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Item new Peer-reviewed Added

US childhood hepatitis B vaccine policy changes modelled to increase chronic infections

A Markov model of a 3.6 million US birth cohort projects 83% more childhood chronic hepatitis B infections under shared decision making.

The study modelled proposed changes to the US childhood hepatitis B vaccination schedule. The cohort was a single birth cohort of 3.6 million US-born infants. A Markov cohort state transition model ran over 20 years. It used maternal HBV prevalence of 0.4%, test sensitivity of 99.5% and age-stratified risk of chronic infection. Universal birth-dose vaccination gave 255 childhood chronic infections (95% UI 130 to 530). Deferred two-month vaccination raised this by 19% to 303. Shared decision making raised it by 83% to 467 (95% UI 209 to 1032). Susceptible people at year 20 rose from 232,000 to 474,000 and 1,806,000 respectively. The main limitation is uncertainty in the risk of horizontal HBV infection.

Why it is interesting: Quantifies the infection burden attached to a specific vaccination schedule change. Also reports how many children would enter adulthood susceptible to hepatitis B each year.

Source
Annals of Internal Medicine, 20 October 2026
Paper
Projected Effect of 2026 Federal Changes to the Childhood Immunization Schedule on Chronic Hepatitis B Virus Infections in the United States
Authors
Mohareb AM, Ganapathi L, Dugdale CM, Rajbhandari R, Ciaranello A, Neilan AM et al.
DOI
10.7326/annals-26-02135
Type
Peer-reviewed article
Design
Markov cohort state-transition model of perinatal and childhood HBV infection, one US birth cohort (n=3.6 million), 20-year horizon, probabilistic sensitivity analysis
Verdict
New finding
Driver
Value in health
Driver
Infection and pandemics

Other drivers in Data, models and systems