Modeling the potential public health and economic impact of different COVID-19 booster dose vaccination strategies with an adapted vaccine in the United Kingdom.

Publication date: Jul 29, 2024

Updating vaccines is essential for combatting emerging coronavirus disease 2019 (COVID-19) variants. This study assessed the public health and economic impact of a booster dose of an adapted vaccine in the United Kingdom (UK). A Markov-decision tree model estimated the outcomes of vaccination strategies targeting various age and risk groups in the UK. Age-specific data derived from published sources were used. The model estimated case numbers, deaths, hospitalizations, medical costs, and societal costs. Scenario analyses were conducted to explore uncertainty. Vaccination targeting individuals aged ≥65 years and the high-risk population aged 12-64 years was estimated to avert 701,549 symptomatic cases, 5,599 deaths 18,086 hospitalizations 56,326 post-COVID condition cases, and 38,263 lost quality-adjusted life years (QALYs), translating into direct and societal cost savings of lb112,174,054 and lb542,758,682, respectively. The estimated economically justifiable price at willingness-to-pay thresholds of lb20,000 and lb30,000 per QALY was lb43 and lb61, respectively, from the payer perspective and lb64 and lb82, respectively, from the societal perspective. Expanding to additional age groups improved the public health impact. Targeting individuals aged ≥65 years and those aged 12-64 years at high risk yields public health gains, but expansion to additional age groups provides additional gains.

Concepts Keywords
Coronavirus Adapted vaccine
Covid Booster vaccine
Economic COVID-19
Hospitalizations SARS-CoV-2
United Kingdom

Semantics

Type Source Name
disease MESH COVID-19
disease VO dose
disease VO vaccination
disease VO vaccine
disease VO age
disease MESH uncertainty
disease VO population
disease MESH post-COVID condition
disease IDO quality

Original Article

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