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  • Data Resource Profile: Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA Network)

    Slaymaker E, Nakiyingi-Miiro J, Maquins S, Abdul R, Marston M, Gómez-Olivé X, Levira F, Wringe A, Geubbels E, Kyobutungi C, Kabudula C, Waswa L, Kwaro D, Urassa M, Tollman S, Kasamba I, Todd J, Serwadda D, Kanjala C, Zaba B, Oti S, Kahn K, Gregson S, Nyirenda MJ, Herbst K, McGrath N, Nabukalu D, Gareta D, Hosegood V, Nalugoda F, Clark SJ, Nyamukapa C, Mugurungi O, Church K, Price A, Mtenga B, Chihana M, Crampin AC, Mills L, Calvert C, Lutalo T, Michael D, Beguy D, Eaton JW, Wamukoya M, McLean E, Asiki G, Reniers G, Nyaguara A, Martin E, Amri S

    International Journal of Epidemiology, 2016 ; 45(1) : 83-93

  • Rising Levels of HIV Infection in Older Adults in Eastern Zimbabwe

    Negin J, Schur N, Takaruza A, Mason P, Nyamukapa C, Eaton JW, Gregson S

    PLOS One, 2016 ; Published online : 9 Nov

  • The Incidence Patterns Model to Estimate the Distribution of New HIV Infections in Sub-Saharan Africa: Development and Validation of a Mathematical Model

    Zaba B, Hallett TB, Gregson S, Cori A, Borquez A, Pufall EL, Kasule J, Price A, Elmes J, Crampin AC, Kagaayi J, Lutalo T, Slaymaker E, Urassa M

    PLOS Medicine, 2016 ; Published online : 13 Sep

  • Impact of ART on the fertility of HIV-positive women in sub-Saharan Africa

    Gregson S, Yeatman S, Beckles Z, Benton L, Eaton JW, Zaba B

    Tropical Medicine and International Health, 2016 ; Published online : 2 July

  • Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement

    The GATHER statement promotes best practices in reporting health estimates, via a checklist of items that should be reported every time a new set of health estimates are published.

    Black RE, Boerma JT, Collins GS, Ezzati M, Grove JT, Hogan DR, Hogan MC, Horton R, Lawn JE, Stevens GA, Alkema L

    Lancet, 2016 ; Published online 28 June : 1-5

  • What Is Required to End the AIDS Epidemic as a Public Health Threat by 2030? The Cost and Impact of the Fast-Track Approach

    Bollinger L, Izazola JA, Loures L, DeLay P, Stover J., Ghys PD

    PLOS One, 2016 ; Published online : 9 May

  • Migration, sexual behaviour, and HIV risk: a general population cohort in rural South Africa

    Newell M-L, Hosegood V, Eaton JW, McGrath N

    Lancet HIV, 2015 ; 2(6) : e223-e224

  • A Comparison of South African National HIV Incidence Estimates: A Critical Appraisal of Different Methods

    Rehle T, Johnson L, Hallett T, Kim A, Odido H, Onoya D, Jooste S, Shisana O, Puren A, Parekh B, Mahy M, Stover J.

    PLOS One, 2015 ; Published online : 31 July

  • Assessment of epidemic projections using recent HIV survey data in South Africa: a validation analysis of ten mathematical models of HIV epidemiology in the antiretroviral therapy era

    Hallett TB, Bacaer N, Bershteyn A, Cambiano V, Cori A, Dorrington RE, Fraser C, Gopalappa C, Hontelez JAC, Johnson LF, Klein DJ, Phillips AN, Pretorius C, Rehle TM, Eaton JW, Stover J.

    The Lancet Global Health, 2015 ; 3(10) : e577-e578

  • The 2013/14 UNAIDS Estimates Methods: Extending the scope and granularity of HIV estimates

    A special supplement of AIDS with papers documenting the developments of the methods endorsed by UNAIDS and used by countries to produce HIV estimates and related indicators for the UNAIDS Report on the Global AIDS Epidemic 2014.

