ArticleThe Journal of infectious diseases2013
HIV incidence determination in the United States: a multiassay approach.
Article in The Journal of infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.
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Who cites it
75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.
- Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review.JMIR public health and surveillance · 2022Pooled it
- Pooled it
- Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART).PloS one · 2021Trial
- Cross-sectional estimates revealed high HIV incidence in Botswana rural communities in the era of successful ART scale-up in 2013-2015.PloS one · 2018Trial
- A randomized controlled safety/efficacy trial of therapeutic vaccination in HIV-infected individuals who initiated antiretroviral therapy early in infection.Science translational medicine · 2017Trial
- Trial
- Use of a multifaceted approach to analyze HIV incidence in a cohort study of women in the United States: HIV Prevention Trials Network 064 Study.The Journal of infectious diseases · 2013Trial
- Trial
- Failure to identify HIV-infected individuals in a clinical trial using a single HIV rapid test for screening.HIV clinical trialsTrial
- HIV molecular network in Mexico City (2021-2022): Understanding transmission dynamics through the role of newly diagnosed cases.HIV medicine · 2025Article
- Characterization of People Living with HIV Who Inject Drugs in Mexico City: Importance for Transmission and Detection.AIDS patient care and STDs · 2025Article
- A likelihood approach to incorporating self-report data in HIV recency classification.Biometrics · 2024Article
- Development of a multiassay algorithm (MAA) to identify recent HIV infection in newly diagnosed individuals in Indonesia.iScience · 2023Article
- Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment.BMC infectious diseases · 2022Article
- Recent HIV Infection: Diagnosis and Public Health Implications.Diagnostics (Basel, Switzerland) · 2022Review
- Statistical considerations for cross-sectional HIV incidence estimation based on recency test.Statistics in medicine · 2022Article
- Persistence of HIV transmission clusters among people who inject drugs.AIDS (London, England) · 2020Article
- Declining trend in HIV new infections in Guangxi, China: insights from linking reported HIV/AIDS cases with CD4-at-diagnosis data.BMC public health · 2020Article
- Longitudinal Antibody Responses in People Who Inject Drugs Infected With Similar Human Immunodeficiency Virus Strains.The Journal of infectious diseases · 2020Article
- Modeling methods for estimating HIV incidence: a mathematical review.Theoretical biology & medical modelling · 2020Review
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors at 8 institutions in 2 countries.
Funding
Abstract
backgroundAccurate testing algorithms are needed for estimating human immunodeficiency virus (HIV) incidence from cross-sectional surveys.
methodsWe developed a multiassay algorithm (MAA) for HIV incidence that includes the BED capture enzyme immunoassay (BED-CEIA), an antibody avidity assay, HIV load, and CD4(+) T-cell count. We analyzed 1782 samples from 709 individuals in the United States who had a known duration of HIV infection (range, 0 to >8 years). Logistic regression with cubic splines was used to compare the performance of the MAA to the BED-CEIA and to determine the window period of the MAA. We compared the annual incidence estimated with the MAA to the annual incidence based on HIV seroconversion in a longitudinal cohort.
resultsThe MAA had a window period of 141 days (95% confidence interval [CI], 94-150) and a very low false-recent misclassification rate (only 0.4% of 1474 samples from subjects infected for >1 year were misclassified as indicative of recent infection). In a cohort study, annual incidence based on HIV seroconversion was 1.04% (95% CI, .70%-1.55%). The incidence estimate obtained using the MAA was essentially identical: 0.97% (95% CI, .51%-1.71%).
conclusionsThe MAA is as sensitive for detecting recent HIV infection as the BED-CEIA and has a very low rate of false-recent misclassification. It provides a powerful tool for cross-sectional HIV incidence determination.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.