A systematic review of models used to estimate undiagnosed HIV prevalence in high-income low-prevalence countries and territories

CD4 + back-calculation models, notably the online accessible ECDC model, have been most commonly used. These are well suited to surveillance systems like New Zealand's, which collect demographic and exposure details and CD4 + cell counts at HIV diagnosis, but limited exposure group size and seroprevalence information.

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Journal
AIDS
Published
2025-10-22
DOI
https://doi.org/10.1097/qad.0000000000004390
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

A systematic review of models used to estimate undiagnosed HIV prevalence in high-income low-prevalence countries and territories

Julia Scott, Peter Saxton, Jason J. Ong, Andrew T. Anglemyer et al.
AIDS
HIV/AIDS Research and Interventions
article

A systematic review of models used to estimate undiagnosed HIV prevalence in high-income low-prevalence countries and territories

Julia Scott, Peter Saxton, Jason J. Ong, Andrew T. Anglemyer, Zoe Kumbaroff
article en

Abstract

CD4 + back-calculation models, notably the online accessible ECDC model, have been most commonly used. These are well suited to surveillance systems like New Zealand's, which collect demographic and exposure details and CD4 + cell counts at HIV diagnosis, but limited exposure group size and seroprevalence information.

AIDSVol. 40(2)
University of Auckland (NZ), University of Waikato (NZ), Monash University (AU), University of Otago (NZ)
Openalex Percentile: Top 64%
HIV/AIDS Research and Interventions
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A systematic review of models used to estimate undiagnosed HIV prevalence in high-income low-prevalence countries and territories — Julia Scott, Peter Saxton, et al. · AIDS (2025) | TGRS Research Map | TGRS