A workshop to asked high TB burden country experts about what epidemiological, impact, feasibility and acceptability data they anticipated they would need to guide TB vaccine introduction.
Using previously calibrated models for India and South Africa, we simulated BCG revaccination assuming 45% prevention-of-infection efficacy, and we evaluated scenarios varying additional prevention-of-disease efficacy between +50% (reducing risk) and −50% (increasing risk).
From 2023 onwards we modelled a combination of interventions acting at different stages of the care cascade, including improved diagnostics; reducing the patient care seeking delay; and the rollout of a disease-preventing vaccine from 2025 onwards.
Using mathematical models, we seek to estimate the potential impact of a post-exposure TB vaccine, having 50% efficacy in reducing active disease, on global rifampicin-resistant (RR-) TB burden.
This project aims to collect data to: 1) Assess health facility and health systems readiness for a new TB vaccine, and 2) Explore decision-making factors for new TB vaccine demand and acceptance
Summarize the major swing factors that would determine countries’ preference and effectively drive the uptake of a TB vaccine in terms of the date of introduction and the scale of catch-up campaign to reach the steady state
Understanding the acceptability of new TB vaccines, and their impact on health, cost-effectiveness, and budget, by socio-economic and risk group, in likely early adopter and other archetype countries.
we used a mathematical model to estimate the health impact and cost-effectiveness of M72/AS01E and BCG-revaccination in South Africa under a range of vaccine characteristics and delivery assumptions