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Millennium development goal 6 and HIV infection in Zambia : what can we learn from successive household surveys?

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Kandala, Ngianga-Bakwin, Brodish, Paul, Buckner, Bates, Foster, Susan (Susan D.) and Madise, Nyovani. (2011) Millennium development goal 6 and HIV infection in Zambia : what can we learn from successive household surveys? Aids, Vol.25 (No.1). pp. 95-106. ISSN 0269-9370

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Official URL: http://dx.doi.org/10.1097/QAD.0b013e328340fe0f

Abstract

Background: Geographic location represents an ecological measure of HIV status and is a strong predictor of HIV prevalence. Given the complex nature of location effects, there is limited understanding of their impact on policies to reduce HIV prevalence. Methods: Participants were 3949 and 10 874 respondents from two consecutive Zambia Demographic and Health Surveys from 2001/2007 (mean age for men and women: 30.3 and 27.7 years, HIV prevalence 14.3% in 2001/2002; 30.3 and 28.0 years, HIV prevalence of 14.7% in 2007). A Bayesian geo-additive mixed model based on Markov Chain Monte Carlo techniques was used to map the change in the spatial distribution of HIV/AIDS prevalence at the provincial level during the 6-year period, accounting for important risk factors. Results: Overall HIV/AIDS prevalence changed little over the 6-year period, but the mapping of residual spatial effects at the provincial level suggested different regional patterns. A pronounced change in odds ratios in Lusaka and Copperbelt provinces in 2001/2002 and in Lusaka and Central provinces in 2007 was observed following adjustment for spatial autocorrelation. Western province went from a lower prevalence area in 2001 (13.4%) to a higher prevalence area in 2007 (17.3%). Southern province went from the highest prevalence area in 2001 (17.3%) to a lower prevalence area in 2007 (15.9%). Conclusion: Findings from two consecutive surveys corroborate the Zambian government's effort to achieve Millennium Developing Goal (MDG) 6. The novel finding of increased prevalence in Western province warrants further investigation. Spatially adjusted provincial-level HIV/AIDS prevalence maps are a useful tool for informing policies to achieve MDG 6 in Zambia. (C) 2011 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins

