Cost-Effectiveness of Single-Dose vs. Two-Dose HPV Vaccination in Kenya and India
by Jinyao Wang·Updated 1d ago
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Description
A Markov cohort model analysis compares the cost-effectiveness of single-dose and two-dose HPV vaccination schedules in a composite low- and middle-income country setting derived from Kenya and India. The model tracks 100,000 girls aged 9 years over a lifetime horizon, estimating costs, disability-adjusted life years averted, and incremental cost-effectiveness ratios. The dataset was authored by Jinyao Wang and last updated on June 4, 2026.
Use Cases
Compare cost-effectiveness metrics between single-dose and two-dose HPV vaccination strategies based on the described Markov model outputs.
Analyze the impact of second-dose dropout rates on vaccination program effectiveness based on scenario analyses ranging from 5% to 45%.
Evaluate the influence of single-dose protection duration on health outcomes based on scenarios of 10-year, 20-year, and lifetime protection.
Assess probabilistic uncertainty in cost-effectiveness results based on the 10,000-simulation probabilistic sensitivity analysis.
Strengths
Model is based on a cohort of 100,000 girls tracked over a lifetime horizon.
Analysis includes 10,000-simulation probabilistic sensitivity analysis to characterize uncertainty.
Results are presented for a composite LMIC setting derived from specific country data (Kenya and India).
Limitations
Dataset is a 25.0 KB DOCX file, suggesting limited scope and likely containing summary tables rather than raw simulation data.
Column-level documentation is absent; field semantics must be inferred after download.
The model uses a static direct-effect framework that does not capture herd immunity.
Provenance
Source
figshare
Collection Method
Static Markov cohort modelling analysis.
Time Range
Lifetime horizon simulation from age 9 to 99.
Freshness
Last updated 2026-06-04 05:40:42
Geography
Composite low- and middle-income country setting derived from Kenya and India.
License is CC-BY-4.0. Primary data format is DOCX.