Key points are not available for this paper at this time.
. We employed a Markov Chain Monte Carlo (MCMC) method for model calibration, which highlighted several key factors. The interaction between vaccination rates for young girls and older females suggests long-term benefits from vaccinating both groups, contributing to increased herd immunity. Additionally, the strong identifiability of the recovery rate emphasizes its critical role in reducing HPV prevalence and cervical cancer progression. The correlations observed indicate the dual role of vaccination in both preventing infection and promoting recovery. On the other hand, the poor identifiability of the mortality rate points to gaps in understanding the long-term burden of cervical cancer. However, since the data used are synthetic, the uncertainties highlight how important it is to use real data and break it into groups to better understand how different factors affect the results. The herd immunity threshold was calculated to be 0.4417, recommending that at least 55.83% of the population be vaccinated to halt HPV transmission and reduce cervical cancer incidence.
Oswald et al. (Thu,) studied this question.