Monitoring of the HIV Epidemic Using Routinely Collected Data: The Case of the United Kingdom.


Rice, BD; Yin, Z; Brown, AE; Croxford, S; Conti, S; De Angelis, D; Delpech, VC; (2016) Monitoring of the HIV Epidemic Using Routinely Collected Data: The Case of the United Kingdom. AIDS and behavior. ISSN 1090-7165 DOI: https://doi.org/10.1007/s10461-016-1604-6

This is the latest version of this item. Earlier version may have full text manuscript

[img] Text - Accepted Version
License:

Download (246kB)

Abstract

: We report on measures used to monitor the response to the UK HIV epidemic. We present analyses of routine data on HIV testing, diagnosis and care, and of CD4 back-calculation models to estimate country of HIV acquisition and incidence. Over the past decade, HIV and AIDS diagnoses and deaths declined while HIV testing coverage increased. Linkage into care, retention in care, and viral suppression was high with few socio-demographic differences. However, in 2013, incidence among MSM, and undiagnosed infection, also remained high, and more than half of heterosexuals newly diagnosed with HIV (the majority of whom were born-abroad) probably acquired HIV in the UK and were diagnosed late. HIV care following diagnosis is excellent in the UK. Improvements in testing and prevention are required to reduce undiagnosed infection, incidence and late diagnoses. Routinely collected laboratory and clinic data is a low cost, robust and timely mechanism to monitor the public health response to national HIV epidemics.<br/>

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
PubMed ID: 27832390
Web of Science ID: 409052700010
URI: http://researchonline.lshtm.ac.uk/id/eprint/3093688

Available Versions of this Item

Statistics


Download activity - last 12 months
Downloads since deposit
32Downloads
81Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item