    Case KK, Porter K, Hallett TB, Ghys P

    AIDS, 2014 ; 28 (Suppl 4) : S411-S542

  • Why the proportion of transmission during early-stage HIV infection does not predict the long-term impact of treatment on HIV incidence

    Eaton JW, Hallett TB

    PNAS, 2014 ; 111 : 16202-162

  • UNAIDS Report 2012

    A special supplement of Sexually Transmitted Infections with papers documenting the developments of the methods used by UNAIDS to produce HIV estimates for the Report on the Global AIDS Epidemic 2012.

    Sexually Transmitted Infections, 2012 ; 88 (Suppl 2) : i1-101

  • The 2009 HIV and AIDS estimates and projections: methods, tools and analyses

    A special supplement of Sexually Transmitted Infections with papers documenting the developments of the methods used by UNAIDS to produce HIV estimates for the Report on the Global AIDS Epidemic 2010.

    Sexually Transmitted Infections, 2010 ; 86 (Suppl 2) : ii1-99

  • Measuring and correcting biased child mortality statistics in countries with generalized epidemics of HIV Infection

    Mason PR, Garnett GP, Dube S, Kurwa F, Chawira G, Hallett TB, Gregson S

    Bull World Health Organ, 2010 ; 88 : 761-8

  • HIV: Consensus indicators are needed for concurrency

    UNAIDS Reference Group on Estimates, Modelling and Projections: Working Group on Measuring Concurrent Sexual Partnerships

    Lancet, 2009 ; 375 (9715) : 621

  • The Impact of Monitoring HIV Patients Prior to Treatment in Resource-Poor Settings: Insights from Mathematical Modelling.

    Garnett GP, Dube S, Hallett TB, Gregson S

    PLoS Medicine, 2008 ; Vol. 5, No. 3 : e53

  • Improved data, methods and tools for the 2007 HIV and AIDS estimates and projections

    A special supplement of Sexually Transmitted Infections with papers documenting the developments of the methods used by UNAIDS to produce HIV estimates for the Report on the Global AIDS Epidemic 2008.

    W McFarland, R Miller, G P Garnett, P D Ghys, N Walker

    Sexually Transmitted Infections, 2008 ; Aug;84 (Suppl 1) : 1-96

  • Estimating Incidence from Prevalence in Generalised HIV Epidemics: Methods and Validation

    Hallett TB, Lopman B, Mwita W, Todd J, Zaba B

    PLoS Medicine, 2008 ; Vol. 5, No. 4 : e80

  • The appropriate evaluation of HIV prevention interventions: from experiment to full scale implementation

    White PJ, Hallett TB, Garnett GP

    Sexually Transmitted Infections, 2007 ; 83(Suppl I) : i55–i60

  • Is HIV out of control in the UK? An example of analysing patterns of HIV spread using incidence-to-prevalence ratios

    Ward H, Garnett GP, White PJ

    AIDS, 2006 ; 20 : 1898–1901

  • Short term estimates of adult HIV incidence by mode of transmission: Kenya and Thailand as examples

    Gouws E, White PJ, Brown T., Stover J.

    J Acquir Immune Defic Syndr, 2006 ; 39(3) : 365-375

  • Improved methods and tools for HIV/AIDS estimates and projections

    Ghys P, Walker N, Garnett GP

    Sexually Transmitted Infections, 2006 ; 82 (Suppl 3) : 1-91

  • Methods to Estimate the Number of Orphans as a Result of AIDS and Other Causes in Sub-Saharan Africa

    Grassly NC, Timæus IM

    Sexually Transmitted Infections, 2005 ; 82 (Suppl 3) iii51-iii55. : iii;51-55

  • Comparison of survey estimates with UNAIDS/WHO projections of mortality and orphan numbers in sub-Saharan Africa

    Grassly NC, Lewis JJC, Timæus IM, Mahy M, Walker N

    Population Studies, 2004 ; 58 : 207-217

  • Estimating the global burden of HIV/AIDS: what do we really know about the HIV pandemic?

    Stanecki KA, Ghys P, Grassly NC, Walker N, Garnett GP

    Lancet, 2004 ; 363 : 2180-2185

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