Evidence map›Paper›PMID 42521899›Full record

ArticleApplied health economics and health policy2026

Cost-Effectiveness of Adult Hepatitis A Vaccination Strategies in Korea Under an Aging Susceptibility Profile.

Yuna Lim, Gerardo Chowell, Eunok Jung

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Article in Applied health economics and health policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Yuna LimDepartment of Mathematics, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea.
Gerardo ChowellDepartment of Population Health Sciences, Georgia State University, Atlanta, GA, USA.
Eunok JungDepartment of Mathematics, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea. junge@konkuk.ac.kr.ORCID http://orcid.org/0000-0002-7411-3134

Funding

Korea National Research Foundation (NRF) NRF-2021R1A2C100448711The Government-wide R&D to Advance Infectious Disease Prevention and Control HG23C1629US NSF Center for Analysis and Prediction of Pandemic Expansion DBI 2412115
6 · The paper itself

Abstract

backgroundHepatitis A severity increases sharply with age, while Korea is experiencing a cohort shift in which low-seroprevalence adult cohorts are aging into older, higher-fatality age groups. This demographic and immunological transition creates an urgent policy question regarding how adult vaccination should be prioritized under resource constraints.

objectiveThis study aimed to identify the most cost-effective adult hepatitis A vaccination strategy in Korea by comparing age-targeted vaccination scenarios that account for age-related mortality risk, socioeconomic disease burden, and realistic resource constraints.

methodsWe evaluated three adult vaccination scenarios targeting low-seroprevalence age groups: (S1) 20-39 years, (S2) 40-59 years with pre-vaccination antibody testing, and (S3) 20-59 years with antibody testing applied to those aged ≥ 40 years. Using an age-structured dynamic transmission model calibrated to Korean data, we derived dynamically feasible vaccination allocation trajectories under realistic capacity constraints using an optimal control framework and linked these trajectories to long-term transmission-model simulations. We conducted cost-effectiveness analyses based on disability-adjusted life years (DALYs) over a lifetime horizon from both healthcare system and societal perspectives and characterized uncertainty using probabilistic sensitivity analysis (PSA) and cost-effectiveness acceptability curves (CEACs). Robustness was examined using one-way sensitivity analyses.

resultsIn the base case (4.5% annual discount rate), vaccination targeting adults aged 40-59 years (S2) consistently yielded the most favorable and robust cost-effectiveness profile under both perspectives, with the lowest incremental cost-effectiveness ratio (ICER). Vaccination of adults aged 20-59 years (S3) achieved the largest reduction in DALYs but required substantially higher incremental costs, resulting in a higher ICER than (S2). The smallest DALY reduction was produced by S1, which was the least efficient strategy. The PSA and CEACs confirmed that S2 remained the preferred option across most willingness-to-pay ranges.

conclusionsPrioritizing adults aged 40-59 years offers the most balanced and robustly cost-effective strategy for hepatitis A vaccination in Korea, capturing substantial mortality reduction while limiting additional program costs. Broader adult vaccination may be justified when higher budgets or willingness-to-pay thresholds are acceptable, but prioritizing middle-aged adults provides the clearest value for money under epidemiological and economic conditions.

Indexed as

Hepatitis AHepatitis A VaccinesVaccinationAdultAge FactorsAgingCost-Benefit AnalysisCost-Effectiveness AnalysisDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedRepublic of KoreaYoung AdultHepatitis A Vaccines

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.