We developed an individual-based TB transmission model representing a hypothetical population consisting of people who worked in South African gold mines or lived in associated labor-sending communities. We simulated the implementation of a postinfection adult vaccine with 60% efficacy and a mean effect duration of 10 years.
we aimed to estimate the impact of vaccine delivery strategies that were targeted to high-incidence geographical 'hotspots' compared with randomly allocated vaccination. We developed a spatially explicit mathematical model of TB transmission that distinguished these hotspots from the general population.
We estimated gains possible with novel post-exposure vaccines, in India and Indonesia. We modeled vaccine impact on TB incidence, TB mortality, and on national income growth and the intrinsic value of living longer, known as Full-income.
We investigated the epidemiologic impact, cost-effectiveness, and budget impact of hypothetical novel prophylactic prevention of disease TB vaccines on RR/MDR-TB in China and India.
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 is an NIH-funded study which will estimate the health impact of introducing a prevention of disease vaccine for adult and adolescents in moderate to high TB burden countries. We are developing model scenarios based on input from country stakeholders, including national TB program and immunization program officials.