1. Borgdorff, MW, Kwaro, D, Obor, D, et al. HIV incidence in western Kenya during scale-up of antiretroviral therapy and voluntary medical male circumcision: a population-based cohort analysis. Lancet HIV 2018; 5(5): e241. DOI: 10.1016/S2352-3018(18)30025-0.[Internet]e241–9. Available from:
Google Scholar | Crossref | Medline2. UNAIDS . Data Report 2018. The Joint United Nations Programme on HIV/AIDS. UNAIDS, 2019.
Google Scholar3. Kharsany, AB, Karim, QA. HIV Infection and AIDS in Sub-Saharan Africa: Current Status, Challenges and Opportunities. Open AIDS J 2016; 10(1): 34–48. DOI: 10.2174/1874613601610010034
Google Scholar | Crossref | Medline4. Gregson, S, Mugurungi, O, Eaton, J, et al. Documenting and explaining the HIV decline in east Zimbabwe: The Manicaland General Population Cohort. BMJ Open 2017; 7(10): e015898–12. DOI: 10.1136/bmjopen-2017-015898
Google Scholar | Crossref | Medline5. Vandormael, A, Akullian, A, Siedner, M, et al. Declines in HIV incidence among men and women in a South African population-based cohort. Nat Commun 2019; 10(1): 5482. DOI: 10.1038/s41467-019-13473-y
Google Scholar | Crossref | Medline6. Blaizot, S, Maman, D, Riche, B, et al. Potential impact of multiple interventions on HIV incidence in a hyperendemic region in Western Kenya: A modelling study. BMC Infect Dis 2016; 16(1): 189–210. DOI: 10.1186/s12879-016-1520-4
Google Scholar | Crossref | Medline7. Karim, QA, Kharsany, AB, Frohlich, JA, et al. Stabilizing HIV prevalence masks high HIV incidence rates amongst rural and urban women in KwaZulu-Natal, South Africa. Int J Epidemiol 2011; 40(4): 922–930. DOI: 10.1093/ije/dyq176
Google Scholar | Crossref | Medline8. Vandormael, A, Cuadros, D, Dobra, A, et al. HIV incidence declines in a rural South African population: A G-imputation approach for inference. BMC Public Health 2020; 20(1): 1205–1209. DOI: 10.1186/s12889-020-09193-4
Google Scholar | Crossref | Medline9. Kagaayi, J, Chang, LW, Ssempijja, V, et al. Impact of combination HIV interventions on HIV incidence in hyperendemic fishing communities in Uganda: a prospective cohort study. Lancet HIV 2019; 6(19): e680. DOI: 10.1016/S2352-3018(19)30190-0
Google Scholar | Crossref | Medline10. UNAIDS . DATA. 2018; Vol. 112.
Google Scholar11. Mahy, M, Marsh, K, Sabin, K, et al. HIV estimates through 2018: Data for decision-making. Aids 2019; 33(Suppl 3): S203. DOI: 10.1097/QAD.0000000000002321
Google Scholar | Crossref | Medline12. Hallett, TB, Zaba, B, Todd, J, et al. Estimating incidence from prevalence in generalised HIV epidemics: Methods and validation. Plos Med 2008; 5(4): e80. DOI: 10.1371/journal.pmed.0050080
Google Scholar | Crossref | Medline13. UNAIDS . Quartely Update on HIV Epidemiology/2Q 2010. [Internet]. 2010. Retrived from: file:///Users/kriszti/Library/Application Support/Mendeley Desktop/Downloaded/UNAIDS - 2010 - EPI ALERT.pdf
Google Scholar14. UNAIDS. UNAIDS quartely update on HIV epidemiology/ 2Q 2010 [Internet] . 2010. Available from: file:///Users/kriszti/Library/ApplicationSupport/MendeleyDesktop/Downloaded/UNAIDS-2010-EPIALERT.pdf
Google Scholar15. UNAIDS . Methods for deriving UNAIDS estimates, Unaids [Internet]. 2016; Available from: http://www.unaids.org/sites/default/files/media_asset/2016_methods-for-deriving-UNAIDS-estimates_en.pdf
Google Scholar16. Grant, AD, De Cock, KM. HIV infection and AIDS in the developing world. BMJ 2001; 322(7300): 1475–1478.
Google Scholar | Crossref | Medline17. Wambura, M, Urassa, M, Isingo, R, et al. HIV prevalence and incidence in rural Tanzania: results from 10 years of follow-up in an open-cohort study. J Acquir Immune Defic Syndr 2007; 46(5): 616–623. DOI: 10.1097/QAI.0b013e31815a571a
Google Scholar | Crossref | Medline18. Kishamawe, C, Isingo, R, Mtenga, B, et al. Health and Demographic Surveillance System Profile: The Magu Health and Demographic Surveillance System (Magu HDSS). Int J Epidemiol 2015; 44(6): 1851–1861.
