Sexual and reproductive health and HIV in border districts affected by migration and poverty in Tanzania

REFERENCES

• Voeten H, Vissers D, Gregson S, et al. Strong association between in-migration and HIV prevalence in urban sub-Saharan Africa. Sex Transm Dis 2010;37:240–3.
   PubMed Web of Science ®Google Scholar
• Camlin C, Hosegood V, Newell M, et al. Gender, migration and HIV in rural KwaZulu-Natal, South Africa. PloS one 2010;5:e11539.
   PubMed Web of Science ®Google Scholar
• Glynn J, Ponnighaus J, Crampin A, et al. The development of the HIV epidemic in Karonga District, Malawi. AIDS 2001;15:2025–9.
   PubMed Web of Science ®Google Scholar
• Coffee M, Lurie M, Garnett G. Modelling the impact of migration on the HIV epidemic in South Africa. AIDS 2007;21:343–50.
   PubMed Web of Science ®Google Scholar
• Kwena Z, Camlin C, Shisanya C, et al. Short-term mobility and the risk of HIV infection among married couples in the fishing communities along Lake Victoria, Kenya. PloS one 2013;8:e54523.
   PubMed Web of Science ®Google Scholar
• Heffron R, Chao A, Mwinga A, et al. High prevalent and incident HIV-1 and herpes simplex virus 2 infection among male migrant and non-migrant sugar farm workers in Zambia. Sex Transm Infect 2011;87:283–8.
   PubMed Web of Science ®Google Scholar
• Camlin C, Kwena Z, Dworkin S. Jaboya vs. Jakambi: status, negotiation, and HIV risks among female migrants in the “Sex for Fish” economy in Nyanza Province, Kenya. AIDS Educ Prev 2013;25:216–31.
   PubMed Web of Science ®Google Scholar
• Ng'ayo M, Bukusi E, Rowhani-Rahbar A, et al. Epidemiology of human papillomavirus infection among fishermen along Lake Victoria Shore in the Kisumu District, Kenya. Sex Transm Infect 2008;84:62–6.
   PubMed Web of Science ®Google Scholar
• UNAIDS. What are the different epidemiological scenarios?Accessed 13 December 2013 from: http://hivpreventiontoolkit.unaids.org/support_pages/faq_diff_epi_scenarios.aspx.
   Google Scholar
• Doherty I, Padian N, Marlow C, et al. Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections. J Infect Dis 2005;191:42–54.
   PubMed Web of Science ®Google Scholar
• Tanzania Commission for AIDS (TACAIDS), Zanzibar AIDS Commission (ZAC), National Bureau of Statistics (NBS), et al. Tanzania HIV/AIDS and malaria indicator survey 2011-12. Dar es Salaam: TACAIDS, ZAC, NBS, OCGS, ICF International 2013.
   Google Scholar
• UNAIDS, World Bank. The HIV epidemic in Tanzania mainland, where we have come from, where it is going, and how are we responding? Dar es Salaam: World Bank 2008.
   Google Scholar
• Prime Minister's Office. National multisectoral HIV and AIDS stigma and discrimination strategy (2013–2017). Dar es Salaam: Prime Minister's Office, TACAIDS 2012.
   Google Scholar
• Prime Minister's Office. National multisectoral HIV prevention strategy 2009-2012. Dar es Salaam: Prime Minister's Office, TACAIDS 2009.
   Google Scholar
• Prime Minister's Office. Tanzania third national multi-sectoral strategic framework for HIV and AIDS (2013/ 14–2017/18). Dar es Salaam: Prime Minister's Office, TACAIDS 2013.
   Google Scholar
• Deane K, Parkhurst J, Johnston D. Linking migration, mobility and HIV. Trop Med Int Health 2010;15:1458–63.
   PubMed Web of Science ®Google Scholar
• Schopper D, Doussantousse S, Orav J. Sexual behaviors relevant to HIV transmission in a rural African population: How much can a KAP survey tell us? Soc Sci Med 1993;37:401–12.
   PubMed Web of Science ®Google Scholar
• Saif M. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2000;284:3043–5.
   PubMed Web of Science ®Google Scholar
• Tanzania Commission for AIDS (TACAIDS), Zanzibar AIDS Commission (ZAC), National Bureau of Statistics (NBS), et al. Tanzania HIV/AIDS and malaria indicator survey 2007-08. Dar es Salaam: TACAIDS, ZAC, NBS, OCGS, Macro International Inc. 2008.
   Google Scholar
• Dunkle K, Jewkes R, Brown H, et al. Transactional sex among women in Soweto, South Africa: prevalence, risk factors and association with HIV infection. Soc Sci Med 2004;59:1581–92.
   PubMed Web of Science ®Google Scholar
• Lincoln Y, Guba E. Naturalistic inquiry. Beverly Hills: Sage 1985:255–88.
   Google Scholar
• Marshall A, Batten S. Researching across cultures: Issues of ethics and power. Qualitative Soc Res 2004;5(3 Art 39). Accessed 15 April 2014 from: http://www.qualitative-research.net/index.php/fqs/article/view/572/1241
   Google Scholar
• Polit D, Beck C. Study guide to accompany nursing research: Principles and methods, 7th edn. Philadelphia, PA: Lippincott Williams & Wilkins 2004:308.
   Google Scholar
• Mikkelsen B. Methods for development work and research: A new guide for practitioners, 2nd edn. New Delhi, India: Sage Publications Inc 2005:107–10.
   Google Scholar
• National Bureau of Statistics (NBS), ICF Macro. Tanzania Demographic Health Survey 2010. Dar es Salaam, Tanzania: NBS and ICF Macro 2011.
   Google Scholar
• Phillips A, Gomez G, Boily M, et al. A systematic review and meta-analysis of quantitative interviewing tools to investigate self-reported HIV and STI associated behaviours in low- and middle-income countries. Int J Epidemiol 2010;39:1541–55.
   PubMed Web of Science ®Google Scholar
• Kishamawe C, Vissers D, Urassa M, et al. Mobility and HIV in Tanzanian couples: both mobile persons and their partners show increased risk. AIDS 2006;20:601–8.
   PubMed Web of Science ®Google Scholar
• Weine S, Kashuba A. Labor migration and HIV risk: A systematic review of the literature. AIDS Behav 2012;16:1605–21.
   PubMed Web of Science ®Google Scholar
• Smolak A. A meta-analysis and systematic review of HIV risk behavior among fishermen. AIDS Care 2014; 26:282–9.
   PubMed Web of Science ®Google Scholar
• Scorgie F, Chersich M, Ntaganira I, et al. Socio- demographic characteristics and behavioral risk factors of female sex workers in sub-saharan Africa: A systematic review. AIDS Behav 2012;16: 920–33.
   PubMed Web of Science ®Google Scholar
• Vissers D, De Vlas S, Bakker R, et al. The impact of mobility on HIV control: A modelling study. Epidemiol Infect 2011;139:1845–53.
   PubMed Web of Science ®Google Scholar