Requirements for global elimination of hepatitis B: a modelling study
The Lancet Infectious Diseases·
- DOI
- 10.1016/s1473-3099(16)30204-3
- PMID
- 27638356
- PMCID
- —
- OpenAlex
- W2520996611
- Study type
- Mathematical modelling
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Expanding preventive and therapeutic initiatives supports international health frameworks designed to minimize viral transmission and decrease disease-associated mortality globally.
Structured evidence summary
Research question
What strategic interventions and coverage targets are required to achieve worldwide elimination of hepatitis B infection?
Study design
Researchers constructed a computational simulation framework to project epidemic trajectories under various prevention and treatment scenarios.
Population and setting
The analysis examines a worldwide demographic scope, integrating regional variations in disease prevalence and healthcare infrastructure.
Main findings
Existing immunization programs have significantly curtailed chronic infections and fatalities, though sustained expansion of neonatal dosing, maternal antiviral administration, and broad diagnostic screening remains necessary to prevent millions of future outcomes. Achieving proposed coverage thresholds could reduce long-term expenditures and potentially reach an elimination milestone by the final decade of the century.
Public-health relevance
Expanding preventive and therapeutic initiatives supports international health frameworks designed to minimize viral transmission and decrease disease-associated mortality globally.
Important limitations
The analysis relies on computational projections rather than direct observational data, and because explicit constraints are absent, this summary is limited to the supplied single-article abstract and metadata, requiring the original paper for decision-grade interpretation.
GIDS interpretation
This publication offers theoretical projections regarding intervention thresholds and economic requirements, serving as a contextual reference for policy planning rather than a component of active epidemiological monitoring.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 9 auditable classifier relationships to diseases, places, topics, and study design.