Literature DB >> 16735291

Improving projections at the country level: the UNAIDS Estimation and Projection Package 2005.

T Brown1, N C Grassly, G Garnett, K Stanecki.   

Abstract

BACKGROUND: UNAIDS has developed the Estimation and Projection Package (EPP) as a tool for national programmes to use for making national estimates and short term projections of HIV prevalence. EPP provides direct input to Spectrum, which produces incidence, deaths, and AIDS impacts.
METHODS: The latest version, EPP 2005, includes substantial methodological improvements over the previous version. These include: (1) parallel, but unique, interfaces for generalised and concentrated epidemics; (2) use of maximum likelihood fitting procedures; (3) a new procedure, known as level fits, adjusting for expansion of national surveillance systems into lower prevalence sites; (4) provisions for handling turnover in at-risk populations, including the reassignment of HIV positive former members to lower risk populations; and (5) user-defined calibration to HIV prevalence levels from general population or other epidemiological surveys.
RESULTS: Following regional training in mid 2005, this new version has been applied by many national programmes to make their end of 2005 estimates of HIV infections. UNAIDS has combined these national estimates to form the 2005 global HIV and AIDS estimates.
CONCLUSION: EPP 2005 is a substantial improvement over previous versions, forming a solid base for the next round of modifications. Proposed modifications for that next version are presented for the reader's information.

Entities:  

Mesh:

Year:  2006        PMID: 16735291      PMCID: PMC2576727          DOI: 10.1136/sti.2006.020230

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  10 in total

1.  Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard.

Authors:  J Ties Boerma; Peter D Ghys; Neff Walker
Journal:  Lancet       Date:  2003-12-06       Impact factor: 79.321

2.  The UNAIDS Estimation and Projection Package: a software package to estimate and project national HIV epidemics.

Authors:  P D Ghys; T Brown; N C Grassly; G Garnett; K A Stanecki; J Stover; N Walker
Journal:  Sex Transm Infect       Date:  2004-08       Impact factor: 3.519

3.  Uncertainty in estimates of HIV/AIDS: the estimation and application of plausibility bounds.

Authors:  N C Grassly; M Morgan; N Walker; G Garnett; K A Stanecki; J Stover; T Brown; P D Ghys
Journal:  Sex Transm Infect       Date:  2004-08       Impact factor: 3.519

4.  HIV prevalence and trends in sub-Saharan Africa: no decline and large subregional differences.

Authors:  Emil Asamoah-Odei; Jesus M Garcia Calleja; J Ties Boerma
Journal:  Lancet       Date:  2004 Jul 3-9       Impact factor: 79.321

5.  The HIV epidemic in Zambia: socio-demographic prevalence patterns and indications of trends among childbearing women.

Authors:  K Fylkesnes; R M Musonda; K Kasumba; Z Ndhlovu; F Mluanda; L Kaetano; C C Chipaila
Journal:  AIDS       Date:  1997-03       Impact factor: 4.177

6.  Improved methods and assumptions for estimation of the HIV/AIDS epidemic and its impact: Recommendations of the UNAIDS Reference Group on Estimates, Modelling and Projections.

Authors: 
Journal:  AIDS       Date:  2002-06-14       Impact factor: 4.177

7.  Projecting the demographic consequences of adult HIV prevalence trends: the Spectrum Projection Package.

Authors:  J Stover
Journal:  Sex Transm Infect       Date:  2004-08       Impact factor: 3.519

8.  The epidemic of HIV/AIDS in Abidjan, Côte d'Ivoire: a review of data collected by Projet RETRO-CI from 1987 to 1993.

Authors:  G Djomand; A E Greenberg; M Sassan-Morokro; O Tossou; M O Diallo; E Ekpini; P Ghys; B Soro; K Brattegaard; A Yapi
Journal:  J Acquir Immune Defic Syndr Hum Retrovirol       Date:  1995-11-01

9.  High HIV-1 incidence in young women masked by stable overall seroprevalence among childbearing women in Kinshasa, Zaïre: estimating incidence from serial seroprevalence data.

Authors:  V Batter; B Matela; M Nsuami; T Manzila; M Kamenga; F Behets; R W Ryder; W L Heyward; J M Karon; M E St Louis
Journal:  AIDS       Date:  1994-06       Impact factor: 4.177

10.  Methods and procedures for estimating HIV/AIDS and its impact: the UNAIDS/WHO estimates for the end of 2001.

Authors:  Neff Walker; Karen A Stanecki; Tim Brown; John Stover; Stefano Lazzari; Jesus Maria Garcia-Calleja; Bernhard Schwartländer; Peter D Ghys
Journal:  AIDS       Date:  2003-10-17       Impact factor: 4.177

  10 in total
  36 in total

1.  Improved plausibility bounds about the 2005 HIV and AIDS estimates.

Authors:  M Morgan; N Walker; E Gouws; K A Stanecki; J Stover
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

2.  Improving analysis of the size and dynamics of AIDS epidemics.

Authors:  P D Ghys; N Walker; G P Garnett
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

3.  Journal impact factors for 2006.

Authors:  Rob F Miller; Helen Ward
Journal:  Sex Transm Infect       Date:  2007-08       Impact factor: 3.519

4.  Bayesian Methods for Calibrating Health Policy Models: A Tutorial.

Authors:  Nicolas A Menzies; Djøra I Soeteman; Ankur Pandya; Jane J Kim
Journal:  Pharmacoeconomics       Date:  2017-06       Impact factor: 4.981

5.  Projecting the demographic impact of AIDS and the number of people in need of treatment: updates to the Spectrum projection package.

Authors:  J Stover; N Walker; N C Grassly; M Marston
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

6.  National population based HIV prevalence surveys in sub-Saharan Africa: results and implications for HIV and AIDS estimates.

Authors:  J M García-Calleja; E Gouws; P D Ghys
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

7.  Lives saved by Global Fund-supported HIV/AIDS, tuberculosis and malaria programs: estimation approach and results between 2003 and end-2007.

Authors:  Ryuichi Komatsu; Eline L Korenromp; Daniel Low-Beer; Catherine Watt; Christopher Dye; Richard W Steketee; Bernard L Nahlen; Rob Lyerla; Jesus M Garcia-Calleja; John Cutler; Bernhard Schwartländer
Journal:  BMC Infect Dis       Date:  2010-04-30       Impact factor: 3.090

8.  How fast could HIV change gene frequencies in the human population?

Authors:  Deborah Cromer; Steven M Wolinsky; Angela R McLean
Journal:  Proc Biol Sci       Date:  2010-03-10       Impact factor: 5.349

9.  The cost and impact of male circumcision on HIV/AIDS in Botswana.

Authors:  Lori A Bollinger; John Stover; Godfrey Musuka; Boga Fidzani; Themba Moeti; Lesego Busang
Journal:  J Int AIDS Soc       Date:  2009-05-27       Impact factor: 5.396

10.  Comparison of projected and actual outcomes of the HIV/AIDS epidemic in Malawi, 1990-2000.

Authors:  Suja S Rajan; David C Sokal
Journal:  PLoS One       Date:  2009-08-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.