Bacillus Calmette-Guerin (BCG) vaccination: a global analysis of cost-effectiveness and optimal safety stock
Shaweno, D.; Mafirakureva, N.; Lee, A.; Wong, T. S.; Dodd, P. J.
Show abstract
BackgroundBacille Calmette-Guerin (BCG) is the most commonly-used vaccination globally, but multi-country cost-effectiveness analyses are outdated and have not considered sequelae in tuberculosis survivors. A rationale is lacking to guide the size of safety stocks. MethodsFor the 110 countries using universal neonatal BCG vaccination, we used a decision tree model to compare the costs and health benefits of status-quo BCG vaccination for children aged 0-4 years in 2023 to a counterfactual where no BCG was used, accounting for post-tuberculosis sequelae. We assessed cost-effectiveness against a threshold of 30% per capita gross domestic product from a health system perspective. We determined the safety stock that maximized expected net benefit. FindingsBCG vaccination prevented 742,000 (95% uncertainty interval[UI]: 541,000 to 991,000) tuberculosis episodes and 192,000 (95%UI:138,000 to 264,000) tuberculosis deaths globally. Of these, 49,000 (95%UI: 32,300 to 72,100) episodes and 30,000 (95%UI: 19,600 to 45,100) deaths prevented were from tuberculous meningitis. Universal neonatal BCG vaccination was cost-effective in the majority (75/110) of countries where it is used and in all countries with estimated tuberculosis incidence over 42 per 100,000 per year, with a median incremental cost-effectiveness ratio of $276 (interquartile range: $84 to $1514) per disability-adjusted life-year averted. Median optimal safety stock for a 10% uncertainty in demand was 11% (IQR: 7% to 17%) of expected demand. InterpretationBCG vaccination continues to prevent substantial morbidity and mortality in children globally, and cost-effectiveness considerations support continued universal vaccination in most countries with this policy currently. FundingUK EPSRC & DHSC
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Global and regional burden of attributable and associated bacterial antimicrobial resistance avertable by vaccination: modelling study 94%
- Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya 94%
- Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia 93%
Similar papers in this journal
- The potential impact of novel tuberculosis vaccine introduction on economic growth in low- and middle-income countries 98%
- Cost-effectiveness of screening with transcriptional signatures for incipient TB among U.S. migrants 96%
- The potential impact of reduced international donor funding on the household economic burden of tuberculosis in low- and middle-income countries 94%
Similar papers in this journal
- Cost-effectiveness and budget impact of decentralising childhood tuberculosis diagnosis: a mathematical modelling study in six high tuberculosis incidence countries 97%
- Treatment decision algorithms for tuberculosis screening and diagnosis in children below 5 years hospitalised with severe acute malnutrition: a cost-effectiveness analysis 96%
- Global Burden of Covid-19 Restrictions: National, Regional and Global Estimates 91%
Similar papers in this journal
- Potential impact, costs, and benefits of population-wide screening interventions for tuberculosis in Viet Nam: a mathematical modelling study 96%
- A Deadly Equation: The Global Toll of US TB Funding Cuts 94%
- Mapping the Existing Body of Knowledge on New and Repurposed TB Vaccine Implementation: A Scoping Review 93%
Similar papers in this journal
- Optimal Respiratory Syncytial Virus intervention programmes using Nirsevimab in England and Wales 93%
- mRNA-based COVID-19 booster vaccination is highly effective and cost-effective in Australia 93%
- COVID-19 impact on routine immunisations for vaccine-preventable diseases: Projecting the effect of different routes to recovery 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.