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Updated: Apr 15, 2026
The α-test: Rapid Cell-free CD4 Enumeration Using Whole Saliva
Published on: May 16, 2012
Inferring HIV incidence from case surveillance with CD4+ cell counts
James Jansson1, Cliff C Kerr, Kylie-Ann Mallitt
1aKirby Institute, UNSW Australia bComplex Systems Group, School of Physics, University of Sydney, Sydney, New South Wales, Australia.
A new method uses CD4 cell counts at diagnosis to estimate HIV incidence trends. This approach helps track undiagnosed HIV and time to diagnosis, improving public health surveillance.
Area of Science:
- Epidemiology
- Public Health Surveillance
- Biostatistics
Background:
- Traditional HIV surveillance relies on newly diagnosed case reporting.
- Estimating HIV incidence trends and undiagnosed infections remains a challenge.
Purpose of the Study:
- To introduce a novel back-projection method for estimating HIV incidence trends.
- To utilize CD4 cell counts at diagnosis for improved HIV surveillance.
Main Methods:
- Simulated CD4 cell count distributions (uninfected, post-primary infection, decline rates).
- Applied back-projection to Australian national HIV surveillance data (1983-2013).
- Estimated infection times, population incidence, undiagnosed HIV, and time from infection to diagnosis.
Main Results:
- Estimated 912 new HIV infections in Australia in 2013.
- Estimated 2280 people living with undiagnosed HIV (9.4% of total).
- Increasing HIV testing rates and decreasing time from infection to diagnosis observed, though some remain undiagnosed long-term.
Conclusions:
- The developed methodology offers a novel approach to estimating population incidence.
- Combining diagnosis dates and CD4 counts at diagnosis enhances HIV surveillance accuracy.
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