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

Lodwick, R; Alioum, A; Archibald, C; Birrell, P; Commenges, D; Costagliola, D; De Angelis, D; ... Working Grp Estimation HIV Prevale, ; + view all (2011) HIV in hiding: methods and data requirements for the estimation of the number of people living with undiagnosed HIV. AIDS , 25 (8) 1017 - 1023. 10.1097/QAD.0b013e3283467087. Green open access

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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.

Type: Article
Title: HIV in hiding: methods and data requirements for the estimation of the number of people living with undiagnosed HIV
Open access status: An open access version is available from UCL Discovery
DOI: 10.1097/QAD.0b013e3283467087
Additional information: Copyright: © 2011 Lippincott Williams & Wilkins, Inc. This is a non-final version of an article published in final form in Lodwick, R; Alioum, A; Archibald, C; Birrell, P; Commenges, D; Costagliola, D; De Angelis, D; (2011) HIV in hiding: methods and data requirements for the estimation of the number of people living with undiagnosed HIV. AIDS, 25 (8) 1017 - 1023. 10.1097/QAD.0b013e3283467087.
Keywords: HIV prevalence, HIV surveillance data, undiagnosed HIV, human immunodeficiency virus, United States, surveillance data, Bayesian synthesis, back-projection, late diagnosis, AIDS epidemic, infection, England, Wales
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute for Global Health > Infection and Population Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
URI: https://discovery.ucl.ac.uk/id/eprint/1307819
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