mayanja R, Peterson S. Barriers to use of antiretroviral drugs in Rakai district of Uganda. Afr Health Sci. 2010; 10: 120–9. [PubMed Abstract] [PubMed CentralFull Text].
  • Sartorius B, Kahn K, Collinson MA, Sartorius K, Tollman SM. Dying in their prime: determinants and space-time risk of adult mortality in rural South Africa. Geospat Health. 2013; 7: 237–49. [PubMed Abstract] [PubMed CentralFull Text].
  • Musenge E, Vounatsou P, Kahn K. Space-time confounding adjusted determinants of child HIV/TB mortality for large zero-inflated data in rural South Africa. Spat Spatiotemporal Epidemiol. 2011; 2: 205–17.
  • Musenge E, Chirwa TF, Kahn K, Vounatsou P. Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: applied to data observed between 1992 and 2010 in rural North East South Africa. Int J Appl Earth Obs Geoinf. 2013; 22: 86–98.
  • Clark SJ, Collinson MA, Kahn K, Drullinger K, Tollman SM. Returning home to die: circular labour migration and mortality in South Africa. Scand J Public Health Suppl. 2007; 69: 35–44.
  • Gerritsen A, Bocquier P, White M, Mbacke C, Alam N, Beguy D, etal. Health and demographic surveillance systems: contributing to an understanding of the dynamics in migration and health. Glob Health Action. 2013; 6 21496, doi: http://dx.doi.org/10.3402/gha.v6i0.21496 .
  • Welaga P, Hosegood V, Weiner R, Hill C, Herbst K, Newell M-L. Coming home to die? The association between migration and mortality in rural South Africa. BMC Public Health. 2009; 9: 193.
  • Collinson MA. Striving against adversity: the dynamics of migration, health and poverty in rural South Africa. Glob Health Action. 2010; 3 5080, doi: http://dx.doi.org/10.3402/gha.v3i0.5080 .
  • Collinson MA, White MJ, Bocquier P, McGarvey ST, Afolabi SA, Clark SJ, etal. Migration and the epidemiological transition: insights from the Agincourt sub-district of northeast South Africa. Glob Health Action. 2014; 7 23514, doi: http://dx.doi.org/10.3402/gha.v7.23514 .
  • Coffee M, Lurie MN, Garnett GP. Modelling the impact of migration on the HIV epidemic in South Africa. AIDS. 2007; 21: 343–50.
  • Crush J, Williams B, Gouws E, Lurie M. Migration and HIV/AIDS in South Africa. Dev South Afr. 2005; 22: 293–318.
  • Vearey J. Healthy migration: a public health and development imperative for South(ern) Africa. South Afr Med J. 2014; 104: 663.
  • Hargreaves JR, Davey C, White RG. Does the ‘inverse equity hypothesis’ explain how both poverty and wealth can be associated with HIV prevalence in sub-Saharan Africa?. J Epidemiol Community Health. 2013; 67: 526–9.
  • Whiteside A. Poverty and HIV/AIDS in Africa. Third World Q. 2002; 23: 313–32.
  • Fox AM, Barham B, Boucher S, Barnett T, Whiteside A, Decosas J, etal. The HIV-poverty thesis re-examined: poverty, wealth or inequality as a social determinant of HIV infection in sub-Saharan Africa?. J Biosoc Sci. 2012; 44: 459.
  • Hargreaves JR, Bonell CP, Boler T, Boccia D, Birdthistle I, Fletcher A, etal. Systematic review exploring time trends in the association between educational attainment and risk of HIV infection in sub-Saharan Africa. AIDS. 2008; 22: 403–14.
  • Hargreaves JR, Collinson MA, Kahn K, Clark SJ, Tollman SM. Childhood mortality among former Mozambican refugees and their hosts in rural South Africa. Int J Epidemiol. 2004; 33: 1271–8.
  • Sartorius K, Sartorius B, Tollman S, Schatz E, Kirsten J, Collinson M. Rural poverty dynamics and refugee communities in South Africa: a spatial–temporal model. Popul Space Place. 2013; 19: 103–23.
  • Kahn K, Collinson M, Gómez-Olivé F, Mokoena O, Twine R, Mee P, etal. Profile: Agincourt health and socio-demographic surveillance system. Int J Epidemiol. 2012; 41: 988–1001.
  • Kahn K, Tollman SM, Collinson MA, Clark SJ, Twine R, Clark BD, etal. Research into health, population and social transitions in rural South Africa: data and methods of the Agincourt Health and Demographic Surveillance System 1. Scand J Public Health. 2007; 35: 8–20.
  • Benzler J, Herbst K, MacLeod B. A data model for demographic surveillance systems. 1998. Available from: http://www.researchgate.net/publication/228705686_A_data_model_for_demographic_surveillance_systems/file/79e41507fa27b71c7f.pdf [cited 12 November 2014]..
  • Gómez-Olivé FX, Angotti N, Houle B, Klipstein-Grobusch K, Kabudula C, Menken J, etal. Prevalence of HIV among those 15 and older in rural South Africa. AIDS Care. 2013; 25: 1122–8.