Google Scholar | Crossref | Medline19. National bureau of Statistics (NBS) . Tanzania Hiv Impact Survey (THIS) 2016-2017. Tanzania HIV Impact Survey (THIS) 2016-2017, 2018.
Google Scholar20. National bureau of Statistics (NBS) . Tanzania Demographic and Health Survey [Internet]. Tanzania Demographic and Health Survey, 2004. Available from: http://www.measuredhs.com/publications/publication-FR173-DHS-Final-Reports.cfm.
Google Scholar21. UNAIDS . UNAIDS_Country Overview. [Internet]. 2018 [cited 2019 Sep 17]. Available from: https://www.unaids.org/en/regionscountries/countries/unitedrepublicoftanzania (Accessed 4 November 2020)
Google Scholar22. The United Republic of Tanzaniaof and SWNACP . Implementation of HIV/AIDS Care and Treatment Services in Tanzania, 2013.
Google Scholar23. UNAIDS Data 2020 . HIV and AIDS in Tanzania Avert. [Internet]. [cited 2020 Nov 4] Available from: https://www.avert.org/professionals/hiv-around-world/sub-saharan-africa/tanzania
Google Scholar24. USAID . HIV/AIDS Voluntary Counselling and Testing:Review of Policies, Programmes and Guidelines in East. Central and Sourthern Africa [Internet], 2002. Retrived from: http://www.who.int/ (Accessed 8 11 2016).
Google Scholar25. Ministry of Health and Social Welfare of Tanzania . National Comprehensive Guidelines for HIV Testing and Counseling in Tanzania. Dar-es-Salaam,Tanzania, 2013.
Google Scholar26. Tanzania Commission for AIDS (TACAIDS), Nationa Bureau of Statistics (NBS ), Macro O. Tanzania HIV/AIDS Indicator Survey 2003-4. Calverton, MD: TACAIDS, NBS, ORC Macro, 2005; 132.
Google Scholar27. Kharsany, ABM, Frohlich, JA, Yende-Zuma, N, et al. Trends in HIV prevalence in pregnant women in rural South Africa. J Acquir Immune Defic Syndr 2015; 70(3): 289–295. DOI: 10.1097/QAI.0000000000000761
Google Scholar | Crossref | Medline28. Blaizot, S, Huerga, H, Riche, B, et al. Combined interventions to reduce HIV incidence in KwaZulu-Natal: a modelling study. BMC Infect Dis 2017; 17(522): 522–611. DOI: 10.1186/s12879-017-2612-5
Google Scholar | Crossref | Medline29. Kharsany, ABM, Cawood, C, Khanyile, D, et al. Community-based HIV prevalence in KwaZulu-Natal, South Africa: results of a cross-sectional household survey. Lancet HIV 2018; 5(8): e427–e437. DOI: 10.1016/S2352-3018(18)30104-8.[Internet]
Google Scholar | Crossref | Medline30. Nakigozi, G, Ndyanabo, A, Lutalo, T, et al. Association of Medical Male Circumcision and Antiretroviral Therapy scale-up with community HIV Incidence in Rakai. JAMA 2017; 316(2): 182–190. DOI: 10.1001/jama.2016.7292
Google Scholar | Crossref31. Grapsa, E, Tanser, F, Ba, T. Modelling HIV incidence and survival from age- specific seroprevalence after antiretroviral treatment scale-up in rural South Africa. AIDS 2013; 27(15): 2471–2479. DOI: 10.1097/01.aids.0000432475.14992.da
Google Scholar | Crossref | Medline32. The United Republic of Tanzania . Ministry of Health. National Guidelines for The clinical management of HIV and AIDS. 3nd ed. Dar-es-Salaam,Tanzania: National AIDS Control Programme(NACP). 2005.
Google Scholar33. The United Republic of Tanzania. Ministry of Health . National Guidelines for the Management of HIV and AIDS. 5th ed. Dar-es-Salaam,Tanzania: National AIDS Control Programme, 2015.
Google Scholar34. The United Republic of Tanzania. Ministry of Health and Social Welfare . National guidelines for the management of HIV and AIDSp. 4th ed. Dar-es-Salaam,Tanzania: National AIDS control programme (NACP). 2012.
Google Scholar35. The United Republic of Tanzania Ministry of Health . National Guidelines for the Management of HIV and AIDS. 6th ed. Dar-es-Salaam,Tanzania: National AIDS Control Programme, 2017.
Google Scholar