Mathematical modeling of the impact of HPV vaccine uptake in reducing cervical cancer using a graph-theoretic approach via Caputo fractional-order derivatives
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Publisher
Elsevier
Abstract
Please read abstract in the article.
Description
DATA AVAILABILITY : The findings of this study are based on synthetic data and published epidemiological studies, as outlined in Table 2. The parameters were estimated using these sources, and all data and model estimates are thoroughly documented in the manuscript to ensure transparency for replication and further analysis.
Keywords
Human papillomavirus (HPV), Sexually transmitted infection (STI), Markov chain Monte Carlo (MCMC), Partial rank correlation coefficients (PRCC), Mittag-Leffler, Trivial node, Irreducible, Self-loop, Memory effect, Predictor–corrector, Hyers–Ulam stability
Sustainable Development Goals
SDG-03: Good health and well-being
Citation
Oswald, S., Mureithi, E.W., Berge, T. et al. 2025, 'Mathematical modeling of the impact of HPV vaccine uptake in reducing cervical cancer using a graph-theoretic approach via Caputo fractional-order derivatives', Computer Methods and Programs in Biomedicine Update, vol. 8, art. 100216, pp. 1-27, doi : 10.1016/j.cmpbup.2025.100216.