Literature DB >> 15220043

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

Neff Walker1, Nicholas C Grassly, Geoff P Garnett, Karen A Stanecki, Peter D Ghys.   

Abstract

The validity of UNAIDS/WHO estimates of the burden of HIV/AIDS is rightly questioned by politicians, scientists, and activists-especially since the 2003 estimates to be released in July, 2004, will show substantial drops in the burden of HIV/AIDS in several countries, and increases in others. However, the estimates are based on an explicit attempt to meet criteria we believe should guide the generation of international morbidity and mortality figures. These criteria extend beyond the quality of the input data to include features of the estimation process such as transparency and participation. The 2003 estimates now include plausible ranges for estimates rather than a single best estimate. This reduces the chance that insignificant differences in estimates from different sources are given importance. Here, we describe the levels of uncertainty associated with the UNAIDS/WHO estimates of HIV/AIDS. We explain the reason for moving to the use of plausibility bounds, the factors that determine the width of the bounds, and the implications for policy makers and programme managers.

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Year:  2004        PMID: 15220043     DOI: 10.1016/S0140-6736(04)16511-2

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  25 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.  Knowledge of HIV/AIDS and attitude towards voluntary counseling and testing among adults.

Authors:  Zubairu Iliyasu; Isa S Abubakar; Mohammed Kabir; Muktar H Aliyu
Journal:  J Natl Med Assoc       Date:  2006-12       Impact factor: 1.798

4.  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

5.  Refusal bias in the estimation of HIV prevalence.

Authors:  Wendy Janssens; Jacques van der Gaag; Tobias F Rinke de Wit; Zlata Tanović
Journal:  Demography       Date:  2014-06

6.  Refusal bias in HIV prevalence estimates from nationally representative seroprevalence surveys.

Authors:  Georges Reniers; Jeffrey Eaton
Journal:  AIDS       Date:  2009-03-13       Impact factor: 4.177

7.  Zero New HIV Infections, Zero Discrimination, and Zero AIDS-Related Deaths: Feasible Goals or Ambitious Visions on the Occasion of the World AIDS Day?

Authors:  Aliakbar Haghdoost; Mohammad Karamouzian
Journal:  Int J Prev Med       Date:  2012-12

8.  The relation of price of antiretroviral drugs and foreign assistance with coverage of HIV treatment in Africa: retrospective study.

Authors:  Eran Bendavid; Eric Leroux; Jay Bhattacharya; Nicole Smith; Grant Miller
Journal:  BMJ       Date:  2010-11-18

9.  The economic costs and health-related quality of life of people with HIV/AIDS in the Canary Islands, Spain.

Authors:  Julio Lopez-Bastida; Juan Oliva-Moreno; Lilisbeth Perestelo-Perez; Pedro Serrano-Aguilar
Journal:  BMC Health Serv Res       Date:  2009-03-30       Impact factor: 2.655

10.  Implications of the HIV testing protocol for refusal bias in seroprevalence surveys.

Authors:  Georges Reniers; Tekebash Araya; Yemane Berhane; Gail Davey; Eduard J Sanders
Journal:  BMC Public Health       Date:  2009-05-28       Impact factor: 3.295

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