ReviewTheoretical biology & medical modelling2020
Modeling methods for estimating HIV incidence: a mathematical review.
Review in Theoretical biology & medical modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Simulation modeling for the design and evaluation of HIV drug resistance interventions: a systematic review of literature.BMC public health · 2026Pooled it
- Colliding Wars: A Systematic Review on HIV Responses in Conflict-Affected Settings.Public health challenges · 2026Review
- Real-World Estimates of HIV Incidence From Sexual Health Clinic EMRs: Feasibility, Limitations, and Implications for Surveillance.Journal of acquired immune deficiency syndromes (1999) · 2026Article
- Developing and evaluating a novel rapid test for recent HIV-1 infection: comparison with commercial LAg-EIA assays.Journal of clinical microbiology · 2026Article
- Exploring socio-economic dimensions in HIV research: a comprehensive bibliometric analysis (1992-2024).Global health action · 2025Review
- Early estimation of the number of hidden HIV infected subjects: An extended Kalman filter approach.Infectious Disease Modelling · 2023Article
- Using testing history to estimate HIV incidence in mothers living in resource-limited settings: Maximizing efficiency of a community health survey in Mozambique.PLOS global public health · 2023Article
- Estimating HIV incidence over a decade in Zimbabwe: A comparison of the catalytic and Farrington models.PLOS global public health · 2023Article
- Recent HIV Infection: Diagnosis and Public Health Implications.Diagnostics (Basel, Switzerland) · 2022Review
- Impact of non-pharmaceutical interventions and vaccination on COVID-19 outbreaks in Nunavut, Canada: a Canadian Immunization Research Network (CIRN) study.BMC public health · 2022Article
- Age patterns of HIV incidence in eastern and southern Africa: a modelling analysis of observational population-based cohort studies.The lancet. HIV · 2021Observational
- 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
- Modeling the effect of delay strategy on transmission dynamics of HIV/AIDS disease.Advances in difference equations · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimating HIV incidence is crucial for monitoring the epidemiology of this infection, planning screening and intervention campaigns, and evaluating the effectiveness of control measures. However, owing to the long and variable period from HIV infection to the development of AIDS and the introduction of highly active antiretroviral therapy, accurate incidence estimation remains a major challenge. Numerous estimation methods have been proposed in epidemiological modeling studies, and here we review commonly-used methods for estimation of HIV incidence. We review the essential data required for estimation along with the advantages and disadvantages, mathematical structures and likelihood derivations of these methods. The methods include the classical back-calculation method, the method based on CD4+ T-cell depletion, the use of HIV case reporting data, the use of cohort study data, the use of serial or cross-sectional prevalence data, and biomarker approach. By outlining the mechanistic features of each method, we provide guidance for planning incidence estimation efforts, which may depend on national or regional factors as well as the availability of epidemiological or laboratory datasets.
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