HIV Treatment as Prevention: Principles of Good HIV Epidemiology Modelling for Public Health Decision-Making in All Modes of Prevention and Evaluation

Authors: Wim Delva, David P. Wilson, Laith Abu-Raddad, Marelize Gorgens, David Wilson, Timothy B. Hallett, Alex Welte

DOI: 10.1371/journal.pmed.1001239

Abstract Summary

HIV modeling is crucial for guiding public health policy, but translating complex analyses into actionable decisions remains challenging. New “best practice” principles aim to bridge the gap between modelers and decision-makers, improving how HIV epidemiological models are built, reported, and interpreted for real-world prevention programs and policy implementation.

Why Brain? 🧠

Guidelines help bridge gap between HIV modelers and policymakers, improving how mathematical projections inform prevention strategies, cost-effectiveness analyses, and program design decisions.

License: CC BY.

The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.