Network-Based Interventions for HIV Prevention via Cascade-Aware Suppression of Transmission
A new approach to HIV prevention has been proposed through a method called Cascade-Aware Suppression of Transmission (CAST). This method optimizes the allocation of resources to treat virally unsuppressed individuals, aiming to reduce new infections within transmission networks. Evaluations show that CAST significantly outperforms existing public health strategies and is robust across various infectious disease networks.
- ▪Treating and preventing HIV is a critical global health challenge.
- ▪The CAST algorithm achieves a 2√|P| approximation ratio for resource allocation.
- ▪Extensive evaluations demonstrate that CAST outperforms standard public health and computer science baselines.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.20218 |
| Publication time | Fri, 22 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-22T04:02:00.009Z |
| Last seen | 2026-05-22T04:02:00.009Z |
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Physics > Physics and Society arXiv:2605.20218 (physics) [Submitted on 11 May 2026] Title:Network-Based Interventions for HIV Prevention via Cascade-Aware Suppression of Transmission Authors:Akseli Kangaslahti, Davin Choo, Milind Tambe, Alastair van Heerden, Cheryl Johnson View a PDF of the paper titled Network-Based Interventions for HIV Prevention via Cascade-Aware Suppression of Transmission, by Akseli Kangaslahti and 4 other authors View PDF HTML (experimental) Abstract:Treating and preventing Human Immunodeficiency Virus (HIV) remains a critical global health challenge. While antiretroviral therapy provides a path toward viral suppression -- effectively eliminating an individual's transmission risk -- systemic resource constraints limit the reach of intervention efforts.
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