  • Byass P, Chandramohan D, Clark SJ, D'Ambruoso L, Fottrell E, Graham WJ, etal. Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Glob Health Action. 2012; 5 19281, doi: http://dx.doi.org/10.3402/gha.v5i0.19281 .
  • WHO. Verbal autopsy standards: the 2012 WHO verbal autopsy instrument. 2012; Geneva: World Health Organization.
  • Kahn K, Tollman SM, Garenne M, Gear JS. Validation and application of verbal autopsies in a rural area of South Africa. Trop Med Int Health. 2000; 5: 824–31.
  • Winkler WE. Overview of record linkage and current research directions. 2006. Research Report. Washington, DC: US Bureau of the Census.
  • Byass P, Calvert C, Miiro-Nakiyingi J, Lutalo T, Michael D, Crampin A, etal. InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries. Glob Health Action. 2013; 6 22448, doi: http://dx.doi.org/10.3402/gha.v6i0.22448 .
  • Abdool Karim SS, Churchyard GJ, Abdool Karim Q, Lawn SD. HIV infection and tuberculosis in South Africa: an urgent need to escalate the public health response. Lancet. 2009; 374: 921–33.
  • Environmental Systems Research Institute Redlands California. ArcGIS desktop release 10. Environmental Systems Research Institute, Redlands, California, USA. 2011
  • Collinson M, Gerritsen A, Clark S, Kahn K, Tollman S. Collinson M, Adazu K, White M, Findley S. Migration and socio-economic change in rural South Africa, 2000–2007. 2009; Aldershot: Ashgate. 81–208. The dynamics of migration, health and livelihoods: INDEPTH network perspectives.
  • Stata Corporation. Stata Version 10 IC. 2009; College Station, TX: Stata Corporation.
  • Welch BL. The generalization of student's problem when several different population variances are involved. Biometrika. 1947; 34: 28–35. [PubMed Abstract].
  • Pearson K. X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Lond Edinburg Dublin Philos Mag J Sci. 1900; 50: 157–75.
  • Cesar CC, Palloni A, Rafalimanana H. Analysis of child mortality with clustered data: a review of alternative models and procedures. 1997. Working paper center for demography and ecology, University of Wisconsin-Madison, Madison USA.
  • Cameron AC, Trivedi PK. Regression analysis of count data. 2013; Cambridge, UK: Cambridge University Press.
  • Statistics South Africa. 2013; Pretoria: Statistics South Africa. Mortality and causes of death in South Africa, 2010: findings from death notification..
  • Slaymaker E, Todd J, Marston M, Calvert C, Michael D, Nakiyingi-Miiro J, etal. How have ART treatment programmes changed the patterns of excess mortality in people living with HIV? Estimates from four countries in East and Southern Africa. Glob Health Action. 2014; 7 22789, doi: http://dx.doi.org/10.3402/gha.v7.22789 .
  • Decroo T, Panunzi I, das Dores C, Maldonado F, Biot M, Ford N, etal. Lessons learned during down referral of antiretroviral treatment in Tete, Mozambique. J Int AIDS Soc. 2009; 12: 6.
  • Gabrysch S, Edwards T, Glynn JR. The role of context: neighbourhood characteristics strongly influence HIV risk in young women in Ndola, Zambia. Trop Med Int Health. 2008; 13: 162–70.
  • Kadobera D, Sartorius B, Masanja H, Mathew A, Waiswa P. The effect of distance to formal health facility on childhood mortality in rural Tanzania, 2005–2007. Glob Health Action. 2012; 5 19099, doi: http://dx.doi.org/10.3402/gha.v5i0.19099 .
  • Baylies C. The impact of AIDS on rural households in Africa: a shock like any other?. Dev Change. 2002; 33: 611–32.
  • Twine W, Hunter L. Adult mortality and household food security in rural South Africa: does AIDS represent a unique mortality shock?. Dev South Afr. 2011; 28: 431–44.
  • Howe LD, Galobardes B, Matijasevich A, Gordon D, Johnston D, Onwujekwe O, etal. Measuring socio-economic position for epidemiological studies in low-and middle-income countries: a methods of measurement in epidemiology paper. Int J Epidemiol. 2012; 41: 871–86.
  • Hargreaves J, Morison L, Kim J, Bonell C, Porter J, Watts C, etal. The association between school attendance, HIV infection and sexual behaviour among young people in rural South Africa. J Epidemiol Community Health. 2008; 62: 113–19.
  • Pettifor AE, Levandowski BA, MacPhail C, Padian NS, Cohen MS, Rees HV. Keep them in school: the importance of education as a protective factor against HIV infection among young South African women. Int J Epidemiol. 2008; 37: 1266–73.
  • Bärnighausen T, Hosegood V, Timaeus IM, Newell M-L. The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa. AIDS. 2007; 21: S29–S38.
  • Fox AM. The HIV–poverty thesis re-examined: poverty, wealth or inequality as a social determinant of HIV infection in sub-Saharan Africa?. J Biosoc Sci. 2012; 44: 459–80.
  • Mishra V, Bignami-Van Assche S, Greener R, Vaessen M, Hong R, Ghys PD, etal. HIV infection does not disproportionately affect the poorer in sub-Saharan Africa. AIDS. 2007; 21: S17–S28.