Item Type: Journal Article
Subjects: R Medicine > RA Public aspects of medicine
Divisions: Faculty of Medicine > Warwick Medical School > Clinical Sciences Research Institute (CSRI)
Faculty of Medicine > Warwick Medical School > Health Sciences
Faculty of Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): HIV infections -- Zambia, Medical geography -- Zambia, Medical policy -- Zambia
Journal or Publication Title: Aids
Publisher: Lippincott Williams & Wilkins
ISSN: 0269-9370
Date: 2 January 2011
Volume: Vol.25
Number: No.1
Number of Pages: 12
Page Range: pp. 95-106
Identification Number: 10.1097/QAD.0b013e328340fe0f
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
References: 1. Gouws E, P J White, J Stover, T Brown. (2006). Short term estimates of adult HIV incidence by mode of transmission: Kenya and Thailand as examples. Sex Transm Infect 2006;82. 2. WHO (2005 ). Ministry of Public Health Thailand, World Health Organization Regional Office for South-East Asia. External review of the health sector response to HIV/AIDS in Thailand. India: WHO; 2005. Link to report. 3. Central Statistical Office [Zambia], Central Board of Health [Zambia], and ORC Macro. Zambia Demographic and Health Survey 2001–2. Calverton, Maryland. USA: Central Statistical Office, Central Board of Health and ORC Macro, 2003. 4. Central Statistical Office (CSO), Ministry of Health (MOH), Tropical Diseases Research Centre (TDRC), University of Zambia, and Macro International Inc. 2009. Zambia Demographic and Health Survey 2007. Calverton, Maryland, USA: CSO and Macro International Inc. 5. Kandala, N-B., Ji, C., Cappuccio, P. F. and Stones, R. W. (2008). The epidemiology of HIV infection in Zambia, AIDS Care, 20:7, 812 -819. 6. Garbus, L. (2003). HIV/AIDS in Zambia. AIDS Policy Research Center, University of California San Francisco. 7. National HIV/AIDS/STI/TB Council (2010). Policy Overview and Status of the AIDS Epidemic in Zambia. (Lecture by NAC Director General). 8. Global HIV/AIDS Initiatives Network (2009). Funding and Scale-up of HIV/AIDS Services in Zambia, Policy Brief Global HIV/AIDS Initiatives Network, October 2009. Available: http://www.ghinet.org/downloads/Zambia_policybrief_scalingup.pdf. Accessed June 1, 2010. 9. USAID Zambia Mission (2010). Available: http://www.usaid.gov/zm/hiv/hiv.htm. Accessed June 1, 2010. 10. Inter Press Service (IPS, 2003) Health Zambia. People Living With HIV/AIDS Find Drugs Elusive. Available: http://ipsnews.net/news.asp?idnews=21086. Accessed June 1, 2010. 11. Fahrmeir L, Lang S., 2001. Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Applied Statistics (JRSS C). 50: 201-220. 12. Central Statistical Office (CSO), Ministry of Health (MOH), University of Zambia, and MEASURE Evaluation. 2010. Zambia Sexual Behavior Survey 2009. Lusaka, Zambia: CSO and MEASURE Evaluation. 13. UNAIDS/WHO (2010). Epidemiological Fact Sheet on HIV and AIDS, Zambia 2008 Update, UNAIDS/WHO, (New York, NY; Geneva, Switzerland), 18. 14. Biennial Report to UNGASS (2010). Distribution of new infections. Zambia Country Report: Monitoring the Declaration of Commitment on HIV and AIDS and the Universal Access, Biennial Report to UNGASS, 2010, 29. 15. Graham AC (2009). Making Prevention Work: Lessons from Zambia on Reshaping the U.S. Response to the Global HIV/AIDS Epidemic. SIECUS: Sexuality Information and Education Council of the United States. 16. U.S. State Department (2010). Office of U.S. Global AIDS Coordinator and the Bureau of Public Affairs, U.S. State Department. Available: http://www.pepfar.gov/about/122668.htm. Accessed June 1, 2010. 17. COH III Program (2009). PEPFAR Country Operational Plans - Fiscal Years 2007-2009, Zambia, p.554. 18. World Bank (2008). The World Bank’s commitment to HIV/AIDS in Africa: our agenda for action, 2007–2011. 19. World Bank (2009). Implementation completion and results report (IDA-H0170) on a grant in the amount of SDR 33.7 million (US$ 42 million equivalent) to the Republic of Zambia for the Zambia National Response to HIV/AIDS (ZANARA) project in support of the second phase of the multi-country AIDS program for Africa. Report No: ICR0000922. 20. COH II Program FHI (2010). Corridors of Hope II. Available: http://www.fhi.org/en/CountryProfiles/Zambia/res_COHII_project.htm. Also, Available: http://www.rti.org/brochures/zambia_hiv_coh2.pdf. 21. Zambian Ministry of Health report (2009). Zambia HIV Prevention, Response and Modes of Transmission Analysis. 22. Garcia-Calleja, JM., Gouws, E., Ghys, PD. (2006). National population based HIV prevalence surveys in sub-Saharan Africa: results and implications for HIV and AIDS estimates. Sex Transm Infect ; 82(Suppl III): iii64-70. 23. Afrol News (2006). Curbing HIV/AIDS along a transport corridor. May 30, 2006. Available: http://www.afrol.com/articles/19544. 24. USAID Zambia S09 Activities (2010). Available: http://www.usaid.gov/zm/maps/so_9activities.pdf. Accessed June 1, 2010. 25. Kammann EE, Wand MP, 2003. Geoadditive models. J R Stat Soc C 52: 1–18. 26. Eilers PHC, Marx BD, 1996. Flexible smoothing with B-splines and penalties (with discussion). Stat Sci 89: 89–121. 27. Spiegelhalter D, Best N, Carlin B, Van der Line A, 2002. Bayesian measures of models complexity and fit. J R Stat Soc Ser B 64: 1–34.
URI: http://wrap.warwick.ac.uk/id/eprint/4765

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