ArticleHealth care management science2014
HIV epidemic control-a model for optimal allocation of prevention and treatment resources.
Article in Health care management science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions.BMC health services research · 2025Pooled it
- Epidemiological yield and cost-effectiveness of non-targeted community HIV screening in a low-prevalence district: a prospective quasi-experimental study.Frontiers in public health · 2026Article
- Estimating HIV incidence in Türkiye: results from two mathematical models.BMC infectious diseases · 2025Article
- Using queueing models as a decision support tool in allocating point-of-care HIV viral load testing machines in Kisumu County, Kenya.Health policy and planning · 2024Article
- Quantifying optimal resource allocation strategies for controlling epidemics.Journal of the Royal Society, Interface · 2023Article
- Optimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Optimal Investment in Prevention and Recovery for Mitigating Epidemic Risks.Risk analysis : an official publication of the Society for Risk Analysis · 2022Review
- A qualitative model of the HIV care continuum in Vancouver, Canada.Health systems (Basingstoke, England) · 2022Article
- Investigating the effectiveness of re-opening policies before vaccination during a pandemic: SD modelling research based on COVID-19 in Wuhan.BMC public health · 2021Article
- Allocating treatment resources for hepatitis C in the UK: a constrained optimization modelling approach.Journal of market access & health policy · 2021Article
- Implementation Science to Respond to the COVID-19 Pandemic.Frontiers in public health · 2020Article
- A Multi-Fidelity Rollout Algorithm for Dynamic Resource Allocation in Population Disease Management.Health care management science · 2019Article
- Making Smarter Decisions Faster: Systems Engineering to Improve the Global Public Health Response to HIV.Current HIV/AIDS reports · 2019Review
- Creating impact with operations research in health: making room for practice in academia.Health care management science · 2016Article
- Maximising HIV prevention by balancing the opportunities of today with the promises of tomorrow: a modelling study.The lancet. HIV · 2016Article
- Optimizing an HIV testing program using a system dynamics model of the continuum of care.Health care management science · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
With 33 million people living with human immunodeficiency virus (HIV) worldwide and 2.7 million new infections occurring annually, additional HIV prevention and treatment efforts are urgently needed. However, available resources for HIV control are limited and must be used efficiently to minimize the future spread of the epidemic. We develop a model to determine the appropriate resource allocation between expanded HIV prevention and treatment services. We create an epidemic model that incorporates multiple key populations with different transmission modes, as well as production functions that relate investment in prevention and treatment programs to changes in transmission and treatment rates. The goal is to allocate resources to minimize R 0, the reproductive rate of infection. We first develop a single-population model and determine the optimal resource allocation between HIV prevention and treatment. We extend the analysis to multiple independent populations, with resource allocation among interventions and populations. We then include the effects of HIV transmission between key populations. We apply our model to examine HIV epidemic control in two different settings, Uganda and Russia. As part of these applications, we develop a novel approach for estimating empirical HIV program production functions. Our study provides insights into the important question of resource allocation for a country's optimal response to its HIV epidemic and provides a practical approach for decision makers. Better decisions about allocating limited HIV resources can improve response to the epidemic and increase access to HIV prevention and treatment services for millions of people worldwide.
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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.