Abstract

SummaryBackgroundControl of HIV transmission could be achievable through an expansion of HIV testing of at-risk populations together with ready access and adherence to antiretroviral therapy. To examine whether increases in testing rates and antiretroviral therapy coverage correspond to the control of HIV transmission, we estimated HIV incidence in men who have sex with men (MSM) in England and Wales since 2001.MethodsA CD4-staged back-calculation model of HIV incidence was used to disentangle the competing contributions of time-varying rates of diagnosis and HIV incidence to observed HIV diagnoses. Estimated trends in time to diagnosis, incidence, and undiagnosed infection in MSM were interpreted against a backdrop of increased HIV testing rates and antiretroviral-therapy coverage over the period 2001–10.FindingsThe observed 3·7 fold expansion in HIV testing in MSM was mirrored by a decline in the estimated mean time-to-diagnosis interval from 4·0 years (95% credible interval [CrI] 3·8–4·2) in 2001 to 3·2 years (2·6–3·8) by the end of 2010. However, neither HIV incidence (2300–2500 annual infections) nor the number of undiagnosed HIV infections (7370, 95% CrI 6990–7800, in 2001, and 7690, 5460–10 580, in 2010) changed throughout the decade, despite an increase in antiretroviral uptake from 69% in 2001 to 80% in 2010.InterpretationCD4 cell counts at HIV diagnosis are fundamental to the production of robust estimates of incidence based on HIV diagnosis data. Improved frequency and targeting of HIV testing, as well as the introduction of ART at higher CD4 counts than is currently recommended, could begin a decline in HIV transmission among MSM in England and Wales.FundingUK Medical Research Council, UK Health Protection Agency.

Highlights

  • Back-Calculation Back-calculation permits infection incidence to be estimated from time series of observed counts of disease endpoints and information on the distribution of the time from infection to the endpoint of interest

  • These summaries consist of posterior medians and the corresponding 95% credible intervals

  • Values of pij that lie close to 0 or 1 provide evidence that there is a significant difference between the incidence in the two years

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Summary

Introduction

Back-Calculation Back-calculation permits infection incidence to be estimated from time series of observed counts of disease endpoints and information on the distribution of the time from infection to the endpoint of interest. In the absence of direct knowledge of this shifting time to HIV diagnosis distribution, additional information is required to estimate both this distribution and infection incidence.

Results
Conclusion

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