The potential impact of vaccination on tuberculosis burden in India: A modelling analysis.

Indian J Med Res

Central TB Division, Ministry of Health & Family Welfare, New Delhi, India.

Published: May 2023

AI Article Synopsis

  • Vaccination, especially with Bacille Calmette-Guérin revaccination for adults and adolescents, is being considered as a crucial strategy to combat tuberculosis (TB) in India.
  • A deterministic model was used to estimate the potential impact of a 50% effective TB vaccine that targets half of the unvaccinated population starting in 2023, while also focusing on vulnerable groups, particularly those undernourished.
  • Results indicate that an infection-preventing vaccine could reduce TB incidence by 12%, while a disease-preventing vaccine could reduce it by 29%; prioritizing vulnerable groups could still lead to significant impact despite their smaller population percentage.

Article Abstract

Background & Objectives: Vaccination will play an important role in meeting the end tuberculosis (TB) goals. While certain vaccine candidates in advanced stages of clinical trials raise hope for the future availability of new tools, in the immediate term, there is also increasing interest in Bacille Calmette-Guérin revaccination among adults and adolescents as a potential strategy. Here, we sought to estimate the potential epidemiological impact of TB vaccination in India.

Methods: We developed a deterministic, age-structured, compartmental model of TB in India. Data from the recent national prevalence survey was used to inform epidemiological burden while also incorporating a vulnerable population who may be prioritized for vaccination, the latter consistent with the burden of undernutrition. Using this framework, the potential impact on incidence and mortality of a vaccine with 50 per cent efficacy was estimated, if rolled out in 2023 to cover 50 per cent of the unvaccinated each year. Simulated impacts were compared for disease- vs. infection-preventing vaccines, as well as when prioritizing vulnerable groups (those with undernutrition) rather than the general population. A sensitivity analyses were also conducted with respect to the duration, and efficacy, of vaccine immunity.

Results: When rolled out in the general population, an infection-preventing vaccine would avert 12 per cent (95% Bayesian credible intervals (Crl): 4.3-28%) of cumulative TB incidence between 2023 and 2030, while a disease-preventing vaccine would avert 29 per cent (95% Crl: 24-34%). Although the vulnerable population accounts for only around 16 per cent of India's population, prioritizing this group for vaccination would achieve almost half the impact of rollout in the general population, in the example of an infection-preventing vaccine. Sensitivity analysis also highlights the importance of the duration and efficacy of vaccine-induced immunity.

Interpretation & Conclusions: These results highlight how even a vaccine with moderate effectiveness (50%) could achieve substantial reductions in TB burden in India, especially when prioritized for the most vulnerable.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319376PMC
http://dx.doi.org/10.4103/ijmr.ijmr_328_23DOI Listing

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