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All issues Volume 319 (2021) E3S Web Conf., 319 (2021) 01106 References
Open Access
Issue
E3S Web Conf.
Volume 319, 2021
International Congress on Health Vigilance (VIGISAN 2021)
Article Number 01106
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202131901106
Published online 09 November 2021
  1. Programme commun des Nations Unies sur le VIH/SIDA. Rapport ONUSIDA sur l’Epidémie Mondiale de SIDA, 2012. [Google Scholar]
  2. Rapport National GARP Côte d’Ivoire 2012, Suivi de la déclaration de politique sur le SIDA de Juin 2011. [Google Scholar]
  3. P. Msellati, L. Vidal et J.P. Moatti, “L’accès aux traitements du VIH/sida en Côte d’Ivoire. Évaluation de l’Initiative ONUSIDA/Ministère de la Santé publique” Agence Nationale de Recherches sur le Sida, Paris : 327 pages. (2001). [Google Scholar]
  4. M. Evangeli, M.L. Newell, L. Richter, N. McGrath, The association between Self-Reported Sigma and Loss-to-Follow Up in treatment eligible HIV positive adults in rural Kwazulu-Natal, South Africa, Plos One, 9(2): e88235. (2014). [CrossRef] [PubMed] [Google Scholar]
  5. N.C. Ware, M.A. Wyatt, E.H. Geng, S.F. Kaaya, O.O. Agbaji, et al., Toward an Understanding of Disengagement from HIV Treatment and Care in Sub-Saharan Africa: A Qualitative Study. Plos Med, 10 (1) : e1001369. (2013). [CrossRef] [PubMed] [Google Scholar]
  6. V.A. Earnshaw, S.R. Chaudoir, From conceptualizing to measuring HIV stigma : a review of HIV stigma mechanism measures. AIDS Behav 13 : 1160–1177. (2009). [CrossRef] [PubMed] [Google Scholar]
  7. Programme commun des Nations Unies sur le VIH/SIDA (ONUSIDA). 90-90-90 : Une cible ambitieuse de traitement pour aider à mettre fin à l’épidémie du Sida, (2014). [Google Scholar]
  8. B.N. Soro, G.M. Gershy-Damet, A. Coulibaly, K. Koffi, V.S. Sangare, D. Koffi, R. Houdier, R. Josseran, J. Guelain, E. Aoussi, et al. Seroprevalence of HIV infection in the general population of the Cote d’Ivoire, West Africa. J Acquir Immune Defic Syndr, 3(12) : 1193-6. (1990). [PubMed] [Google Scholar]
  9. Ministère de la Santé et de la Lutte contre le SIDA. Enquête sur les Indicateurs du SIDA, Côte d’Ivoire, 2005. [Google Scholar]
  10. Ministère de la Santé et de la Lutte contre le SIDA. Enquête Démographique et de Santé et à Indicateurs Multiples, Côte d’Ivoire, 2011-2012. [Google Scholar]
  11. J.M. Garcia-Calleja, E. Gouws, and P.D. Ghys, 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-iii70. (2006). [PubMed] [Google Scholar]
  12. H.K. Hegdahl, K.M Fylkesnes., I.F. Sandøy, Sex Differences in HIV Prevalence Persist over Time : Evidence from 18 Countries in Sub-Saharan Africa. PLoS ONE, 11(2) : e0148502. (2016). [CrossRef] [PubMed] [Google Scholar]
  13. L.M. Carpenter, A. Kamali, A. Ruberantwari, S.S. Malamba, J.A.G. Whitworth. Rates of HIV-1 transmission within marriage in rural Uganda in relation to the HIV sero-status of the partners. AIDS, 13 :1083-1089. (1999). [CrossRef] [PubMed] [Google Scholar]
  14. J. Chin, J. Mann. Global surveillance and forecasting of AIDS. Bull World Health Organ ;67 :1-7. (1989). [Google Scholar]
  15. P.D. Ghys, E. Kufa, and M.V. George for the UNAIDS Reference Group on Estimates Modelling and Projections’ ad hoc Working Group on interpreting trends in prevalence and incidence of HIV infection in countries with generalised epidemics. Measuring trends in prevalence and incidence of HIV infection in countries with generalised epidemics. Sex Transm Infect, 82, Suppl 1: i52-i56. (2006). [CrossRef] [PubMed] [Google Scholar]
  16. L.S. Montana, V. Mishra, R. Hong, Comparison of HIV prevalence estimates from antenatal care surveillance and population-based surveys in sub-Saharan Africa. Sex Transm Infect ; 84 Suppl 1:i78–i84. (2008). [CrossRef] [PubMed] [Google Scholar]
  17. N. Kayeyi, K. Fylkesnes, C. Michelo, M. Makasa, I. Sandøy, Decline in HIV Prevalence among Young Women in Zambia: National-Level Estimates of Trends Mask Geographical and Socio-Demographic Differences. PloS one, 7(4):e33652. (2012). [CrossRef] [Google Scholar]
  18. M. Hajizadeh, D. Sia, S. Heymann, A. Nandi, Socioeconomic inequalities in HIV/AIDS prevalence in sub-Saharan African countries : evidence from the Demographic Health ,Surveys. International Journal for Equity in Health; 13(1):18. (2014). [CrossRef] [PubMed] [Google Scholar]
  19. J.R. Glynn, M. Caraël, A. Buvé, S. Anagonou, L. Zekeng, M. Kahindo, R. Musonda, Does increased general schooling protect against HIV infection ? A study in four African cities. Trop Med Int Heal, 9 :4–14. (2004) [CrossRef] [PubMed] [Google Scholar]
  20. J.G. Fortson, The gradient in sub-Saharan Africa: Socioeconomic status and HIV/AIDS. Demography; 45(2):303–22. PMID : 18613483. (2008). [CrossRef] [PubMed] [Google Scholar]
  21. J.R. Hargreaves, J.R. Glynn, Educational attainment and HIV-1 infection in developing countries : a systematic review. Trop Med Int Heal,7 :489–498. (2002). [CrossRef] [PubMed] [Google Scholar]
  22. J. Kiwanuka, J.M. Waila, M.M. Kahungu, J. Kitonsa, N. Kiwanuka, Determinants of loss to follow-up among HIV positive patients receiving antiretroviral therapy in a test and treat setting : A retrospective cohort study in Masaka, Uganda, PLoS One ; 15(4) : e0217606. (2020). [CrossRef] [PubMed] [Google Scholar]

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