Literature DB >> 21422986

HIV in hiding: methods and data requirements for the estimation of the number of people living with undiagnosed HIV.

.   

Abstract

Many people who are HIV positive are unaware of their infection status. Estimation of the number of people with undiagnosed HIV within a country or region is vital for understanding future need for treatment and for motivating testing programs. We review the available estimation approaches which are in current use. They can be broadly classified into those based on prevalence surveys and those based on reported HIV and AIDS cases. Estimation based on prevalence data requires data from regular prevalence surveys in different population groups together with estimates of the size of these groups. The recommended minimal case reporting data needed to estimate the number of patients with undiagnosed HIV are HIV diagnoses, including CD4 count at diagnosis and whether there has been an AIDS diagnosis in the 3 months before or after HIV diagnosis, and data on deaths in people with HIV. We would encourage all countries to implement several methods that will help develop our understanding of strengths and weaknesses of the various methods.

Entities:  

Mesh:

Year:  2011        PMID: 21422986     DOI: 10.1097/QAD.0b013e3283467087

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  20 in total

1.  The undiagnosed HIV epidemic in France and its implications for HIV screening strategies.

Authors:  Virginie Supervie; Jacques D A Ndawinz; Sara Lodi; Dominique Costagliola
Journal:  AIDS       Date:  2014-07-31       Impact factor: 4.177

2.  High percentage of undiagnosed HIV cases within a hyperendemic South African community: a population-based study.

Authors:  Alain Vandormael; Tulio de Oliveira; Frank Tanser; Till Bärnighausen; Joshua T Herbeck
Journal:  J Epidemiol Community Health       Date:  2017-11-24       Impact factor: 3.710

3.  An Adaptive Approach to Locating Mobile HIV Testing Services.

Authors:  Gregg S Gonsalves; Forrest W Crawford; Paul D Cleary; Edward H Kaplan; A David Paltiel
Journal:  Med Decis Making       Date:  2017-07-12       Impact factor: 2.583

4.  A METHOD FOR ESTIMATING THE PROPORTION OF HIV INFECTED PERSONS THAT HAVE BEEN DIAGNOSED AND APPLICATION TO CHINA.

Authors:  Ron Brookmeyer; Zunyou Wu
Journal:  Stat Biosci       Date:  2019-04-29

5.  A New Method for Estimating the Number of Undiagnosed HIV Infected Based on HIV Testing History, with an Application to Men Who Have Sex with Men in Seattle/King County, WA.

Authors:  Ian E Fellows; Martina Morris; Jeanette K Birnbaum; Julia C Dombrowski; Susan Buskin; Amy Bennett; Matthew R Golden
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

Review 6.  Update on HIV in Western Europe.

Authors:  Fumiyo Nakagawa; Andrew N Phillips; Jens D Lundgren
Journal:  Curr HIV/AIDS Rep       Date:  2014-06       Impact factor: 5.071

7.  Roundtable discussion: how lessons learned from HIV can inform the global response to viral hepatitis.

Authors:  Jeffrey V Lazarus; Jens Lundgren; Jordi Casabona; Lucas Wiessing; Catharina Matheï; Peter Vickerman; Maria Prins; Mirjam Kretzschmar; Maria Kantzanou; Isabelle Giraudon; Marica Ferri; Paul Griffiths; Magdalena Harris; Margaret Walker; Lilyana Chavdarova; Eberhard Schatz; Katrin Schiffer; John Kools; Jason Farell; Luís Mendão
Journal:  BMC Infect Dis       Date:  2014-09-19       Impact factor: 3.090

8.  Is back-projection methodology still relevant for estimating HIV incidence from national surveillance data?

Authors:  Kylie-Ann Mallitt; David P Wilson; Ann McDonald; Handan Wand
Journal:  Open AIDS J       Date:  2012-09-07

9.  Use of surveillance data on HIV diagnoses with HIV-related symptoms to estimate the number of people living with undiagnosed HIV in need of antiretroviral therapy.

Authors:  Rebecca K Lodwick; Fumiyo Nakagawa; Ard van Sighem; Caroline A Sabin; Andrew N Phillips
Journal:  PLoS One       Date:  2015-03-13       Impact factor: 3.240

10.  Estimating HIV Incidence, Time to Diagnosis, and the Undiagnosed HIV Epidemic Using Routine Surveillance Data.

Authors:  Ard van Sighem; Fumiyo Nakagawa; Daniela De Angelis; Chantal Quinten; Daniela Bezemer; Eline Op de Coul; Matthias Egger; Frank de Wolf; Christophe Fraser; Andrew Phillips
Journal:  Epidemiology       Date:  2015-09       Impact factor: 4.822

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.